0 KSP Residual norm 1.615728574737e-01 1 KSP Residual norm 6.879815889703e-02 2 KSP Residual norm 2.803138740535e-02 3 KSP Residual norm 1.078710949648e-02 4 KSP Residual norm 4.207625393651e-03 5 KSP Residual norm 1.807012064357e-03 6 KSP Residual norm 7.761024785768e-04 7 KSP Residual norm 6.915263182743e-04 8 KSP Residual norm 3.705250382062e-04 9 KSP Residual norm 2.114689489297e-04 10 KSP Residual norm 2.013726592103e-04 11 KSP Residual norm 9.075639850256e-05 12 KSP Residual norm 3.619123631056e-05 13 KSP Residual norm 1.515468273461e-05 14 KSP Residual norm 8.640256070946e-06 15 KSP Residual norm 8.477500404950e-06 16 KSP Residual norm 6.609574197052e-06 17 KSP Residual norm 6.595298867942e-06 18 KSP Residual norm 4.700754370733e-06 19 KSP Residual norm 4.196673773255e-06 20 KSP Residual norm 3.630685293906e-06 21 KSP Residual norm 2.052772267241e-06 22 KSP Residual norm 1.531644657763e-06 23 KSP Residual norm 1.487865582695e-06 24 KSP Residual norm 8.246789428498e-07 25 KSP Residual norm 5.359998000653e-07 26 KSP Residual norm 5.257662747166e-07 27 KSP Residual norm 4.465754569175e-07 28 KSP Residual norm 3.354790921267e-07 29 KSP Residual norm 3.354733120913e-07 30 KSP Residual norm 2.545820833202e-07 31 KSP Residual norm 2.214668796764e-07 32 KSP Residual norm 2.205410953940e-07 33 KSP Residual norm 1.909866525130e-07 34 KSP Residual norm 1.902748796152e-07 35 KSP Residual norm 1.740157479175e-07 36 KSP Residual norm 1.689297229034e-07 37 KSP Residual norm 1.635348139642e-07 38 KSP Residual norm 1.576646788626e-07 39 KSP Residual norm 1.436222856667e-07 40 KSP Residual norm 1.431676737923e-07 41 KSP Residual norm 1.317142784599e-07 42 KSP Residual norm 1.313095797429e-07 43 KSP Residual norm 1.223330785802e-07 44 KSP Residual norm 9.627530938627e-08 45 KSP Residual norm 7.561919678154e-08 46 KSP Residual norm 7.110785645695e-08 47 KSP Residual norm 6.696303702931e-08 48 KSP Residual norm 5.502739936086e-08 49 KSP Residual norm 5.355780244910e-08 50 KSP Residual norm 5.292006260239e-08 51 KSP Residual norm 5.052752631208e-08 52 KSP Residual norm 5.051609613198e-08 53 KSP Residual norm 4.866607302671e-08 54 KSP Residual norm 4.818865199304e-08 55 KSP Residual norm 4.732024434145e-08 56 KSP Residual norm 4.392317409793e-08 57 KSP Residual norm 4.329068722450e-08 58 KSP Residual norm 4.191704491999e-08 59 KSP Residual norm 3.811181103822e-08 60 KSP Residual norm 3.670079395109e-08 61 KSP Residual norm 3.667723036159e-08 62 KSP Residual norm 3.639315250588e-08 63 KSP Residual norm 3.636815700307e-08 64 KSP Residual norm 3.593478576663e-08 65 KSP Residual norm 3.592642648188e-08 66 KSP Residual norm 3.574985035594e-08 67 KSP Residual norm 3.574250455854e-08 68 KSP Residual norm 3.564002386803e-08 69 KSP Residual norm 3.551796612764e-08 70 KSP Residual norm 3.454144337669e-08 71 KSP Residual norm 3.447772056689e-08 72 KSP Residual norm 3.302130920887e-08 73 KSP Residual norm 3.289250732988e-08 74 KSP Residual norm 3.054575163963e-08 75 KSP Residual norm 2.675720202371e-08 76 KSP Residual norm 2.570957299012e-08 77 KSP Residual norm 2.567336320665e-08 78 KSP Residual norm 2.435033181749e-08 79 KSP Residual norm 2.235998409292e-08 80 KSP Residual norm 2.129596709341e-08 81 KSP Residual norm 2.113114635974e-08 82 KSP Residual norm 1.824921009612e-08 83 KSP Residual norm 1.719522490503e-08 84 KSP Residual norm 1.653835037373e-08 85 KSP Residual norm 1.346600995698e-08 86 KSP Residual norm 1.198874251177e-08 87 KSP Residual norm 1.165301393182e-08 88 KSP Residual norm 1.027657734535e-08 89 KSP Residual norm 9.953158153115e-09 90 KSP Residual norm 9.882298227180e-09 91 KSP Residual norm 9.857833613110e-09 92 KSP Residual norm 9.703645511601e-09 93 KSP Residual norm 9.696605066271e-09 94 KSP Residual norm 9.623225363663e-09 95 KSP Residual norm 9.607358592182e-09 96 KSP Residual norm 9.561588720369e-09 97 KSP Residual norm 9.488471126239e-09 98 KSP Residual norm 9.287843143142e-09 99 KSP Residual norm 9.262978064215e-09 100 KSP Residual norm 8.818058469282e-09 101 KSP Residual norm 8.571061783738e-09 102 KSP Residual norm 8.559878726121e-09 103 KSP Residual norm 8.411522067707e-09 104 KSP Residual norm 8.399375637909e-09 105 KSP Residual norm 8.026543036443e-09 106 KSP Residual norm 7.897966712975e-09 107 KSP Residual norm 7.819905156118e-09 108 KSP Residual norm 7.161931354187e-09 109 KSP Residual norm 6.535008240384e-09 110 KSP Residual norm 6.534287879341e-09 111 KSP Residual norm 5.976581611780e-09 112 KSP Residual norm 5.368428689104e-09 113 KSP Residual norm 5.328498600955e-09 114 KSP Residual norm 5.027930471270e-09 115 KSP Residual norm 4.613673409235e-09 116 KSP Residual norm 4.480613922386e-09 117 KSP Residual norm 4.477637657007e-09 118 KSP Residual norm 4.472186444398e-09 119 KSP Residual norm 4.469068075829e-09 120 KSP Residual norm 4.393567993822e-09 121 KSP Residual norm 4.382819430665e-09 122 KSP Residual norm 4.373253084023e-09 123 KSP Residual norm 4.372758153990e-09 124 KSP Residual norm 4.359280729222e-09 125 KSP Residual norm 4.358971827766e-09 126 KSP Residual norm 4.345025495677e-09 127 KSP Residual norm 4.344837240002e-09 128 KSP Residual norm 4.336747188340e-09 129 KSP Residual norm 4.336729169586e-09 130 KSP Residual norm 4.320941149310e-09 131 KSP Residual norm 4.319135364969e-09 132 KSP Residual norm 4.277138264650e-09 133 KSP Residual norm 4.244792089731e-09 134 KSP Residual norm 4.241388340576e-09 135 KSP Residual norm 4.128646798808e-09 136 KSP Residual norm 4.004204035710e-09 137 KSP Residual norm 3.993140953191e-09 138 KSP Residual norm 3.883469399301e-09 139 KSP Residual norm 3.703080292293e-09 140 KSP Residual norm 3.691902680415e-09 141 KSP Residual norm 3.639168945868e-09 142 KSP Residual norm 3.562679951780e-09 143 KSP Residual norm 3.558512463208e-09 144 KSP Residual norm 3.501499797392e-09 145 KSP Residual norm 3.402238491085e-09 146 KSP Residual norm 3.401955996682e-09 147 KSP Residual norm 3.258593491704e-09 148 KSP Residual norm 2.966338512209e-09 149 KSP Residual norm 2.860423937696e-09 150 KSP Residual norm 2.859964661205e-09 151 KSP Residual norm 2.859808715012e-09 152 KSP Residual norm 2.836101360786e-09 153 KSP Residual norm 2.835288357897e-09 154 KSP Residual norm 2.812944508062e-09 155 KSP Residual norm 2.811017668203e-09 156 KSP Residual norm 2.798280188352e-09 157 KSP Residual norm 2.793699548620e-09 158 KSP Residual norm 2.780558779914e-09 159 KSP Residual norm 2.779487599748e-09 160 KSP Residual norm 2.737625832944e-09 161 KSP Residual norm 2.734457075359e-09 162 KSP Residual norm 2.703622812613e-09 163 KSP Residual norm 2.698047412545e-09 164 KSP Residual norm 2.678669287317e-09 165 KSP Residual norm 2.599475988833e-09 166 KSP Residual norm 2.590128927988e-09 167 KSP Residual norm 2.563292306699e-09 168 KSP Residual norm 2.437160833526e-09 169 KSP Residual norm 2.346375394386e-09 170 KSP Residual norm 2.337106114629e-09 171 KSP Residual norm 2.306058561190e-09 172 KSP Residual norm 2.183855064224e-09 173 KSP Residual norm 2.165015058696e-09 174 KSP Residual norm 2.124482117819e-09 175 KSP Residual norm 2.059719379600e-09 176 KSP Residual norm 2.059312033851e-09 177 KSP Residual norm 1.985984085326e-09 178 KSP Residual norm 1.917926388087e-09 179 KSP Residual norm 1.917880701675e-09 180 KSP Residual norm 1.864660579324e-09 181 KSP Residual norm 1.859215396862e-09 182 KSP Residual norm 1.853386666540e-09 183 KSP Residual norm 1.850570002331e-09 184 KSP Residual norm 1.834243820959e-09 185 KSP Residual norm 1.833683321475e-09 186 KSP Residual norm 1.823821865226e-09 187 KSP Residual norm 1.823139172882e-09 188 KSP Residual norm 1.818499496962e-09 189 KSP Residual norm 1.813358659426e-09 190 KSP Residual norm 1.813358409803e-09 191 KSP Residual norm 1.806177486806e-09 192 KSP Residual norm 1.805944497451e-09 193 KSP Residual norm 1.792341686416e-09 194 KSP Residual norm 1.777383085655e-09 195 KSP Residual norm 1.775941558445e-09 196 KSP Residual norm 1.737618211652e-09 197 KSP Residual norm 1.722085504245e-09 198 KSP Residual norm 1.708687394762e-09 199 KSP Residual norm 1.641784727429e-09 200 KSP Residual norm 1.620105410979e-09 KSP Object: 2048 MPI processes type: gmres GMRES: restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement GMRES: happy breakdown tolerance 1e-30 maximum iterations=200, initial guess is zero tolerances: relative=1e-08, absolute=1e-50, divergence=10000 left preconditioning using PRECONDITIONED norm type for convergence test PC Object: 2048 MPI processes type: gamg MG: type is MULTIPLICATIVE, levels=3 cycles=v Cycles per PCApply=1 Using Galerkin computed coarse grid matrices Coarse grid solver -- level ------------------------------- KSP Object: (mg_coarse_) 2048 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_) 2048 MPI processes type: bjacobi block Jacobi: number of blocks = 2048 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines Local solve info for each block is in the following KSP and PC objects: [0] number of local blocks = 1, first local block number = 0 [0] local block number 0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 1.92053 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=108, cols=108 package used to perform factorization: petsc total: nonzeros=7878, allocated nonzeros=7878 total number of mallocs used during MatSetValues calls =0 using I-node routines: found 83 nodes, limit used is 5 linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=108, cols=108 total: nonzeros=4102, allocated nonzeros=4102 total number of mallocs used during MatSetValues calls =0 not using I-node routines - - - - - - - - - - - - - - - - - - [1] number of local blocks = 1, first local block number = 1 [1] local block number 0 - - - - - - - - - - - - - - - - - - [2] number of local blocks = 1, first local block number = 2 [2] local block number 0 - - - - - - - - - - - - - - - - - - [3] number of local blocks = 1, first local block number = 3 [3] local block number 0 - - - - - - - - - - - - - - - - - - [4] number of local blocks = 1, first local block number = 4 [4] local block number 0 - - - - - - - - - - - - - - - - - - [5] number of local blocks = 1, first local block number = 5 [5] local block number 0 - - - - - - - - - - - - - - - - - - [6] number of local blocks = 1, first local block number = 6 [6] local block number 0 - - - - - - - - - - - - - - - - - - [7] number of local blocks = 1, first local block number = 7 [7] local block number 0 - - - - - - - - - - - - - - - - - - not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization [8] number of local blocks = 1, first local block number = 8 [8] local block number 0 - - - - - - - - - - - - - - - - - - [9] number of local blocks = 1, first local block number = 9 [9] local block number 0 - - - - - - - - - - - - - - - - - - [10] number of local blocks = 1, first local block number = 10 [10] local block number 0 - - - - - - - - - - - - - - - - - - [11] number of local blocks = 1, first local block number = 11 [11] local block number 0 - - - - - - - - - - - - - - - - - - KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization [12] number of local blocks = 1, first local block number = 12 [12] local block number 0 - - - - - - - - - - - - - - - - - - KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines [13] number of local blocks = 1, first local block number = 13 [13] local block number 0 - - - - - - - - - - - - - - - - - - [14] number of local blocks = 1, first local block number = 14 [14] local block number 0 - - - - - - - - - - - - - - - - - - [15] number of local blocks = 1, first local block number = 15 [15] local block number 0 - - - - - - - - - - - - - - - - - - KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization [16] number of local blocks = 1, first local block number = 16 [16] local block number 0 - - - - - - - - - - - - - - - - - - [17] number of local blocks = 1, first local block number = 17 [17] local block number 0 - - - - - - - - - - - - - - - - - - [18] number of local blocks = 1, first local block number = 18 [18] local block number 0 - - - - - - - - - - - - - - - - - - [19] number of local blocks = 1, first local block number = 19 [19] local block number 0 - - - - - - - - - - - - - - - - - - [20] number of local blocks = 1, first local block number = 20 [20] local block number 0 - - - - - - - - - - - - - - - - - - [21] number of local blocks = 1, first local block number = 21 [21] local block number 0 - - - - - - - - - - - - - - - - - - [22] number of local blocks = 1, first local block number = 22 [22] local block number 0 - - - - - - - - - - - - - - - - - - [23] number of local blocks = 1, first local block number = 23 [23] local block number 0 - - - - - - - - - - - - - - - - - - [24] number of local blocks = 1, first local block number = 24 [24] local block number 0 - - - - - - - - - - - - - - - - - - [25] number of local blocks = 1, first local block number = 25 [25] local block number 0 - - - - - - - - - - - - - - - - - - [26] number of local blocks = 1, first local block number = 26 [26] local block number 0 - - - - - - - - - - - - - - - - - - [27] number of local blocks = 1, first local block number = 27 [27] local block number 0 - - - - - - - - - - - - - - - - - - [28] number of local blocks = 1, first local block number = 28 [28] local block number 0 - - - - - - - - - - - - - - - - - - [29] number of local blocks = 1, first local block number = 29 [29] local block number 0 - - - - - - - - - - - - - - - - - - [30] number of local blocks = 1, first local block number = 30 [30] local block number 0 - - - - - - - - - - - - - - - - - - [31] number of local blocks = 1, first local block number = 31 [31] local block number 0 - - - - - - - - - - - - - - - - - - [32] number of local blocks = 1, first local block number = 32 [32] local block number 0 - - - - - - - - - - - - - - - - - - [33] number of local blocks = 1, first local block number = 33 [33] local block number 0 - - - - - - - - - - - - - - - - - - [34] number of local blocks = 1, first local block number = 34 [34] local block number 0 - - - - - - - - - - - - - - - - - - [35] number of local blocks = 1, first local block number = 35 [35] local block number 0 - - - - - - - - - - - - - - - - - - [36] number of local blocks = 1, first local block number = 36 [36] local block number 0 - - - - - - - - - - - - - - - - - - [37] number of local blocks = 1, first local block number = 37 [37] local block number 0 - - - - - - - - - - - - - - - - - - [38] number of local blocks = 1, first local block number = 38 [38] local block number 0 - - - - - - - - - - - - - - - - - - [39] number of local blocks = 1, first local block number = 39 [39] local block number 0 - - - - - - - - - - - - - - - - - - [40] number of local blocks = 1, first local block number = 40 [40] local block number 0 - - - - - - - - - - - - - - - - - - [41] number of local blocks = 1, first local block number = 41 [41] local block number 0 - - - - - - - - - - - - - - - - - - [42] number of local blocks = 1, first local block number = 42 [42] local block number 0 - - - - - - - - - - - - - - - - - - [43] number of local blocks = 1, first local block number = 43 [43] local block number 0 - - - - - - - - KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 - - - - - - - - - - [44] number of local blocks = 1, first local block number = 44 [44] local block number 0 - - - - - - - - - - - - - - - - - - [45] number of local blocks = 1, first local block number = 45 [45] local block number 0 - - - - - - - - - - - - - - - - - - [46] number of local blocks = 1, first local block number = 46 [46] local block number 0 - - - - - - - - - - - - - - - - - - [47] number of local blocks = 1, first local block number = 47 [47] local block number 0 - - - - - - - - - - - - - - - - - - [48] number of local blocks = 1, first local block number = 48 [48] local block number 0 - - - - - - - - - - - - - - - - - - [49] number of local blocks = 1, first local block number = 49 [49] local block number 0 - - - - - - - - - - - - - - - - - - [50] number of local blocks = 1, first local block number = 50 [50] local block number 0 - - - - - - - - - - - - - - - - - - [51] number of local blocks = 1, first local block number = 51 [51] local block number 0 - - - - - - - - - - - - - - - - - - [52] number of local blocks = 1, first local block number = 52 [52] local block number 0 - - - - - - - - - - - - - - - - - - [53] number of local blocks = 1, first local block number = 53 [53] local block number 0 - - - - - - - - - - - - - - - - - - [54] number of local blocks = 1, first local block number = 54 [54] local block number 0 - - - - - - - - - - - - - - - - - - [55] number of local blocks = 1, first local block number = 55 [55] local block number 0 - - - - - - - - - - - - - - - - - - [56] number of local blocks = 1, first local block number = 56 [56] local block number 0 - - - - - - - - - - - - - - - - - - [57] number of local blocks = 1, first local block number = 57 [57] local block number 0 - - - - - - - - - - - - - - - - - - [58] number of local blocks = 1, first local block number = 58 [58] local block number 0 - - - - - - - - - - - - - - - - - - [59] number of local blocks = 1, first local block number = 59 [59] local block number 0 - - - - - - - - - - - - - - - - - - [60] number of local blocks = 1, first local block number = 60 [60] local block number 0 - - - - - - - - - - - - - - - - - - [61] number of local blocks = 1, first local block number = 61 [61] local block number 0 - - - - - - - - - - - - - - - - - - [62] number of local blocks = 1, first local block number = 62 [62] local block number 0 - - - - - - - - - - - - - - - - - - [63] number of local blocks = 1, first local block number = 63 [63] local block number 0 - - - - - - - - - - - - - - - - - - [64] number of local blocks = 1, first local block number = 64 [64] local block number 0 - - - - - - - - - - - - - - - - - - [65] number of local blocks = 1, first local block number = 65 [65] local block number 0 - - - - - - - - - - - - - - - - - - [66] number of local blocks = 1, first local block number = 66 [66] local block number 0 - - - - - - - - - - - - - - - - - - [67] number of local blocks = 1, first local block number = 67 [67] local block number 0 - - - - - - - - - - - - - - - - - - [68] number of local blocks = 1, first local block number = 68 [68] local block number 0 - - - - - - - - - - - - - - - - - - [69] number of local blocks = 1, first local block number = 69 [69] local block number 0 - - - - - - - - - - - - - - - - - - [70] number of local blocks = 1, first local block number = 70 [70] local block number 0 - - - - - - - - - - - - - - - - - - [71] number of local blocks = 1, first local block number = 71 [71] local block number 0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization - - - - - - - - - - - - - - - - - - [72] number of local blocks = 1, first local block number = 72 [72] local block number 0 - - - - - - - - - - - - - - - - - - [73] number of local blocks = 1, first local block number = 73 [73] local block number 0 - - - - - - - - - - - - - - - - - - [74] number of local blocks = 1, first local block number = 74 [74] local block number 0 - - - - - - - - - - - - - - - - - - [75] number of local blocks = 1, first local block number = 75 [75] local block number 0 - - - - - - - - - - - - - - - - - - [76] number of local blocks = 1, first local block number = 76 [76] local block number 0 - - - - - - - - - - - - - - - - - - [77] number of local blocks = 1, first local block number = 77 [77] local block number 0 - - - - - - - - - - - - - - - - - - [78] number of local blocks = 1, first local block number = 78 [78] local block number 0 - - - - - - - - - - - - - - - - - - [79] number of local blocks = 1, first local block number = 79 [79] local block number 0 - - - - - - - - - - - - - - - - - - [80] number of local blocks = 1, first local block number = 80 [80] local block number 0 - - - - - - - - - - - - - - - - - - [81] number of local blocks = 1, first local block number = 81 [81] local block number 0 - - - - - - - - - - - - - - - - - - [82] number of local blocks = 1, first local block number = 82 [82] local block number 0 - - - - - - - - - - - - - - - - - - [83] number of local blocks = 1, first local block number = 83 [83] local block number 0 - - - - - - - - - - - - - - - - - - [84] number of local blocks = 1, first local block number = 84 [84] local block number 0 - - - - - - - - - - - - - - - - - - [85] number of local blocks = 1, first local block number = 85 [85] local block number 0 - - - - - - - - - - - - - - - - - - [86] number of local blocks = 1, first local block number = 86 [86] local block number 0 - - - - - - - - - - - - - - - - - - [87] number of local blocks = 1, first local block number = 87 [87] local block number 0 - - - - - - - - - - - - - - - - - - [88] number of local blocks = 1, first local block number = 88 [88] local block number 0 - - - - - - - - - - - - - - - - - - [89] number of local blocks = 1, first local block number = 89 [89] local block number 0 - - - - - - - - - - - - - - - - - - [90] number of local blocks = 1, first local block number = 90 [90] local block number 0 - - - - - - - - - - - - - - - - - - [91] number of local blocks = 1, first local block number = 91 [91] local block number 0 - - - - - - - - - - - - - - - - - - [92] number of local blocks = 1, first local block number = 92 [92] local block number 0 - - - - - - - - - - - - - - - - - - [93] number of local blocks = 1, first local block number = 93 [93] local block number 0 - - - - - - - - - - - - - - - - - - [94] number of local blocks = 1, first local block number = 94 [94] local block number 0 - - - - - - - - - - - - - - - - - - [95] number of local blocks = 1, first local block number = 95 [95] local block number 0 - - - - - - - - - - - - - - - - - - [96] number of local blocks = 1, first local block number = 96 [96] local block number 0 - - - - - - - - - - - - - - - - - - [97] number of local blocks = 1, first local block number = 97 [97] local block number 0 - - - - - - - - - - - - - - - - - - [98] number of local blocks = 1, first local block number = 98 [98] local block number 0 - - - - - - - - - - - - - - - - - - [99] number of local blocks = 1, first local block number = 99 [99] lo KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization cal block number 0 - - - - - - - - - - - - - - - - - - [100] number of local blocks = 1, first local block number = 100 [100] local block number 0 - - - - - - - - - - - - - - - - - - [101] number of local blocks = 1, first local block number = 101 [101] local block number 0 - - - - - - - - - - - - - - - - - - [102] number of local blocks = 1, first local block number = 102 [102] local block number 0 - - - - - - - - - - - - - - - - - - [103] number of local blocks = 1, first local block number = 103 [103] local block number 0 - - - - - - - - - - - - - - - - - - [104] number of local blocks = 1, first local block number = 104 [104] local block number 0 - - - - - - - - - - - - - - - - - - [105] number of local blocks = 1, first local block number = 105 [105] local block number 0 - - - - - - - - - - - - - - - - - - [106] number of local blocks = 1, first local block number = 106 [106] local block number 0 - - - - - - - - - - - - - - - - - - [107] number of local blocks = 1, first local block number = 107 [107] local block number 0 - - - - - - - - - - - - - - - - - - [108] number of local blocks = 1, first local block number = 108 [108] local block number 0 - - - - - - - - - - - - - - - - - - [109] number of local blocks = 1, first local block number = 109 [109] local block number 0 - - - - - - - - - - - - - - - - - - [110] number of local blocks = 1, first local block number = 110 [110] local block number 0 - - - - - - - - - - - - - - - - - - [111] number of local blocks = 1, first local block number = 111 [111] local block number 0 - - - - - - - - - - - - - - - - - - [112] number of local blocks = 1, first local block number = 112 [112] local block number 0 - - - - - - - - - - - - - - - - - - [113] number of local blocks = 1, first local block number = 113 [113] local block number 0 - - - - - - - - - - - - - - - - - - [114] number of local blocks = 1, first local block number = 114 [114] local block number 0 - - - - - - - - - - - - - - - - - - [115] number of local blocks = 1, first local block number = 115 [115] local block number 0 - - - - - - - - - - - - - - - - - - [116] number of local blocks = 1, first local block number = 116 [116] local block number 0 - - - - - - - - - - - - - - - - - - [117] number of local blocks = 1, first local block number = 117 [117] local block number 0 - - - - - - - - - - - - - - - - - - [118] number of local blocks = 1, first local block number = 118 [118] local block number 0 - - - - - - - - - - - - - - - - - - [119] number of local blocks = 1, first local block number = 119 [119] local block number 0 - - - - - - - - - - - - - - - - - - [120] number of local blocks = 1, first local block number = 120 [120] local block number 0 - - - - - - - - - - - - - - - - - - [121] number of local blocks = 1, first local block number = 121 [121] local block number 0 - - - - - - - - - - - - - - - - - - [122] number of local blocks = 1, first local block number = 122 [122] local block number 0 - - - - - - - - - - - - - - - - - - [123] number of local blocks = 1, first local block number = 123 [123] local block number 0 - - - - - - - - - - - - - - - - - - [124] number of local blocks = 1, first local block number = 124 [124] local block number 0 - - - - - - - - - - - - - - - - - - [125] number of local blocks = 1, first local block number = 125 [125] local block number 0 - - - - - - - - - - - - - - - - - - [126] number of local blocks = 1, first local block number = 126 [126] local block number 0 - - - - - - - - - tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 - - - - - - - - - [127] number of local blocks = 1, first local block number = 127 [127] local block number 0 - - - - - - - - - - - - - - - - - - [128] number of local blocks = 1, first local block number = 128 [128] local block number 0 - - - - - - - - - - - - - - - - - - [129] number of local blocks = 1, first local block number = 129 [129] local block number 0 - - - - - - - - - - - - - - - - - - [130] number of local blocks = 1, first local block number = 130 [130] local block number 0 - - - - - - - - - - - - - - - - - - [131] number of local blocks = 1, first local block number = 131 [131] local block number 0 - - - - - - - - - - - - - - - - - - [132] number of local blocks = 1, first local block number = 132 [132] local block number 0 - - - - - - - - - - - - - - - - - - [133] number of local blocks = 1, first local block number = 133 [133] local block number 0 - - - - - - - - - - - - - - - - - - [134] number of local blocks = 1, first local block number = 134 [134] local block number 0 - - - - - - - - - - - - - - - - - - [135] number of local blocks = 1, first local block number = 135 [135] local block number 0 - - - - - - - - - - - - - - - - - - [136] number of local blocks = 1, first local block number = 136 [136] local block number 0 - - - - - - - - - - - - - - - - - - [137] number of local blocks = 1, first local block number = 137 [137] local block number 0 - - - - - - - - - - - - - - - - - - [138] number of local blocks = 1, first local block number = 138 [138] local block number 0 - - - - - - - - - - - - - - - - - - [139] number of local blocks = 1, first local block number = 139 [139] local block number 0 - - - - - - - - - - - - - - - - - - [140] number of local blocks = 1, first local block number = 140 [140] local block number 0 - - - - - - - - - - - - - - - - - - [141] number of local blocks = 1, first local block number = 141 [141] local block number 0 - - - - - - - - - - - - - - - - - - [142] number of local blocks = 1, first local block number = 142 [142] local block number 0 - - - - - - - - - - - - - - - - - - [143] number of local blocks = 1, first local block number = 143 [143] local block number 0 - - - - - - - - - - - - - - - - - - [144] number of local blocks = 1, first local block number = 144 [144] local block number 0 - - - - - - - - - - - - - - - - - - [145] number of local blocks = 1, first local block number = 145 [145] local block number 0 - - - - - - - - - - - - - - - - - - [146] number of local blocks = 1, first local block number = 146 [146] local block number 0 - - - - - - - - - - - - - - - - - - [147] number of local blocks = 1, first local block number = 147 [147] local block number 0 - - - - - - - - - - - - - - - - - - [148] number of local blocks = 1, first local block number = 148 [148] local block number 0 - - - - - - - - - - - - - - - - - - [149] number of local blocks = 1, first local block number = 149 [149] local block number 0 - - - - - - - - - - - - - - - - - - [150] number of local blocks = 1, first local block number = 150 [150] local block number 0 - - - - - - - - - - - - - - - - - - [151] number of local blocks = 1, first local block number = 151 [151] local block number 0 - - - - - - - - - - - - - - - - - - [152] number of local blocks = 1, first local block number = 152 [152] local block number 0 - - - - - - - - - - - - - - - - - - [153] number of local blocks = 1, first local block number = 153 [153] local block number 0 - - - - - - - - - - - - - - - - - - [154] number of local tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 blocks = 1, first local block number = 154 [154] local block number 0 - - - - - - - - - - - - - - - - - - [155] number of local blocks = 1, first local block number = 155 [155] local block number 0 - - - - - - - - - - - - - - - - - - [156] number of local blocks = 1, first local block number = 156 [156] local block number 0 - - - - - - - - - - - - - - - - - - [157] number of local blocks = 1, first local block number = 157 [157] local block number 0 - - - - - - - - - - - - - - - - - - [158] number of local blocks = 1, first local block number = 158 [158] local block number 0 - - - - - - - - - - - - - - - - - - [159] number of local blocks = 1, first local block number = 159 [159] local block number 0 - - - - - - - - - - - - - - - - - - [160] number of local blocks = 1, first local block number = 160 [160] local block number 0 - - - - - - - - - - - - - - - - - - [161] number of local blocks = 1, first local block number = 161 [161] local block number 0 - - - - - - - - - - - - - - - - - - [162] number of local blocks = 1, first local block number = 162 [162] local block number 0 - - - - - - - - - - - - - - - - - - [163] number of local blocks = 1, first local block number = 163 [163] local block number 0 - - - - - - - - - - - - - - - - - - [164] number of local blocks = 1, first local block number = 164 [164] local block number 0 - - - - - - - - - - - - - - - - - - [165] number of local blocks = 1, first local block number = 165 [165] local block number 0 - - - - - - - - - - - - - - - - - - [166] number of local blocks = 1, first local block number = 166 [166] local block number 0 - - - - - - - - - - - - - - - - - - [167] number of local blocks = 1, first local block number = 167 [167] local block number 0 - - - - - - - - - - - - - - - - - - [168] number of local blocks = 1, first local block number = 168 [168] local block number 0 - - - - - - - - - - - - - - - - - - [169] number of local blocks = 1, first local block number = 169 [169] local block number 0 - - - - - - - - - - - - - - - - - - [170] number of local blocks = 1, first local block number = 170 [170] local block number 0 - - - - - - - - - - - - - - - - - - [171] number of local blocks = 1, first local block number = 171 [171] local block number 0 - - - - - - - - - - - - - - - - - - [172] number of local blocks = 1, first local block number = 172 [172] local block number 0 - - - - - - - - - - - - - - - - - - [173] number of local blocks = 1, first local block number = 173 [173] local block number 0 - - - - - - - - - - - - - - - - - - [174] number of local blocks = 1, first local block number = 174 [174] local block number 0 - - - - - - - - - - - - - - - - - - [175] number of local blocks = 1, first local block number = 175 [175] local block number 0 - - - - - - - - - - - - - - - - - - [176] number of local blocks = 1, first local block number = 176 [176] local block number 0 - - - - - - - - - - - - - - - - - - [177] number of local blocks = 1, first local block number = 177 [177] local block number 0 - - - - - - - - - - - - - - - - - - [178] number of local blocks = 1, first local block number = 178 [178] local block number 0 - - - - - - - - - - - - - - - - - - [179] number of local blocks = 1, first local block number = 179 [179] local block number 0 - - - - - - - - - - - - - - - - - - [180] number of local blocks = 1, first local block number = 180 [180] local block number 0 - - - - - - - - - - - - - - - - - - [181] number of local blocks = 1, first local block number = 181 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 [181] local block number 0 - - - - - - - - - - - - - - - - - - [182] number of local blocks = 1, first local block number = 182 [182] local block number 0 - - - - - - - - - - - - - - - - - - [183] number of local blocks = 1, first local block number = 183 [183] local block number 0 - - - - - - - - - - - - - - - - - - [184] number of local blocks = 1, first local block number = 184 [184] local block number 0 - - - - - - - - - - - - - - - - - - [185] number of local blocks = 1, first local block number = 185 [185] local block number 0 - - - - - - - - - - - - - - - - - - [186] number of local blocks = 1, first local block number = 186 [186] local block number 0 - - - - - - - - - - - - - - - - - - [187] number of local blocks = 1, first local block number = 187 [187] local block number 0 - - - - - - - - - - - - - - - - - - [188] number of local blocks = 1, first local block number = 188 [188] local block number 0 - - - - - - - - - - - - - - - - - - [189] number of local blocks = 1, first local block number = 189 [189] local block number 0 - - - - - - - - - - - - - - - - - - [190] number of local blocks = 1, first local block number = 190 [190] local block number 0 - - - - - - - - - - - - - - - - - - [191] number of local blocks = 1, first local block number = 191 [191] local block number 0 - - - - - - - - - - - - - - - - - - [192] number of local blocks = 1, first local block number = 192 [192] local block number 0 - - - - - - - - - - - - - - - - - - [193] number of local blocks = 1, first local block number = 193 [193] local block number 0 - - - - - - - - - - - - - - - - - - [194] number of local blocks = 1, first local block number = 194 [194] local block number 0 - - - - - - - - - - - - - - - - - - [195] number of local blocks = 1, first local block number = 195 [195] local block number 0 - - - - - - - - - - - - - - - - - - [196] number of local blocks = 1, first local block number = 196 [196] local block number 0 - - - - - - - - - - - - - - - - - - [197] number of local blocks = 1, first local block number = 197 [197] local block number 0 - - - - - - - - - - - - - - - - - - [198] number of local blocks = 1, first local block number = 198 [198] local block number 0 - - - - - - - - - - - - - - - - - - [199] number of local blocks = 1, first local block number = 199 [199] local block number 0 - - - - - - - - - - - - - - - - - - [200] number of local blocks = 1, first local block number = 200 [200] local block number 0 - - - - - - - - - - - - - - - - - - [201] number of local blocks = 1, first local block number = 201 [201] local block number 0 - - - - - - - - - - - - - - - - - - [202] number of local blocks = 1, first local block number = 202 [202] local block number 0 - - - - - - - - - - - - - - - - - - [203] number of local blocks = 1, first local block number = 203 [203] local block number 0 - - - - - - - - - - - - - - - - - - [204] number of local blocks = 1, first local block number = 204 [204] local block number 0 - - - - - - - - - - - - - - - - - - [205] number of local blocks = 1, first local block number = 205 [205] local block number 0 - - - - - - - - - - - - - - - - - - [206] number of local blocks = 1, first local block number = 206 [206] local block number 0 - - - - - - - - - - - - - - - - - - [207] number of local blocks = 1, first local block number = 207 [207] local block number 0 - - - - - - - - - - - - - - - - - - [208] number of local blocks = 1, first local block number = 208 [208] local block number 0 - - package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 - - - - - - - - - - - - - - - - [209] number of local blocks = 1, first local block number = 209 [209] local block number 0 - - - - - - - - - - - - - - - - - - [210] number of local blocks = 1, first local block number = 210 [210] local block number 0 - - - - - - - - - - - - - - - - - - [211] number of local blocks = 1, first local block number = 211 [211] local block number 0 - - - - - - - - - - - - - - - - - - [212] number of local blocks = 1, first local block number = 212 [212] local block number 0 - - - - - - - - - - - - - - - - - - [213] number of local blocks = 1, first local block number = 213 [213] local block number 0 - - - - - - - - - - - - - - - - - - [214] number of local blocks = 1, first local block number = 214 [214] local block number 0 - - - - - - - - - - - - - - - - - - [215] number of local blocks = 1, first local block number = 215 [215] local block number 0 - - - - - - - - - - - - - - - - - - [216] number of local blocks = 1, first local block number = 216 [216] local block number 0 - - - - - - - - - - - - - - - - - - [217] number of local blocks = 1, first local block number = 217 [217] local block number 0 - - - - - - - - - - - - - - - - - - [218] number of local blocks = 1, first local block number = 218 [218] local block number 0 - - - - - - - - - - - - - - - - - - [219] number of local blocks = 1, first local block number = 219 [219] local block number 0 - - - - - - - - - - - - - - - - - - [220] number of local blocks = 1, first local block number = 220 [220] local block number 0 - - - - - - - - - - - - - - - - - - [221] number of local blocks = 1, first local block number = 221 [221] local block number 0 - - - - - - - - - - - - - - - - - - [222] number of local blocks = 1, first local block number = 222 [222] local block number 0 - - - - - - - - - - - - - - - - - - [223] number of local blocks = 1, first local block number = 223 [223] local block number 0 - - - - - - - - - - - - - - - - - - [224] number of local blocks = 1, first local block number = 224 [224] local block number 0 - - - - - - - - - - - - - - - - - - [225] number of local blocks = 1, first local block number = 225 [225] local block number 0 - - - - - - - - - - - - - - - - - - [226] number of local blocks = 1, first local block number = 226 [226] local block number 0 - - - - - - - - - - - - - - - - - - [227] number of local blocks = 1, first local block number = 227 [227] local block number 0 - - - - - - - - - - - - - - - - - - [228] number of local blocks = 1, first local block number = 228 [228] local block number 0 - - - - - - - - - - - - - - - - - - [229] number of local blocks = 1, first local block number = 229 [229] local block number 0 - - - - - - - - - - - - - - - - - - [230] number of local blocks = 1, first local block number = 230 [230] local block number 0 - - - - - - - - - - - - - - - - - - [231] number of local blocks = 1, first local block number = 231 [231] local block number 0 - - - - - - - - - - - - - - - - - - [232] number of local blocks = 1, first local block number = 232 [232] local block number 0 - - - - - - - - - - - - - - - - - - [233] number of local blocks = 1, first local block number = 233 [233] local block number 0 - - - - - - - - - - - - - - - - - - [234] number of local blocks = 1, first local block number = 234 [234] local block number 0 - - - - - - - - - - - - - - - - - - [235] number of local blocks = 1, first local block number = 235 [235] local block number 0 - - - - - - - - - - - - - - - - - - [236] tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 number of local blocks = 1, first local block number = 236 [236] local block number 0 - - - - - - - - - - - - - - - - - - [237] number of local blocks = 1, first local block number = 237 [237] local block number 0 - - - - - - - - - - - - - - - - - - [238] number of local blocks = 1, first local block number = 238 [238] local block number 0 - - - - - - - - - - - - - - - - - - [239] number of local blocks = 1, first local block number = 239 [239] local block number 0 - - - - - - - - - - - - - - - - - - [240] number of local blocks = 1, first local block number = 240 [240] local block number 0 - - - - - - - - - - - - - - - - - - [241] number of local blocks = 1, first local block number = 241 [241] local block number 0 - - - - - - - - - - - - - - - - - - [242] number of local blocks = 1, first local block number = 242 [242] local block number 0 - - - - - - - - - - - - - - - - - - [243] number of local blocks = 1, first local block number = 243 [243] local block number 0 - - - - - - - - - - - - - - - - - - [244] number of local blocks = 1, first local block number = 244 [244] local block number 0 - - - - - - - - - - - - - - - - - - [245] number of local blocks = 1, first local block number = 245 [245] local block number 0 - - - - - - - - - - - - - - - - - - [246] number of local blocks = 1, first local block number = 246 [246] local block number 0 - - - - - - - - - - - - - - - - - - [247] number of local blocks = 1, first local block number = 247 [247] local block number 0 - - - - - - - - - - - - - - - - - - [248] number of local blocks = 1, first local block number = 248 [248] local block number 0 - - - - - - - - - - - - - - - - - - [249] number of local blocks = 1, first local block number = 249 [249] local block number 0 - - - - - - - - - - - - - - - - - - [250] number of local blocks = 1, first local block number = 250 [250] local block number 0 - - - - - - - - - - - - - - - - - - [251] number of local blocks = 1, first local block number = 251 [251] local block number 0 - - - - - - - - - - - - - - - - - - [252] number of local blocks = 1, first local block number = 252 [252] local block number 0 - - - - - - - - - - - - - - - - - - [253] number of local blocks = 1, first local block number = 253 [253] local block number 0 - - - - - - - - - - - - - - - - - - [254] number of local blocks = 1, first local block number = 254 [254] local block number 0 - - - - - - - - - - - - - - - - - - [255] number of local blocks = 1, first local block number = 255 [255] local block number 0 - - - - - - - - - - - - - - - - - - [256] number of local blocks = 1, first local block number = 256 [256] local block number 0 - - - - - - - - - - - - - - - - - - tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines KSP Object: (mg_coarse_sub_) 1 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_sub_) 1 MPI processes type: lu LU: out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot matrix ordering: nd factor fill ratio given 5, needed 0 Factored matrix follows: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines package used to perform factorization: petsc total: nonzeros=1, allocated nonzeros=1 total number of mallocs used during MatSetValues calls =0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines not using I-node routines linear system matrix = precond matrix: Matrix Object: 1 MPI processes type: seqaij rows=0, cols=0 total: nonzeros=0, allocated nonzeros=0 total number of mallocs used during MatSetValues calls =0 not using I-node routines [257] number of local blocks = 1, first local block number = 257 [257] local block number 0 - - - - - - - - - - - - - - - - - - [258] number of local blocks = 1, first local block number = 258 [258] local block number 0 - - - - - - - - - - - - - - - - - - [259] number of local blocks = 1, first local block number = 259 [259] local block number 0 - - - - - - - - - - - - - - - - - - [260] number of local blocks = 1, first local block number = 260 [260] local block number 0 - - - - - - - - - - - - - - - - - - [261] number of local blocks = 1, first local block number = 261 [261] local block number 0 - - - - - - - - - - - - - - - - - - [262] number of local blocks = 1, first local block number = 262 [262] local block number 0 - - - - - - - - - - - - - - - - - - [263] number of local blocks = 1, first local block number = 263 [263] local block number 0 - - - - - - - - - - - - - - - - - - [264] number of local blocks = 1, first local block number = 264 [264] local block number 0 - - - - - - - - - - - - - - - - - - [265] number of local blocks = 1, first local block number = 265 [265] local block number 0 - - - - - - - - - - - - - - - - - - [266] number of local blocks = 1, first local block number = 266 [266] local block number 0 - - - - - - - - - - - - - - - - - - [267] number of local blocks = 1, first local block number = 267 [267] local block number 0 - - - - - - - - - - - - - - - - - - [268] number of local blocks = 1, first local block number = 268 [268] local block number 0 - - - - - - - - - - - - - - - - - - [269] number of local blocks = 1, first local block number = 269 [269] local block number 0 - - - - - - - - - - - - - - - - - - [270] number of local blocks = 1, first local block number = 270 [270] local block number 0 - - - - - - - - - - - - - - - - - - [271] number of local blocks = 1, first local block number = 271 [271] local block number 0 - - - - - - - - - - - - - - - - - - [272] number of local blocks = 1, first local block number = 272 [272] local block number 0 - - - - - - - - - - - - - - - - - - [273] number of local blocks = 1, first local block number = 273 [273] local block number 0 - - - - - - - - - - - - - - - - - - [274] number of local blocks = 1, first local block number = 274 [274] local block number 0 - - - - - - - - - - - - - - - - - - [275] number of local blocks = 1, first local block number = 275 [275] local block number 0 - - - - - - - - - - - - - - - - - - [276] number of local blocks = 1, first local block number = 276 [276] local block number 0 - - - - - - - - - - - - - - - - - - [277] number of local blocks = 1, first local block number = 277 [277] local block number 0 - - - - - - - - - - - - - - - - - - [278] number of local blocks = 1, first local block number = 278 [278] local block number 0 - - - - - - - - - - - - - - - - - - [279] number of local blocks = 1, first local block number = 279 [279] local block number 0 - - - - - - - - - - - - - - - - - - [280] number of local blocks = 1, first local block number = 280 [280] local block number 0 - - - - - - - - - - - - - - - - - - [281] number of local blocks = 1, first local block number = 281 [281] local block number 0 - - - - - - - - - - - - - - - - - - [282] number of local blocks = 1, first local block number = 282 [282] local block number 0 - - - - - - - - - - - - - - - - - - [283] number of local blocks = 1, first local block number = 283 [283] local block number 0 - - - - - - - - - - - - - - - - - - [284] number of local blocks = 1, first local block number = 284 [284] local block number 0 - - - - - - - - - - - - - - - - - - [285] number of local blocks = 1, first local block number = 285 [285] local block number 0 - - - - - - - - - - - - - - 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first local block number = 629 [629] local block number 0 - - - - - - - - - - - - - - - - - - [630] number of local blocks = 1, first local block number = 630 [630] local block number 0 - - - - - - - - - - - - - - - - - - [631] number of local blocks = 1, first local block number = 631 [631] local block number 0 - - - - - - - - - - - - - - - - - - [632] number of local blocks = 1, first local block number = 632 [632] local block number 0 - - - - - - - - - - - - - - - - - - [633] number of local blocks = 1, first local block number = 633 [633] local block number 0 - - - - - - - - - - - - - - - - - - [634] number of local blocks = 1, first local block number = 634 [634] local block number 0 - - - - - - - - - - - - - - - - - - [635] number of local blocks = 1, first local block number = 635 [635] local block number 0 - - - - - - - - - - - - - - - - - - [636] number of local blocks = 1, first local block number = 636 [636] local block number 0 - - - - - - - - - - - - - - - - - - [637] number of local blocks = 1, first local block number = 637 [637] local block number 0 - - - - - - - - - - - - - - - - - - [638] number of local blocks = 1, first local block number = 638 [638] local block number 0 - - - - - - - - - - - - - - - - - - [639] number of local blocks = 1, first local block number = 639 [639] local block number 0 - - - - - - - - - - - - - - - - - - [640] number of local blocks = 1, first local block number = 640 [640] local block number 0 - - - - - - - - - - - - - - - - - - [641] number of local blocks = 1, first local block number = 641 [641] local block number 0 - - - - - - - - - - - - - - - - - - [642] number of local blocks = 1, first local block number = 642 [642] local block number 0 - - - - - - - - - - - - - - - - - - [643] number of local blocks = 1, first local block number = 643 [643] local block number 0 - - - - - - - - - - - - - - - - - - [644] number of local blocks = 1, first local block number = 644 [644] local block number 0 - - - - - - - - - - - - - - - - - - [645] number of local blocks = 1, first local block number = 645 [645] local block number 0 - - - - - - - - - - - - - - - - - - [646] number of local blocks = 1, first local block number = 646 [646] local block number 0 - - - - - - - - - - - - - - - - - - [647] number of local blocks = 1, first local block number = 647 [647] local block number 0 - - - - - - - - - - - - - - - - - - [648] number of local blocks = 1, first local block number = 648 [648] local block number 0 - - - - - - - - - - - - - - - - - - [649] number of local blocks = 1, first local block number = 649 [649] local block number 0 - - - - - - - - - - - - - - - - - - [650] number of local blocks = 1, first local block number = 650 [650] local block number 0 - - - - - - - - - - - - - - - - - - [651] number of local blocks = 1, first local block number = 651 [651] local block number 0 - - - - - - - - - - - - - - - - - - [652] number of local blocks = 1, first local block number = 652 [652] local block number 0 - - - - - - - - - - - - - - - - - - [653] number of local blocks = 1, first local block number = 653 [653] local block number 0 - - - - - - - - - - - - - - - - - - [654] number of local blocks = 1, first local block number = 654 [654] local block number 0 - - - - - - - - - - - - - - - - - - [655] number of local blocks = 1, first local block number = 655 [655] local block number 0 - - - - - - - - - - - - - - - - - - [656] number of local blocks = 1, first local block number = 656 [656] local block number 0 - - - - - - - - - - - - - - - - - - [657] number of local blocks = 1, first local block number = 657 [657] local block number 0 - - - - - - - - - - - - - - - - - - [658] number of local blocks = 1, first local block number = 658 [658] local block number 0 - - - - - - - - - - - - - - - - - - [659] number of local blocks = 1, first local block number = 659 [659] local block number 0 - - - - - - - - - - - - - - - - - - [660] number of local blocks = 1, first local block number = 660 [660] local block number 0 - - - - - - - - - - - - - - - - - - [661] number of local blocks = 1, first local block number = 661 [661] local block number 0 - - - - - - - - - - - - - - - - - - [662] number of local blocks = 1, first local block number = 662 [662] local block number 0 - - - - - - - - - - - - - - - - - - [663] number of local blocks = 1, first local block number = 663 [663] local block number 0 - - - - - - - - - - - - - - - - - - [664] number of local blocks = 1, first local block number = 664 [664] local block number 0 - - - - - - - - - - - - - - - - - - [665] number of local blocks = 1, first local block number = 665 [665] local block number 0 - - - - - - - - - - - - - - - - - - [666] number of local blocks = 1, first local block number = 666 [666] local block number 0 - - - - - - - - - - - - - - - - - - [667] number of local blocks = 1, first local block number = 667 [667] local block number 0 - - - - - - - - - - - - - - - - - - [668] number of local blocks = 1, first local block number = 668 [668] local block number 0 - - - - - - - - - - - - - - - - - - [669] number of local blocks = 1, first local block number = 669 [669] local block number 0 - - - - - - - - - - - - - - - - - - [670] number of local blocks = 1, first local block number = 670 [670] local block number 0 - - - - - - - - - - - - - - - - - - [671] number of local blocks = 1, first local block number = 671 [671] local block number 0 - - - - - - - - - - - - - - - - - - [672] number of local blocks = 1, first local block number = 672 [672] local block number 0 - - - - - - - - - - - - - - - - - - [673] number of local blocks = 1, first local block number = 673 [673] local block number 0 - - - - - - - - - - - - - - - - - - [674] number of local blocks = 1, first local block number = 674 [674] local block number 0 - - - - - - - - - - - - - - - - - - [675] number of local blocks = 1, first local block number = 675 [675] local block number 0 - - - - - - - - - - - - - - - - - - [676] number of local blocks = 1, first local block number = 676 [676] local block number 0 - - - - - - - - - - - - - - - - - - [677] number of local blocks = 1, first local block number = 677 [677] local block number 0 - - - - - - - - - - - - - - - - - - [678] number of local blocks = 1, first local block number = 678 [678] local block number 0 - - - - - - - - - - - - - - - - - - [679] number of local blocks = 1, first local block number = 679 [679] local block number 0 - - - - - - - - - - - - - - - - - - [680] number of local blocks = 1, first local block number = 680 [680] local block number 0 - - - - - - - - - - - - - - - - - - [681] number of local blocks = 1, first local block number = 681 [681] local block number 0 - - - - - - - - - - - - - - - - - - [682] number of local blocks = 1, first local block number = 682 [682] local block number 0 - - - - - - - - - - - - - - - - - - [683] number of local blocks = 1, first local block number = 683 [683] local block number 0 - - - - - - - - - - - - - - - - - - [684] number of local blocks = 1, first local block number = 684 [684] local block number 0 - - - - - - - - - - - - - - - - - - [685] number of local blocks = 1, first local block number = 685 [685] local block number 0 - - - - - - - - - - - - - - - - - - [686] number of local blocks = 1, first local block number = 686 [686] local block number 0 - - - - - - - - - - - - - - - - - - [687] number of local blocks = 1, first local block number = 687 [687] local block number 0 - - - - - - - - - - - - - - - - - - [688] number of local blocks = 1, first local block number = 688 [688] local block number 0 - - - - - - - - - - - - - - - - - - [689] number of local blocks = 1, first local block number = 689 [689] local block number 0 - - - - - - - - - - - - - - - - - - [690] number of local blocks = 1, first local block number = 690 [690] local block number 0 - - - - - - - - - - - - - - - - - - [691] number of local blocks = 1, first local block number = 691 [691] local block number 0 - - - - - - - - - - - - - - - - - - [692] number of local blocks = 1, first local block number = 692 [692] local block number 0 - - - - - - - - - - - - - - - - - - [693] number of local blocks = 1, first local block number = 693 [693] local block number 0 - - - - - - - - - - - - - - - - - - [694] number of local blocks = 1, first local block number = 694 [694] local block number 0 - - - - - - - - - - - - - - - - - - [695] number of local blocks = 1, first local block number = 695 [695] local block number 0 - - - - - - - - - - - - - - - - - - [696] number of local blocks = 1, first local block number = 696 [696] local block number 0 - - - - - - - - - - - - - - - - - - [697] number of local blocks = 1, first local block number = 697 [697] local block number 0 - - - - - - - - - - - - - - - - - - [698] number of local blocks = 1, first local block number = 698 [698] local block number 0 - - - - - - - - - - - - - - - - - - [699] number of local blocks = 1, first local block number = 699 [699] local block number 0 - - - - - - - - - - - - - - - - - - [700] number of local blocks = 1, first local block number = 700 [700] local block number 0 - - - - - - - - - - - - - - - - - - [701] number of local blocks = 1, first local block number = 701 [701] local block number 0 - - - - - - - - - - - - - - - - - - [702] number of local blocks = 1, first local block number = 702 [702] local block number 0 - - - - - - - - - - - - - - - - - - [703] number of local blocks = 1, first local block number = 703 [703] local block number 0 - - - - - - - - - - - - - - - - - - [704] number of local blocks = 1, first local block number = 704 [704] local block number 0 - - - - - - - - - - - - - - - - - - [705] number of local blocks = 1, first local block number = 705 [705] local block number 0 - - - - - - - - - - - - - - - - - - [706] number of local blocks = 1, first local block number = 706 [706] local block number 0 - - - - - - - - - - - - - - - - - - [707] number of local blocks = 1, first local block number = 707 [707] local block number 0 - - - - - - - - - - - - - - - - - - [708] number of local blocks = 1, first local block number = 708 [708] local block number 0 - - - - - - - - - - - - - - - - - - [709] number of local blocks = 1, first local block number = 709 [709] local block number 0 - - - - - - - - - - - - - - - - - - [710] number of local blocks = 1, first local block number = 710 [710] local block number 0 - - - - - - - - - - - - - - - - - - [711] number of local blocks = 1, first local block number = 711 [711] local block number 0 - - - - - - - - - - - - - - - - - - [712] number of local blocks = 1, first local block number = 712 [712] local block number 0 - - - - - - - - - - - - - - - - - - [713] number of local blocks = 1, first local block number = 713 [713] local block number 0 - - - - - - - - - - - - - - - - - - [714] number of local blocks = 1, first local block number = 714 [714] local block number 0 - - - - - - - - - - - - - - - - - - [715] number of local blocks = 1, first local block number = 715 [715] local block number 0 - - - - - - - - - - - - - - - - - - [716] number of local blocks = 1, first local block number = 716 [716] local block number 0 - - - - - - - - - - - - - - - - - - [717] number of local blocks = 1, first local block number = 717 [717] local block number 0 - - - - - - - - - - - - - - - - - - [718] number of local blocks = 1, first local block number = 718 [718] local block number 0 - - - - - - - - - - - - - - - - - - [719] number of local blocks = 1, first local block number = 719 [719] local block number 0 - - - - - - - - - - - - - - - - - - [720] number of local blocks = 1, first local block number = 720 [720] local block number 0 - - - - - - - - - - - - - - - - - - [721] number of local blocks = 1, first local block number = 721 [721] local block number 0 - - - - - - - - - - - - - - - - - - [722] number of local blocks = 1, first local block number = 722 [722] local block number 0 - - - - - - - - - - - - - - - - - - [723] number of local blocks = 1, first local block number = 723 [723] local block number 0 - - - - - - - - - - - - - - - - - - [724] number of local blocks = 1, first local block number = 724 [724] local block number 0 - - - - - - - - - - - - - - - - - - [725] number of local blocks = 1, first local block number = 725 [725] local block number 0 - - - - - - - - - - - - - - - - - - [726] number of local blocks = 1, first local block number = 726 [726] local block number 0 - - - - - - - - - - - - - - - - - - [727] number of local blocks = 1, first local block number = 727 [727] local block number 0 - - - - - - - - - - - - - - - - - - [728] number of local blocks = 1, first local block number = 728 [728] local block number 0 - - - - - - - - - - - - - - - - - - [729] number of local blocks = 1, first local block number = 729 [729] local block number 0 - - - - - - - - - - - - - - - - - - [730] number of local blocks = 1, first local block number = 730 [730] local block number 0 - - - - - - - - - - - - - - - - - - [731] number of local blocks = 1, first local block number = 731 [731] local block number 0 - - - - - - - - - - - - - - - - - - [732] number of local blocks = 1, first local block number = 732 [732] local block number 0 - - - - - - - - - - - - - - - - - - [733] number of local blocks = 1, first local block number = 733 [733] local block number 0 - - - - - - - - - - - - - - - - - - [734] number of local blocks = 1, first local block number = 734 [734] local block number 0 - - - - - - - - - - - - - - - - - - [735] number of local blocks = 1, first local block number = 735 [735] local block number 0 - - - - - - - - - - - - - - - - - - [736] number of local blocks = 1, first local block number = 736 [736] local block number 0 - - - - - - - - - - - - - - - - - - [737] number of local blocks = 1, first local block number = 737 [737] local block number 0 - - - - - - - - - - - - - - - - - - [738] number of local blocks = 1, first local block number = 738 [738] local block number 0 - - - - - - - - - - - - - - - - - - [739] number of local blocks = 1, first local block number = 739 [739] local block number 0 - - - - - - - - - - - - - - - - - - [740] number of local blocks = 1, first local block number = 740 [740] local block number 0 - - - - - - - - - - - - - - - - - - [741] number of local blocks = 1, first local block number = 741 [741] local block number 0 - - - - - - - - - - - - - - - - - - [742] number of local blocks = 1, first local block number = 742 [742] local block number 0 - - - - - - - - - - - - - - - - - - [743] number of local blocks = 1, first local block number = 743 [743] local block number 0 - - - - - - - - - - - - - - - - - - [744] number of local blocks = 1, first local block number = 744 [744] local block number 0 - - - - - - - - - - - - - - - - - - [745] number of local blocks = 1, first local block number = 745 [745] local block number 0 - - - - - - - - - - - - - - - - - - [746] number of local blocks = 1, first local block number = 746 [746] local block number 0 - - - - - - - - - - - - - - - - - - [747] number of local blocks = 1, first local block number = 747 [747] local block number 0 - - - - - - - - - - - - - - - - - - [748] number of local blocks = 1, first local block number = 748 [748] local block number 0 - - - - - - - - - - - - - - - - - - [749] number of local blocks = 1, first local block number = 749 [749] local block number 0 - - - - - - - - - - - - - - - - - - [750] number of local blocks = 1, first local block number = 750 [750] local block number 0 - - - - - - - - - - - - - - - - - - [751] number of local blocks = 1, first local block number = 751 [751] local block number 0 - - - - - - - - - - - - - - - - - - [752] number of local blocks = 1, first local block number = 752 [752] local block number 0 - - - - - - - - - - - - - - - - - - [753] number of local blocks = 1, first local block number = 753 [753] local block number 0 - - - - - - - - - - - - - - - - - - [754] number of local blocks = 1, first local block number = 754 [754] local block number 0 - - - - - - - - - - - - - - - - - - [755] number of local blocks = 1, first local block number = 755 [755] local block number 0 - - - - - - - - - - - - - - - - - - [756] number of local blocks = 1, first local block number = 756 [756] local block number 0 - - - - - - - - - - - - - - - - - - [757] number of local blocks = 1, first local block number = 757 [757] local block number 0 - - - - - - - - - - - - - - - - - - [758] number of local blocks = 1, first local block number = 758 [758] local block number 0 - - - - - - - - - - - - - - - - - - [759] number of local blocks = 1, first local block number = 759 [759] local block number 0 - - - - - - - - - - - - - - - - - - [760] number of local blocks = 1, first local block number = 760 [760] local block number 0 - - - - - - - - - - - - - - - - - - [761] number of local blocks = 1, first local block number = 761 [761] local block number 0 - - - - - - - - - - - - - - - - - - [762] number of local blocks = 1, first local block number = 762 [762] local block number 0 - - - - - - - - - - - - - - - - - - [763] number of local blocks = 1, first local block number = 763 [763] local block number 0 - - - - - - - - - - - - - - - - - - [764] number of local blocks = 1, first local block number = 764 [764] local block number 0 - - - - - - - - - - - - - - - - - - [765] number of local blocks = 1, first local block number = 765 [765] local block number 0 - - - - - - - - - - - - - - - - - - [766] number of local blocks = 1, first local block number = 766 [766] local block number 0 - - - - - - - - - - - - - - - - - - [767] number of local blocks = 1, first local block number = 767 [767] local block number 0 - - - - - - - - - - - - - - - - - - [768] number of local blocks = 1, first local block number = 768 [768] local block number 0 - - - - - - - - - - - - - - - - - - [769] number of local blocks = 1, first local block number = 769 [769] local block number 0 - - - - - - - - - - - - - - - - - - [770] number of local blocks = 1, first local block number = 770 [770] local block number 0 - - - - - - - - - - - - - - - - - - [771] number of local blocks = 1, first local block number = 771 [771] local block number 0 - - - - - - - - - - - - - - - - - - [772] number of local blocks = 1, first local block number = 772 [772] local block number 0 - - - - - - - - - - - - - - - - - - [773] number of local blocks = 1, first local block number = 773 [773] local block number 0 - - - - - - - - - - - - - - - - - - [774] number of local blocks = 1, first local block number = 774 [774] local block number 0 - - - - - - - - - - - - - - - - - - [775] number of local blocks = 1, first local block number = 775 [775] local block number 0 - - - - - - - - - - - - - - - - - - [776] number of local blocks = 1, first local block number = 776 [776] local block number 0 - - - - - - - - - - - - - - - - - - [777] number of local blocks = 1, first local block number = 777 [777] local block number 0 - - - - - - - - - - - - - - - - - - [778] number of local blocks = 1, first local block number = 778 [778] local block number 0 - - - - - - - - - - - - - - - - - - [779] number of local blocks = 1, first local block number = 779 [779] local block number 0 - - - - - - - - - - - - - - - - - - [780] number of local blocks = 1, first local block number = 780 [780] local block number 0 - - - - - - - - - - - - - - - - - - [781] number of local blocks = 1, first local block number = 781 [781] local block number 0 - - - - - - - - - - - - - - - - - - [782] number of local blocks = 1, first local block number = 782 [782] local block number 0 - - - - - - - - - - - - - - - - - - [783] number of local blocks = 1, first local block number = 783 [783] local block number 0 - - - - - - - - - - - - - - - - - - [784] number of local blocks = 1, first local block number = 784 [784] local block number 0 - - - - - - - - - - - - - - - - - - [785] number of local blocks = 1, first local block number = 785 [785] local block number 0 - - - - - - - - - - - - - - - - - - [786] number of local blocks = 1, first local block number = 786 [786] local block number 0 - - - - - - - - - - - - - - - - - - [787] number of local blocks = 1, first local block number = 787 [787] local block number 0 - - - - - - - - - - - - - - - - - - [788] number of local blocks = 1, first local block number = 788 [788] local block number 0 - - - - - - - - - - - - - - - - - - [789] number of local blocks = 1, first local block number = 789 [789] local block number 0 - - - - - - - - - - - - - - - - - - [790] number of local blocks = 1, first local block number = 790 [790] local block number 0 - - - - - - - - - - - - - - - - - - [791] number of local blocks = 1, first local block number = 791 [791] local block number 0 - - - - - - - - - - - - - - - - - - [792] number of local blocks = 1, first local block number = 792 [792] local block number 0 - - - - - - - - - - - - - - - - - - [793] number of local blocks = 1, first local block number = 793 [793] local block number 0 - - - - - - - - - - - - - - - - - - [794] number of local blocks = 1, first local block number = 794 [794] local block number 0 - - - - - - - - - - - - - - - - - - [795] number of local blocks = 1, first local block number = 795 [795] local block number 0 - - - - - - - - - - - - - - - - - - [796] number of local blocks = 1, first local block number = 796 [796] local block number 0 - - - - - - - - - - - - - - - - - - [797] number of local blocks = 1, first local block number = 797 [797] local block number 0 - - - - - - - - - - - - - - - - - - [798] number of local blocks = 1, first local block number = 798 [798] local block number 0 - - - - - - - - - - - - - - - - - - [799] number of local blocks = 1, first local block number = 799 [799] local block number 0 - - - - - - - - - - - - - - - - - - [800] number of local blocks = 1, first local block number = 800 [800] local block number 0 - - - - - - - - - - - - - - - - - - [801] number of local blocks = 1, first local block number = 801 [801] local block number 0 - - - - - - - - - - - - - - - - - - [802] number of local blocks = 1, first local block number = 802 [802] local block number 0 - - - - - - - - - - - - - - - - - - [803] number of local blocks = 1, first local block number = 803 [803] local block number 0 - - - - - - - - - - - - - - - - - - [804] number of local blocks = 1, first local block number = 804 [804] local block number 0 - - - - - - - - - - - - - - - - - - [805] number of local blocks = 1, first local block number = 805 [805] local block number 0 - - - - - - - - - - - - - - - - - - [806] number of local blocks = 1, first local block number = 806 [806] local block number 0 - - - - - - - - - - - - - - - - - - [807] number of local blocks = 1, first local block number = 807 [807] local block number 0 - - - - - - - - - - - - - - - - - - [808] number of local blocks = 1, first local block number = 808 [808] local block number 0 - - - - - - - - - - - - - - - - - - [809] number of local blocks = 1, first local block number = 809 [809] local block number 0 - - - - - - - - - - - - - - - - - - [810] number of local blocks = 1, first local block number = 810 [810] local block number 0 - - - - - - - - - - - - - - - - - - [811] number of local blocks = 1, first local block number = 811 [811] local block number 0 - - - - - - - - - - - - - - - - - - [812] number of local blocks = 1, first local block number = 812 [812] local block number 0 - - - - - - - - - - - - - - - - - - [813] number of local blocks = 1, first local block number = 813 [813] local block number 0 - - - - - - - - - - - - - - - - - - [814] number of local blocks = 1, first local block number = 814 [814] local block number 0 - - - - - - - - - - - - - - - - - - [815] number of local blocks = 1, first local block number = 815 [815] local block number 0 - - - - - - - - - - - - - - - - - - [816] number of local blocks = 1, first local block number = 816 [816] local block number 0 - - - - - - - - - - - - - - - - - - [817] number of local blocks = 1, first local block number = 817 [817] local block number 0 - - - - - - - - - - - - - - - - - - [818] number of local blocks = 1, first local block number = 818 [818] local block number 0 - - - - - - - - - - - - - - - - - - [819] number of local blocks = 1, first local block number = 819 [819] local block number 0 - - - - - - - - - - - - - - - - - - [820] number of local blocks = 1, first local block number = 820 [820] local block number 0 - - - - - - - - - - - - - - - - - - [821] number of local blocks = 1, first local block number = 821 [821] local block number 0 - - - - - - - - - - - - - - - - - - [822] number of local blocks = 1, first local block number = 822 [822] local block number 0 - - - - - - - - - - - - - - - - - - [823] number of local blocks = 1, first local block number = 823 [823] local block number 0 - - - - - - - - - - - - - - - - - - [824] number of local blocks = 1, first local block number = 824 [824] local block number 0 - - - - - - - - - - - - - - - - - - [825] number of local blocks = 1, first local block number = 825 [825] local block number 0 - - - - - - - - - - - - - - - - - - [826] number of local blocks = 1, first local block number = 826 [826] local block number 0 - - - - - - - - - - - - - - - - - - [827] number of local blocks = 1, first local block number = 827 [827] local block number 0 - - - - - - - - - - - - - - - - - - [828] number of local blocks = 1, first local block number = 828 [828] local block number 0 - - - - - - - - - - - - - - - - - - [829] number of local blocks = 1, first local block number = 829 [829] local block number 0 - - - - - - - - - - - - - - - - - - [830] number of local blocks = 1, first local block number = 830 [830] local block number 0 - - - - - - - - - - - - - - - - - - [831] number of local blocks = 1, first local block number = 831 [831] local block number 0 - - - - - - - - - - - - - - - - - - [832] number of local blocks = 1, first local block number = 832 [832] local block number 0 - - - - - - - - - - - - - - - - - - [833] number of local blocks = 1, first local block number = 833 [833] local block number 0 - - - - - - - - - - - - - - - - - - [834] number of local blocks = 1, first local block number = 834 [834] local block number 0 - - - - - - - - - - - - - - - - - - [835] number of local blocks = 1, first local block number = 835 [835] local block number 0 - - - - - - - - - - - - - - - - - - [836] number of local blocks = 1, first local block number = 836 [836] local block number 0 - - - - - - - - - - - - - - - - - - [837] number of local blocks = 1, first local block number = 837 [837] local block number 0 - - - - - - - - - - - - - - - - - - [838] number of local blocks = 1, first local block number = 838 [838] local block number 0 - - - - - - - - - - - - - - - - - - [839] number of local blocks = 1, first local block number = 839 [839] local block number 0 - - - - - - - - - - - - - - - - - - [840] number of local blocks = 1, first local block number = 840 [840] local block number 0 - - - - - - - - - - - - - - - - - - [841] number of local blocks = 1, first local block number = 841 [841] local block number 0 - - - - - - - - - - - - - - - - - - [842] number of local blocks = 1, first local block number = 842 [842] local block number 0 - - - - - - - - - - - - - - - - - - [843] number of local blocks = 1, first local block number = 843 [843] local block number 0 - - - - - - - - - - - - - - - - - - [844] number of local blocks = 1, first local block number = 844 [844] local block number 0 - - - - - - - - - - - - - - - - - - [845] number of local blocks = 1, first local block number = 845 [845] local block number 0 - - - - - - - - - - - - - - - - - - [846] number of local blocks = 1, first local block number = 846 [846] local block number 0 - - - - - - - - - - - - - - - - - - [847] number of local blocks = 1, first local block number = 847 [847] local block number 0 - - - - - - - - - - - - - - - - - - [848] number of local blocks = 1, first local block number = 848 [848] local block number 0 - - - - - - - - - - - - - - - - - - [849] number of local blocks = 1, first local block number = 849 [849] local block number 0 - - - - - - - - - - - - - - - - - - [850] number of local blocks = 1, first local block number = 850 [850] local block number 0 - - - - - - - - - - - - - - - - - - [851] number of local blocks = 1, first local block number = 851 [851] local block number 0 - - - - - - - - - - - - - - - - - - [852] number of local blocks = 1, first local block number = 852 [852] local block number 0 - - - - - - - - - - - - - - - - - - [853] number of local blocks = 1, first local block number = 853 [853] local block number 0 - - - - - - - - - - - - - - - - - - [854] number of local blocks = 1, first local block number = 854 [854] local block number 0 - - - - - - - - - - - - - - - - - - [855] number of local blocks = 1, first local block number 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number 0 - - - - - - - - - - - - - - - - - - [887] number of local blocks = 1, first local block number = 887 [887] local block number 0 - - - - - - - - - - - - - - - - - - [888] number of local blocks = 1, first local block number = 888 [888] local block number 0 - - - - - - - - - - - - - - - - - - [889] number of local blocks = 1, first local block number = 889 [889] local block number 0 - - - - - - - - - - - - - - - - - - [890] number of local blocks = 1, first local block number = 890 [890] local block number 0 - - - - - - - - - - - - - - - - - - [891] number of local blocks = 1, first local block number = 891 [891] local block number 0 - - - - - - - - - - - - - - - - - - [892] number of local blocks = 1, first local block number = 892 [892] local block number 0 - - - - - - - - - - - - - - - - - - [893] number of local blocks = 1, first local block number = 893 [893] local block number 0 - - - - - - - - - - - - - - - - - - [894] number of local blocks = 1, first local block number 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number of local blocks = 1, first local block number = 910 [910] local block number 0 - - - - - - - - - - - - - - - - - - [911] number of local blocks = 1, first local block number = 911 [911] local block number 0 - - - - - - - - - - - - - - - - - - [912] number of local blocks = 1, first local block number = 912 [912] local block number 0 - - - - - - - - - - - - - - - - - - [913] number of local blocks = 1, first local block number = 913 [913] local block number 0 - - - - - - - - - - - - - - - - - - [914] number of local blocks = 1, first local block number = 914 [914] local block number 0 - - - - - - - - - - - - - - - - - - [915] number of local blocks = 1, first local block number = 915 [915] local block number 0 - - - - - - - - - - - - - - - - - - [916] number of local blocks = 1, first local block number = 916 [916] local block number 0 - - - - - - - - - - - - - - - - - - [917] number of local blocks = 1, first local block number = 917 [917] local block number 0 - - - - - - - - - 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number 0 - - - - - - - - - - - - - - - - - - [926] number of local blocks = 1, first local block number = 926 [926] local block number 0 - - - - - - - - - - - - - - - - - - [927] number of local blocks = 1, first local block number = 927 [927] local block number 0 - - - - - - - - - - - - - - - - - - [928] number of local blocks = 1, first local block number = 928 [928] local block number 0 - - - - - - - - - - - - - - - - - - [929] number of local blocks = 1, first local block number = 929 [929] local block number 0 - - - - - - - - - - - - - - - - - - [930] number of local blocks = 1, first local block number = 930 [930] local block number 0 - - - - - - - - - - - - - - - - - - [931] number of local blocks = 1, first local block number = 931 [931] local block number 0 - - - - - - - - - - - - - - - - - - [932] number of local blocks = 1, first local block number = 932 [932] local block number 0 - - - - - - - - - - - - - - - - - - [933] number of local blocks = 1, first local block number 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number of local blocks = 1, first local block number = 949 [949] local block number 0 - - - - - - - - - - - - - - - - - - [950] number of local blocks = 1, first local block number = 950 [950] local block number 0 - - - - - - - - - - - - - - - - - - [951] number of local blocks = 1, first local block number = 951 [951] local block number 0 - - - - - - - - - - - - - - - - - - [952] number of local blocks = 1, first local block number = 952 [952] local block number 0 - - - - - - - - - - - - - - - - - - [953] number of local blocks = 1, first local block number = 953 [953] local block number 0 - - - - - - - - - - - - - - - - - - [954] number of local blocks = 1, first local block number = 954 [954] local block number 0 - - - - - - - - - - - - - - - - - - [955] number of local blocks = 1, first local block number = 955 [955] local block number 0 - - - - - - - - - - - - - - - - - - [956] number of local blocks = 1, first local block number = 956 [956] local block number 0 - - - - - - - - - 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number 0 - - - - - - - - - - - - - - - - - - [965] number of local blocks = 1, first local block number = 965 [965] local block number 0 - - - - - - - - - - - - - - - - - - [966] number of local blocks = 1, first local block number = 966 [966] local block number 0 - - - - - - - - - - - - - - - - - - [967] number of local blocks = 1, first local block number = 967 [967] local block number 0 - - - - - - - - - - - - - - - - - - [968] number of local blocks = 1, first local block number = 968 [968] local block number 0 - - - - - - - - - - - - - - - - - - [969] number of local blocks = 1, first local block number = 969 [969] local block number 0 - - - - - - - - - - - - - - - - - - [970] number of local blocks = 1, first local block number = 970 [970] local block number 0 - - - - - - - - - - - - - - - - - - [971] number of local blocks = 1, first local block number = 971 [971] local block number 0 - - - - - - - - - - - - - - - - - - [972] number of local blocks = 1, first local block number 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first local block number = 980 [980] local block number 0 - - - - - - - - - - - - - - - - - - [981] number of local blocks = 1, first local block number = 981 [981] local block number 0 - - - - - - - - - - - - - - - - - - [982] number of local blocks = 1, first local block number = 982 [982] local block number 0 - - - - - - - - - - - - - - - - - - [983] number of local blocks = 1, first local block number = 983 [983] local block number 0 - - - - - - - - - - - - - - - - - - [984] number of local blocks = 1, first local block number = 984 [984] local block number 0 - - - - - - - - - - - - - - - - - - [985] number of local blocks = 1, first local block number = 985 [985] local block number 0 - - - - - - - - - - - - - - - - - - [986] number of local blocks = 1, first local block number = 986 [986] local block number 0 - - - - - - - - - - - - - - - - - - [987] number of local blocks = 1, first local block number = 987 [987] local block number 0 - - - - - - - - - - - - - - - - - - [988] number of local blocks = 1, first local block number = 988 [988] local block number 0 - - - - - - - - - - - - - - - - - - [989] number of local blocks = 1, first local block number = 989 [989] local block number 0 - - - - - - - - - - - - - - - - - - [990] number of local blocks = 1, first local block number = 990 [990] local block number 0 - - - - - - - - - - - - - - - - - - [991] number of local blocks = 1, first local block number = 991 [991] local block number 0 - - - - - - - - - - - - - - - - - - [992] number of local blocks = 1, first local block number = 992 [992] local block number 0 - - - - - - - - - - - - - - - - - - [993] number of local blocks = 1, first local block number = 993 [993] local block number 0 - - - - - - - - - - - - - - - - - - [994] number of local blocks = 1, first local block number = 994 [994] local block number 0 - - - - - - - - - - - - - - - - - - [995] number of local blocks = 1, first local block number = 995 [995] local block number 0 - - - - - - - - - - - - - - - - - - [996] number of local blocks = 1, first local block number = 996 [996] local block number 0 - - - - - - - - - - - - - - - - - - [997] number of local blocks = 1, first local block number = 997 [997] local block number 0 - - - - - - - - - - - - - - - - - - [998] number of local blocks = 1, first local block number = 998 [998] local block number 0 - - - - - - - - - - - - - - - - - - [999] number of local blocks = 1, first local block number = 999 [999] local block number 0 - - - - - - - - - - - - - - - - - - [1000] number of local blocks = 1, first local block number = 1000 [1000] local block number 0 - - - - - - - - - - - - - - - - - - [1001] number of local blocks = 1, first local block number = 1001 [1001] local block number 0 - - - - - - - - - - - - - - - - - - [1002] number of local blocks = 1, first local block number = 1002 [1002] local block number 0 - - - - - - - - - - - - - - - - - - [1003] number of local blocks = 1, first local block number = 1003 [1003] local block number 0 - - - - - - - - - - - - - - - - - - [1004] number of local blocks = 1, first local block number = 1004 [1004] local block number 0 - - - - - - - - - - - - - - - - - - [1005] number of local blocks = 1, first local block number = 1005 [1005] local block number 0 - - - - - - - - - - - - - - - - - - [1006] number of local blocks = 1, first local block number = 1006 [1006] local block number 0 - - - - - - - - - - - - - - - - - - [1007] number of local blocks = 1, first local block number = 1007 [1007] local block number 0 - - - - - - - - - - - - - - - - - - [1008] number of local blocks = 1, first local block number = 1008 [1008] local block number 0 - - - - - - - - - - - - - - - - - - [1009] number of local blocks = 1, first local block number = 1009 [1009] local block number 0 - - - - - - - - - - - - - - - - - - [1010] number of local blocks = 1, first local block number = 1010 [1010] local block number 0 - - - - - - - - - - - - - - - - - - [1011] number of local blocks = 1, first local block number = 1011 [1011] local block number 0 - - - - - - - - - - - - - - - - - - [1012] number of local blocks = 1, first local block number = 1012 [1012] local block number 0 - - - - - - - - - - - - - - - - - - [1013] number of local blocks = 1, first local block number = 1013 [1013] local block number 0 - - - - - - - - - - - - - - - - - - [1014] number of local blocks = 1, first local block number = 1014 [1014] local block number 0 - - - - - - - - - - - - - - - - - - [1015] number of local blocks = 1, first local block number = 1015 [1015] local block number 0 - - - - - - - - - - - - - - - - - - [1016] number of local blocks = 1, first local block number = 1016 [1016] local block number 0 - - - - - - - - - - - - - - - - - - [1017] number of local blocks = 1, first local block number = 1017 [1017] local block number 0 - - - - - - - - - - - - - - - - - - [1018] number of local blocks = 1, first local block number = 1018 [1018] local block number 0 - - - - - - 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number of local blocks = 1, first local block number = 1034 [1034] local block number 0 - - - - - - - - - - - - - - - - - - [1035] number of local blocks = 1, first local block number = 1035 [1035] local block number 0 - - - - - - - - - - - - - - - - - - [1036] number of local blocks = 1, first local block number = 1036 [1036] local block number 0 - - - - - - - - - - - - - - - - - - [1037] number of local blocks = 1, first local block number = 1037 [1037] local block number 0 - - - - - - - - - - - - - - - - - - [1038] number of local blocks = 1, first local block number = 1038 [1038] local block number 0 - - - - - - - - - - - - - - - - - - [1039] number of local blocks = 1, first local block number = 1039 [1039] local block number 0 - - - - - - - - - - - - - - - - - - [1040] number of local blocks = 1, first local block number = 1040 [1040] local block number 0 - - - - - - - - - - - - - - - - - - [1041] number of local blocks = 1, first local block number = 1041 [1041] local block number 0 - - - - - - - - - - - - - - - - - - [1042] number of local blocks = 1, first local block number = 1042 [1042] local block number 0 - - - - - - - - - - - - - - - - - - [1043] number of local blocks = 1, first local block number = 1043 [1043] local block number 0 - - - - - - - - - - - - - - - - - - [1044] number of local blocks = 1, first local block number = 1044 [1044] local block number 0 - - - - - - - - - - - - - - - - - - [1045] number of local blocks = 1, first local block number = 1045 [1045] local block number 0 - - - - - - - - - - - - - - - - - - [1046] number of local blocks = 1, first local block number = 1046 [1046] local block number 0 - - - - - - - - - - - - - - - - - - [1047] number of local blocks = 1, first local block number = 1047 [1047] local block number 0 - - - - - - - - - - - - - - - - - - [1048] number of local blocks = 1, first local block number = 1048 [1048] local block number 0 - - - - - - - - - - - - - - - - - - [1049] number of local blocks = 1, first local block number = 1049 [1049] local block number 0 - - - - - - - - - - - - - - - - - - [1050] number of local blocks = 1, first local block number = 1050 [1050] local block number 0 - - - - - - - - - - - - - - - - - - [1051] number of local blocks = 1, first local block number = 1051 [1051] local block number 0 - - - - - - - - - - - - - - - - - - [1052] number of local blocks = 1, first local block number = 1052 [1052] local block number 0 - - - - - - - - - - - - - - - - - - [1053] number of local blocks = 1, first local block number = 1053 [1053] local block number 0 - - - - - - - - - - - - - - - - - - [1054] number of local blocks = 1, first local block number = 1054 [1054] local block number 0 - - - - - - - - - - - - - - - - - - [1055] number of local blocks = 1, first local block number = 1055 [1055] local block number 0 - - - - - - - - - - - - - - - - - - [1056] number of local blocks = 1, first local block number = 1056 [1056] local block number 0 - - - - - - - - - - - - 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[1064] local block number 0 - - - - - - - - - - - - - - - - - - [1065] number of local blocks = 1, first local block number = 1065 [1065] local block number 0 - - - - - - - - - - - - - - - - - - [1066] number of local blocks = 1, first local block number = 1066 [1066] local block number 0 - - - - - - - - - - - - - - - - - - [1067] number of local blocks = 1, first local block number = 1067 [1067] local block number 0 - - - - - - - - - - - - - - - - - - [1068] number of local blocks = 1, first local block number = 1068 [1068] local block number 0 - - - - - - - - - - - - - - - - - - [1069] number of local blocks = 1, first local block number = 1069 [1069] local block number 0 - - - - - - - - - - - - - - - - - - [1070] number of local blocks = 1, first local block number = 1070 [1070] local block number 0 - - - - - - - - - - - - - - - - - - [1071] number of local blocks = 1, first local block number = 1071 [1071] local block number 0 - - - - - - - - - - - - - - - - - - [1072] number of local blocks = 1, first local block number = 1072 [1072] local block number 0 - - - - - - - - - - - - - - - - - - [1073] number of local blocks = 1, first local block number = 1073 [1073] local block number 0 - - - - - - - - - - - - - - - - - - [1074] number of local blocks = 1, first local block number = 1074 [1074] local block number 0 - - - - - - - - - - - - - - - - - - [1075] number of local blocks = 1, first local block number = 1075 [1075] local block number 0 - - - - - - - - - - - - - - - - - - [1076] number of local blocks = 1, first local block number = 1076 [1076] local block number 0 - - - - - - - - - - - - - - - - - - [1077] number of local blocks = 1, first local block number = 1077 [1077] local block number 0 - - - - - - - - - - - - - - - - - - [1078] number of local blocks = 1, first local block number = 1078 [1078] local block number 0 - - - - - - - - - - - - - - - - - - [1079] number of local blocks = 1, first local block number = 1079 [1079] local block number 0 - - - 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number = 1087 [1087] local block number 0 - - - - - - - - - - - - - - - - - - [1088] number of local blocks = 1, first local block number = 1088 [1088] local block number 0 - - - - - - - - - - - - - - - - - - [1089] number of local blocks = 1, first local block number = 1089 [1089] local block number 0 - - - - - - - - - - - - - - - - - - [1090] number of local blocks = 1, first local block number = 1090 [1090] local block number 0 - - - - - - - - - - - - - - - - - - [1091] number of local blocks = 1, first local block number = 1091 [1091] local block number 0 - - - - - - - - - - - - - - - - - - [1092] number of local blocks = 1, first local block number = 1092 [1092] local block number 0 - - - - - - - - - - - - - - - - - - [1093] number of local blocks = 1, first local block number = 1093 [1093] local block number 0 - - - - - - - - - - - - - - - - - - [1094] number of local blocks = 1, first local block number = 1094 [1094] local block number 0 - - - - - - - - - - - - - - - - - - [1095] number of local blocks = 1, first local block number = 1095 [1095] local block number 0 - - - - - - - - - - - - - - - - - - [1096] number of local blocks = 1, first local block number = 1096 [1096] local block number 0 - - - - - - - - - - - - - - - - - - [1097] number of local blocks = 1, first local block number = 1097 [1097] local block number 0 - - - - - - - - - - - - - - - - - - [1098] number of local blocks = 1, first local block number = 1098 [1098] local block number 0 - - - - - - - - - - - - - - - - - - [1099] number of local blocks = 1, first local block number = 1099 [1099] local block number 0 - - - - - - - - - - - - - - - - - - [1100] number of local blocks = 1, first local block number = 1100 [1100] local block number 0 - - - - - - - - - - - - - - - - - - [1101] number of local blocks = 1, first local block number = 1101 [1101] local block number 0 - - - - - - - - - - - - - - - - - - [1102] number of local blocks = 1, first local block number = 1102 [1102] local block number 0 - - - - - - - - - - - - - - - - - - [1103] number of local blocks = 1, first local block number = 1103 [1103] local block number 0 - - - - - - - - - - - - - - - - - - [1104] number of local blocks = 1, first local block number = 1104 [1104] local block number 0 - - - - - - - - - - - - - - - - - - [1105] number of local blocks = 1, first local block number = 1105 [1105] local block number 0 - - - - - - - - - - - - - - - - - - [1106] number of local blocks = 1, first local block number = 1106 [1106] local block number 0 - - - - - - - - - - - - - - - - - - [1107] number of local blocks = 1, first local block number = 1107 [1107] local block number 0 - - - - - - - - - - - - - - - - - - [1108] number of local blocks = 1, first local block number = 1108 [1108] local block number 0 - - - - - - - - - - - - - - - - - - [1109] number of local blocks = 1, first local block number = 1109 [1109] local block number 0 - - - - - - - - - - - - - - - - - - [1110] number of local blocks = 1, first local block number = 1110 [1110] local block number 0 - - - - - - - - - - - - - - - - - - [1111] number of local blocks = 1, first local block number = 1111 [1111] local block number 0 - - - - - - - - - - - - - - - - - - [1112] number of local blocks = 1, first local block number = 1112 [1112] local block number 0 - - - - - - - - - - - - - - - - - - [1113] number of local blocks = 1, first local block number = 1113 [1113] local block number 0 - - - - - - - - - - - - - - - - - - [1114] number of local blocks = 1, first local block number = 1114 [1114] local block number 0 - - - - - - - - - - - - - - - - - - [1115] number of local blocks = 1, first local block number = 1115 [1115] local block number 0 - - - - - - - - - - - - - - - - - - [1116] number of local blocks = 1, first local block number = 1116 [1116] local block number 0 - - - - - - - - - - - - - - - - - - [1117] number of local blocks = 1, first local block number = 1117 [1117] local block number 0 - - - - - - - - - - - - - - - - - - [1118] number of local blocks = 1, first local block number = 1118 [1118] local block number 0 - - - - - - - - - - - - - - - - - - [1119] number of local blocks = 1, first local block number = 1119 [1119] local block number 0 - - - - - - - - - - - - - - - - - - [1120] number of local blocks = 1, first local block number = 1120 [1120] local block number 0 - - - - - - - - - - - - - - - - - - [1121] number of local blocks = 1, first local block number = 1121 [1121] local block number 0 - - - - - - - - - - - - - - - - - - [1122] number of local blocks = 1, first local block number = 1122 [1122] local block number 0 - - - - - - - - - - - - - - - - - - [1123] number of local blocks = 1, first local block number = 1123 [1123] local block number 0 - - - - - - - - - - - - - - - - - - [1124] number of local blocks = 1, first local block number = 1124 [1124] local block number 0 - - - - - - - - - - - - - - - - - - [1125] number of local blocks = 1, first local block number = 1125 [1125] local block number 0 - - - - - - - - - - - - - - - - - - [1126] number of local blocks = 1, first local block number = 1126 [1126] local block number 0 - - - - - - - - - - - - - - - - - - [1127] number of local blocks = 1, first local block number = 1127 [1127] local block number 0 - - - - - - - - - - - - - - - - - - [1128] number of local blocks = 1, first local block number = 1128 [1128] local block number 0 - - - - - - - - - - - - - - - - - - [1129] number of local blocks = 1, first local block number = 1129 [1129] local block number 0 - - - - - - - - - - - - - - - - - - [1130] number of local blocks = 1, first local block number = 1130 [1130] local block number 0 - - - - - - - - - - - - - - - - - - [1131] number of local blocks = 1, first local block number = 1131 [1131] local block number 0 - - - - - - - - - - - - - - - - - - [1132] number of local blocks = 1, first local block number = 1132 [1132] local block number 0 - - - - - - - - - - - - - - - - - - [1133] number of local blocks = 1, first local block number = 1133 [1133] local block number 0 - - - - - - - - - - - - - - - - - - [1134] number of local blocks = 1, first local block number = 1134 [1134] local block number 0 - - - - - - - - - - - - - - - - - - [1135] number of local blocks = 1, first local block number = 1135 [1135] local block number 0 - - - - - - - - - - - - - - - - - - [1136] number of local blocks = 1, first local block number = 1136 [1136] local block number 0 - - - - - - - - - - - - - - - - - - [1137] number of local blocks = 1, first local block number = 1137 [1137] local block number 0 - - - - - - - - - - - - - - - - - - [1138] number of local blocks = 1, first local block number = 1138 [1138] local block number 0 - - - - - - - - - - - - - - - - - - [1139] number of local blocks = 1, first local block number = 1139 [1139] local block number 0 - - - - - - - - - - - - - - - - - - [1140] number of local blocks = 1, first local block number = 1140 [1140] local block number 0 - - - - - - - - - - - - - - - - - - [1141] number of local blocks = 1, first local block number = 1141 [1141] local block number 0 - - - - - - - - - - - - - - - - - - [1142] number of local blocks = 1, first local block number = 1142 [1142] local block number 0 - - - - - - - - - - - - - - - - - - [1143] number of local blocks = 1, first local block number = 1143 [1143] local block number 0 - - - - - - - - - - - - - - - - - - [1144] number of local blocks = 1, first local block number = 1144 [1144] local block number 0 - - - - - - - - - - - - - - - - - - [1145] number of local blocks = 1, first local block number = 1145 [1145] local block number 0 - - - - - - - - - - - - - - - - - - [1146] number of local blocks = 1, first local block number = 1146 [1146] local block number 0 - - - - - - - - - - - - - - - - - - [1147] number of local blocks = 1, first local block number = 1147 [1147] local block number 0 - - - - - - - - - - - - - - - - - - [1148] number of local blocks = 1, first local block number = 1148 [1148] local block number 0 - - - - - - - - - - - - - - - - - - [1149] number of local blocks = 1, first local block number = 1149 [1149] local block number 0 - - - - - - - - - - - - - - - - - - [1150] number of local blocks = 1, first local block number = 1150 [1150] local block number 0 - - - - - - - - - - - - - - - - - - [1151] number of local blocks = 1, first local block number = 1151 [1151] local block number 0 - - - - - - - - - - - - - - - - - - [1152] number of local blocks = 1, first local block number = 1152 [1152] local block number 0 - - - - - - - - - - - - - - - - - - [1153] number of local blocks = 1, first local block number = 1153 [1153] local block number 0 - - - - - - - - - - - - - - - - - - [1154] number of local blocks = 1, first local block number = 1154 [1154] local block number 0 - - - - - - - - - - - - - - - - - - [1155] number of local blocks = 1, first local block number = 1155 [1155] local block number 0 - - - - - - - - - - - - - - - - - - [1156] number of local blocks = 1, first local block number = 1156 [1156] local block number 0 - - - - - - - - - - - - - - - - - - [1157] number of local blocks = 1, first local block number = 1157 [1157] local block number 0 - - - - - - - - - - - - - - - - - - [1158] number of local blocks = 1, first local block number = 1158 [1158] local block number 0 - - - - - - - - - - - - - - - - - - [1159] number of local blocks = 1, first local block number = 1159 [1159] local block number 0 - - - - - - - - - - - - - - - - - - [1160] number of local blocks = 1, first local block number = 1160 [1160] local block number 0 - - - - - - - - - - - - - - - - - - [1161] number of local blocks = 1, first local block number = 1161 [1161] local block number 0 - - - - - - - - - - - - - - - - - - [1162] number of local blocks = 1, first local block number = 1162 [1162] local block number 0 - - - - - - - - - - - - - - - - - - [1163] number of local blocks = 1, first local block number = 1163 [1163] local block number 0 - - - - - - - - - - - - - - - - - - [1164] number of local blocks = 1, first local block number = 1164 [1164] local block number 0 - - - - - - - - - - - - - - - - - - [1165] number of local blocks = 1, first local block number = 1165 [1165] local block number 0 - - - - - - - - - - - - - - - - - - [1166] number of local blocks = 1, first local block number = 1166 [1166] local block number 0 - - - - - - - - - - - - - - - - - - [1167] number of local blocks = 1, first local block number = 1167 [1167] local block number 0 - - - - - - - - - - - - - - - - - - [1168] number of local blocks = 1, first local block number = 1168 [1168] local block number 0 - - - - - - - - - - - - - - - - - - [1169] number of local blocks = 1, first local block number = 1169 [1169] local block number 0 - - - - - - - - - - - - - - - - - - [1170] number of local blocks = 1, first local block number = 1170 [1170] local block number 0 - - - - - - - - - - - - - - - - - - [1171] number of local blocks = 1, first local block number = 1171 [1171] local block number 0 - - - - - - - - - - - - - - - - - - [1172] number of local blocks = 1, first local block number = 1172 [1172] local block number 0 - - - - - - - - - - - - - - - - - - [1173] number of local blocks = 1, first local block number = 1173 [1173] local block number 0 - - - - - - - - - - - - - - - - - - [1174] number of local blocks = 1, first local block number = 1174 [1174] local block number 0 - - - - - - - - - - - - - - - - - - [1175] number of local blocks = 1, first local block number = 1175 [1175] local block number 0 - - - - - - - - - - - - - - - - - - [1176] number of local blocks = 1, first local block number = 1176 [1176] local block number 0 - - - - - - - - - - - - - - - - - - [1177] number of local blocks = 1, first local block number = 1177 [1177] local block number 0 - - - - - - - - - - - - - - - - - - [1178] number of local blocks = 1, first local block number = 1178 [1178] local block number 0 - - - - - - - - - - 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[1186] local block number 0 - - - - - - - - - - - - - - - - - - [1187] number of local blocks = 1, first local block number = 1187 [1187] local block number 0 - - - - - - - - - - - - - - - - - - [1188] number of local blocks = 1, first local block number = 1188 [1188] local block number 0 - - - - - - - - - - - - - - - - - - [1189] number of local blocks = 1, first local block number = 1189 [1189] local block number 0 - - - - - - - - - - - - - - - - - - [1190] number of local blocks = 1, first local block number = 1190 [1190] local block number 0 - - - - - - - - - - - - - - - - - - [1191] number of local blocks = 1, first local block number = 1191 [1191] local block number 0 - - - - - - - - - - - - - - - - - - [1192] number of local blocks = 1, first local block number = 1192 [1192] local block number 0 - - - - - - - - - - - - - - - - - - [1193] number of local blocks = 1, first local block number = 1193 [1193] local block number 0 - - - - - - - - - - - - - - - - - - [1194] number of local blocks = 1, first local block number = 1194 [1194] local block number 0 - - - - - - - - - - - - - - - - - - [1195] number of local blocks = 1, first local block number = 1195 [1195] local block number 0 - - - - - - - - - - - - - - - - - - [1196] number of local blocks = 1, first local block number = 1196 [1196] local block number 0 - - - - - - - - - - - - - - - - - - [1197] number of local blocks = 1, first local block number = 1197 [1197] local block number 0 - - - - - - - - - - - - - - - - - - [1198] number of local blocks = 1, first local block number = 1198 [1198] local block number 0 - - - - - - - - - - - - - - - - - - [1199] number of local blocks = 1, first local block number = 1199 [1199] local block number 0 - - - - - - - - - - - - - - - - - - [1200] number of local blocks = 1, first local block number = 1200 [1200] local block number 0 - - - - - - - - - - - - - - - - - - [1201] number of local blocks = 1, first local block number = 1201 [1201] local block number 0 - - - 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number = 1209 [1209] local block number 0 - - - - - - - - - - - - - - - - - - [1210] number of local blocks = 1, first local block number = 1210 [1210] local block number 0 - - - - - - - - - - - - - - - - - - [1211] number of local blocks = 1, first local block number = 1211 [1211] local block number 0 - - - - - - - - - - - - - - - - - - [1212] number of local blocks = 1, first local block number = 1212 [1212] local block number 0 - - - - - - - - - - - - - - - - - - [1213] number of local blocks = 1, first local block number = 1213 [1213] local block number 0 - - - - - - - - - - - - - - - - - - [1214] number of local blocks = 1, first local block number = 1214 [1214] local block number 0 - - - - - - - - - - - - - - - - - - [1215] number of local blocks = 1, first local block number = 1215 [1215] local block number 0 - - - - - - - - - - - - - - - - - - [1216] number of local blocks = 1, first local block number = 1216 [1216] local block number 0 - - - - - - - - - - - - - - - - - - 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block number 0 - - - - - - - - - - - - - - - - - - [1225] number of local blocks = 1, first local block number = 1225 [1225] local block number 0 - - - - - - - - - - - - - - - - - - [1226] number of local blocks = 1, first local block number = 1226 [1226] local block number 0 - - - - - - - - - - - - - - - - - - [1227] number of local blocks = 1, first local block number = 1227 [1227] local block number 0 - - - - - - - - - - - - - - - - - - [1228] number of local blocks = 1, first local block number = 1228 [1228] local block number 0 - - - - - - - - - - - - - - - - - - [1229] number of local blocks = 1, first local block number = 1229 [1229] local block number 0 - - - - - - - - - - - - - - - - - - [1230] number of local blocks = 1, first local block number = 1230 [1230] local block number 0 - - - - - - - - - - - - - - - - - - [1231] number of local blocks = 1, first local block number = 1231 [1231] local block number 0 - - - - - - - - - - - - - - - - - - [1232] number of local blocks = 1, first local block number = 1232 [1232] local block number 0 - - - - - - - - - - - - - - - - - - [1233] number of local blocks = 1, first local block number = 1233 [1233] local block number 0 - - - - - - - - - - - - - - - - - - [1234] number of local blocks = 1, first local block number = 1234 [1234] local block number 0 - - - - - - - - - - - - - - - - - - [1235] number of local blocks = 1, first local block number = 1235 [1235] local block number 0 - - - - - - - - - - - - - - - - - - [1236] number of local blocks = 1, first local block number = 1236 [1236] local block number 0 - - - - - - - - - - - - - - - - - - [1237] number of local blocks = 1, first local block number = 1237 [1237] local block number 0 - - - - - - - - - - - - - - - - - - [1238] number of local blocks = 1, first local block number = 1238 [1238] local block number 0 - - - - - - - - - - - - - - - - - - [1239] number of local blocks = 1, first local block number = 1239 [1239] local block number 0 - - - - - - - - - - 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[1247] local block number 0 - - - - - - - - - - - - - - - - - - [1248] number of local blocks = 1, first local block number = 1248 [1248] local block number 0 - - - - - - - - - - - - - - - - - - [1249] number of local blocks = 1, first local block number = 1249 [1249] local block number 0 - - - - - - - - - - - - - - - - - - [1250] number of local blocks = 1, first local block number = 1250 [1250] local block number 0 - - - - - - - - - - - - - - - - - - [1251] number of local blocks = 1, first local block number = 1251 [1251] local block number 0 - - - - - - - - - - - - - - - - - - [1252] number of local blocks = 1, first local block number = 1252 [1252] local block number 0 - - - - - - - - - - - - - - - - - - [1253] number of local blocks = 1, first local block number = 1253 [1253] local block number 0 - - - - - - - - - - - - - - - - - - [1254] number of local blocks = 1, first local block number = 1254 [1254] local block number 0 - - - - - - - - - - - - - - - - - - [1255] number of local blocks = 1, first local block number = 1255 [1255] local block number 0 - - - - - - - - - - - - - - - - - - [1256] number of local blocks = 1, first local block number = 1256 [1256] local block number 0 - - - - - - - - - - - - - - - - - - [1257] number of local blocks = 1, first local block number = 1257 [1257] local block number 0 - - - - - - - - - - - - - - - - - - [1258] number of local blocks = 1, first local block number = 1258 [1258] local block number 0 - - - - - - - - - - - - - - - - - - [1259] number of local blocks = 1, first local block number = 1259 [1259] local block number 0 - - - - - - - - - - - - - - - - - - [1260] number of local blocks = 1, first local block number = 1260 [1260] local block number 0 - - - - - - - - - - - - - - - - - - [1261] number of local blocks = 1, first local block number = 1261 [1261] local block number 0 - - - - - - - - - - - - - - - - - - [1262] number of local blocks = 1, first local block number = 1262 [1262] local block number 0 - - - 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number = 1270 [1270] local block number 0 - - - - - - - - - - - - - - - - - - [1271] number of local blocks = 1, first local block number = 1271 [1271] local block number 0 - - - - - - - - - - - - - - - - - - [1272] number of local blocks = 1, first local block number = 1272 [1272] local block number 0 - - - - - - - - - - - - - - - - - - [1273] number of local blocks = 1, first local block number = 1273 [1273] local block number 0 - - - - - - - - - - - - - - - - - - [1274] number of local blocks = 1, first local block number = 1274 [1274] local block number 0 - - - - - - - - - - - - - - - - - - [1275] number of local blocks = 1, first local block number = 1275 [1275] local block number 0 - - - - - - - - - - - - - - - - - - [1276] number of local blocks = 1, first local block number = 1276 [1276] local block number 0 - - - - - - - - - - - - - - - - - - [1277] number of local blocks = 1, first local block number = 1277 [1277] local block number 0 - - - - - - - - - - - - - - - - - - [1278] number of local blocks = 1, first local block number = 1278 [1278] local block number 0 - - - - - - - - - - - - - - - - - - [1279] number of local blocks = 1, first local block number = 1279 [1279] local block number 0 - - - - - - - - - - - - - - - - - - [1280] number of local blocks = 1, first local block number = 1280 [1280] local block number 0 - - - - - - - - - - - - - - - - - - [1281] number of local blocks = 1, first local block number = 1281 [1281] local block number 0 - - - - - - - - - - - - - - - - - - [1282] number of local blocks = 1, first local block number = 1282 [1282] local block number 0 - - - - - - - - - - - - - - - - - - [1283] number of local blocks = 1, first local block number = 1283 [1283] local block number 0 - - - - - - - - - - - - - - - - - - [1284] number of local blocks = 1, first local block number = 1284 [1284] local block number 0 - - - - - - - - - - - - - - - - - - [1285] number of local blocks = 1, first local block number = 1285 [1285] local block number 0 - - - - - - - - - - - - - - - - - - [1286] number of local blocks = 1, first local block number = 1286 [1286] local block number 0 - - - - - - - - - - - - - - - - - - [1287] number of local blocks = 1, first local block number = 1287 [1287] local block number 0 - - - - - - - - - - - - - - - - - - [1288] number of local blocks = 1, first local block number = 1288 [1288] local block number 0 - - - - - - - - - - - - - - - - - - [1289] number of local blocks = 1, first local block number = 1289 [1289] local block number 0 - - - - - - - - - - - - - - - - - - [1290] number of local blocks = 1, first local block number = 1290 [1290] local block number 0 - - - - - - - - - - - - - - - - - - [1291] number of local blocks = 1, first local block number = 1291 [1291] local block number 0 - - - - - - - - - - - - - - - - - - [1292] number of local blocks = 1, first local block number = 1292 [1292] local block number 0 - - - - - - - - - - - - - - - - - - [1293] number of local blocks = 1, first local block number = 1293 [1293] local block number 0 - - - - - - - - - - - - - - - - - - [1294] number of local blocks = 1, first local block number = 1294 [1294] local block number 0 - - - - - - - - - - - - - - - - - - [1295] number of local blocks = 1, first local block number = 1295 [1295] local block number 0 - - - - - - - - - - - - - - - - - - [1296] number of local blocks = 1, first local block number = 1296 [1296] local block number 0 - - - - - - - - - - - - - - - - - - [1297] number of local blocks = 1, first local block number = 1297 [1297] local block number 0 - - - - - - - - - - - - - - - - - - [1298] number of local blocks = 1, first local block number = 1298 [1298] local block number 0 - - - - - - - - - - - - - - - - - - [1299] number of local blocks = 1, first local block number = 1299 [1299] local block number 0 - - - - - - - - - - - - - - - - - - [1300] number of local blocks = 1, first local block number = 1300 [1300] local block number 0 - - - - - - - - - - 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[1308] local block number 0 - - - - - - - - - - - - - - - - - - [1309] number of local blocks = 1, first local block number = 1309 [1309] local block number 0 - - - - - - - - - - - - - - - - - - [1310] number of local blocks = 1, first local block number = 1310 [1310] local block number 0 - - - - - - - - - - - - - - - - - - [1311] number of local blocks = 1, first local block number = 1311 [1311] local block number 0 - - - - - - - - - - - - - - - - - - [1312] number of local blocks = 1, first local block number = 1312 [1312] local block number 0 - - - - - - - - - - - - - - - - - - [1313] number of local blocks = 1, first local block number = 1313 [1313] local block number 0 - - - - - - - - - - - - - - - - - - [1314] number of local blocks = 1, first local block number = 1314 [1314] local block number 0 - - - - - - - - - - - - - - - - - - [1315] number of local blocks = 1, first local block number = 1315 [1315] local block number 0 - - - - - - - - - - - - - - - - - - [1316] number of local blocks = 1, first local block number = 1316 [1316] local block number 0 - - - - - - - - - - - - - - - - - - [1317] number of local blocks = 1, first local block number = 1317 [1317] local block number 0 - - - - - - - - - - - - - - - - - - [1318] number of local blocks = 1, first local block number = 1318 [1318] local block number 0 - - - - - - - - - - - - - - - - - - [1319] number of local blocks = 1, first local block number = 1319 [1319] local block number 0 - - - - - - - - - - - - - - - - - - [1320] number of local blocks = 1, first local block number = 1320 [1320] local block number 0 - - - - - - - - - - - - - - - - - - [1321] number of local blocks = 1, first local block number = 1321 [1321] local block number 0 - - - - - - - - - - - - - - - - - - [1322] number of local blocks = 1, first local block number = 1322 [1322] local block number 0 - - - - - - - - - - - - - - - - - - [1323] number of local blocks = 1, first local block number = 1323 [1323] local block number 0 - - - 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1, first local block number = 1415 [1415] local block number 0 - - - - - - - - - - - - - - - - - - [1416] number of local blocks = 1, first local block number = 1416 [1416] local block number 0 - - - - - - - - - - - - - - - - - - [1417] number of local blocks = 1, first local block number = 1417 [1417] local block number 0 - - - - - - - - - - - - - - - - - - [1418] number of local blocks = 1, first local block number = 1418 [1418] local block number 0 - - - - - - - - - - - - - - - - - - [1419] number of local blocks = 1, first local block number = 1419 [1419] local block number 0 - - - - - - - - - - - - - - - - - - [1420] number of local blocks = 1, first local block number = 1420 [1420] local block number 0 - - - - - - - - - - - - - - - - - - [1421] number of local blocks = 1, first local block number = 1421 [1421] local block number 0 - - - - - - - - - - - - - - - - - - [1422] number of local blocks = 1, first local block number = 1422 [1422] local block number 0 - - - - - - - - - - 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number = 1453 [1453] local block number 0 - - - - - - - - - - - - - - - - - - [1454] number of local blocks = 1, first local block number = 1454 [1454] local block number 0 - - - - - - - - - - - - - - - - - - [1455] number of local blocks = 1, first local block number = 1455 [1455] local block number 0 - - - - - - - - - - - - - - - - - - [1456] number of local blocks = 1, first local block number = 1456 [1456] local block number 0 - - - - - - - - - - - - - - - - - - [1457] number of local blocks = 1, first local block number = 1457 [1457] local block number 0 - - - - - - - - - - - - - - - - - - [1458] number of local blocks = 1, first local block number = 1458 [1458] local block number 0 - - - - - - - - - - - - - - - - - - [1459] number of local blocks = 1, first local block number = 1459 [1459] local block number 0 - - - - - - - - - - - - - - - - - - [1460] number of local blocks = 1, first local block number = 1460 [1460] local block number 0 - - - - - - - - - - - - - - - - - - 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block number 0 - - - - - - - - - - - - - - - - - - [1469] number of local blocks = 1, first local block number = 1469 [1469] local block number 0 - - - - - - - - - - - - - - - - - - [1470] number of local blocks = 1, first local block number = 1470 [1470] local block number 0 - - - - - - - - - - - - - - - - - - [1471] number of local blocks = 1, first local block number = 1471 [1471] local block number 0 - - - - - - - - - - - - - - - - - - [1472] number of local blocks = 1, first local block number = 1472 [1472] local block number 0 - - - - - - - - - - - - - - - - - - [1473] number of local blocks = 1, first local block number = 1473 [1473] local block number 0 - - - - - - - - - - - - - - - - - - [1474] number of local blocks = 1, first local block number = 1474 [1474] local block number 0 - - - - - - - - - - - - - - - - - - [1475] number of local blocks = 1, first local block number = 1475 [1475] local block number 0 - - - - - - - - - - - - - - - - - - [1476] number of local blocks = 1, first local block number = 1476 [1476] local block number 0 - - - - - - - - - - - - - - - - - - [1477] number of local blocks = 1, first local block number = 1477 [1477] local block number 0 - - - - - - - - - - - - - - - - - - [1478] number of local blocks = 1, first local block number = 1478 [1478] local block number 0 - - - - - - - - - - - - - - - - - - [1479] number of local blocks = 1, first local block number = 1479 [1479] local block number 0 - - - - - - - - - - - - - - - - - - [1480] number of local blocks = 1, first local block number = 1480 [1480] local block number 0 - - - - - - - - - - - - - - - - - - [1481] number of local blocks = 1, first local block number = 1481 [1481] local block number 0 - - - - - - - - - - - - - - - - - - [1482] number of local blocks = 1, first local block number = 1482 [1482] local block number 0 - - - - - - - - - - - - - - - - - - [1483] number of local blocks = 1, first local block number = 1483 [1483] local block number 0 - - - - - - - - - - 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[1491] local block number 0 - - - - - - - - - - - - - - - - - - [1492] number of local blocks = 1, first local block number = 1492 [1492] local block number 0 - - - - - - - - - - - - - - - - - - [1493] number of local blocks = 1, first local block number = 1493 [1493] local block number 0 - - - - - - - - - - - - - - - - - - [1494] number of local blocks = 1, first local block number = 1494 [1494] local block number 0 - - - - - - - - - - - - - - - - - - [1495] number of local blocks = 1, first local block number = 1495 [1495] local block number 0 - - - - - - - - - - - - - - - - - - [1496] number of local blocks = 1, first local block number = 1496 [1496] local block number 0 - - - - - - - - - - - - - - - - - - [1497] number of local blocks = 1, first local block number = 1497 [1497] local block number 0 - - - - - - - - - - - - - - - - - - [1498] number of local blocks = 1, first local block number = 1498 [1498] local block number 0 - - - - - - - - - - - - - - - - - - [1499] number of local blocks = 1, first local block number = 1499 [1499] local block number 0 - - - - - - - - - - - - - - - - - - [1500] number of local blocks = 1, first local block number = 1500 [1500] local block number 0 - - - - - - - - - - - - - - - - - - [1501] number of local blocks = 1, first local block number = 1501 [1501] local block number 0 - - - - - - - - - - - - - - - - - - [1502] number of local blocks = 1, first local block number = 1502 [1502] local block number 0 - - - - - - - - - - - - - - - - - - [1503] number of local blocks = 1, first local block number = 1503 [1503] local block number 0 - - - - - - - - - - - - - - - - - - [1504] number of local blocks = 1, first local block number = 1504 [1504] local block number 0 - - - - - - - - - - - - - - - - - - [1505] number of local blocks = 1, first local block number = 1505 [1505] local block number 0 - - - - - - - - - - - - - - - - - - [1506] number of local blocks = 1, first local block number = 1506 [1506] local block number 0 - - - 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number = 1514 [1514] local block number 0 - - - - - - - - - - - - - - - - - - [1515] number of local blocks = 1, first local block number = 1515 [1515] local block number 0 - - - - - - - - - - - - - - - - - - [1516] number of local blocks = 1, first local block number = 1516 [1516] local block number 0 - - - - - - - - - - - - - - - - - - [1517] number of local blocks = 1, first local block number = 1517 [1517] local block number 0 - - - - - - - - - - - - - - - - - - [1518] number of local blocks = 1, first local block number = 1518 [1518] local block number 0 - - - - - - - - - - - - - - - - - - [1519] number of local blocks = 1, first local block number = 1519 [1519] local block number 0 - - - - - - - - - - - - - - - - - - [1520] number of local blocks = 1, first local block number = 1520 [1520] local block number 0 - - - - - - - - - - - - - - - - - - [1521] number of local blocks = 1, first local block number = 1521 [1521] local block number 0 - - - - - - - - - - - - - - - - - - [1522] number of local blocks = 1, first local block number = 1522 [1522] local block number 0 - - - - - - - - - - - - - - - - - - [1523] number of local blocks = 1, first local block number = 1523 [1523] local block number 0 - - - - - - - - - - - - - - - - - - [1524] number of local blocks = 1, first local block number = 1524 [1524] local block number 0 - - - - - - - - - - - - - - - - - - [1525] number of local blocks = 1, first local block number = 1525 [1525] local block number 0 - - - - - - - - - - - - - - - - - - [1526] number of local blocks = 1, first local block number = 1526 [1526] local block number 0 - - - - - - - - - - - - - - - - - - [1527] number of local blocks = 1, first local block number = 1527 [1527] local block number 0 - - - - - - - - - - - - - - - - - - [1528] number of local blocks = 1, first local block number = 1528 [1528] local block number 0 - - - - - - - - - - - - - - - - - - [1529] number of local blocks = 1, first local block number = 1529 [1529] local block number 0 - - - - - - - - - - - - - - - - - - [1530] number of local blocks = 1, first local block number = 1530 [1530] local block number 0 - - - - - - - - - - - - - - - - - - [1531] number of local blocks = 1, first local block number = 1531 [1531] local block number 0 - - - - - - - - - - - - - - - - - - [1532] number of local blocks = 1, first local block number = 1532 [1532] local block number 0 - - - - - - - - - - - - - - - - - - [1533] number of local blocks = 1, first local block number = 1533 [1533] local block number 0 - - - - - - - - - - - - - - - - - - [1534] number of local blocks = 1, first local block number = 1534 [1534] local block number 0 - - - - - - - - - - - - - - - - - - [1535] number of local blocks = 1, first local block number = 1535 [1535] local block number 0 - - - - - - - - - - - - - - - - - - [1536] number of local blocks = 1, first local block number = 1536 [1536] local block number 0 - - - - - - - - - - - - - - - - - - [1537] number of local blocks = 1, first local block number = 1537 [1537] local block number 0 - - - - - - - - - - - - - - - - - - [1538] number of local blocks = 1, first local block number = 1538 [1538] local block number 0 - - - - - - - - - - - - - - - - - - [1539] number of local blocks = 1, first local block number = 1539 [1539] local block number 0 - - - - - - - - - - - - - - - - - - [1540] number of local blocks = 1, first local block number = 1540 [1540] local block number 0 - - - - - - - - - - - - - - - - - - [1541] number of local blocks = 1, first local block number = 1541 [1541] local block number 0 - - - - - - - - - - - - - - - - - - [1542] number of local blocks = 1, first local block number = 1542 [1542] local block number 0 - - - - - - - - - - - - - - - - - - [1543] number of local blocks = 1, first local block number = 1543 [1543] local block number 0 - - - - - - - - - - - - - - - - - - [1544] number of local blocks = 1, first local block number = 1544 [1544] local block number 0 - - - - - - - - - - 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[1552] local block number 0 - - - - - - - - - - - - - - - - - - [1553] number of local blocks = 1, first local block number = 1553 [1553] local block number 0 - - - - - - - - - - - - - - - - - - [1554] number of local blocks = 1, first local block number = 1554 [1554] local block number 0 - - - - - - - - - - - - - - - - - - [1555] number of local blocks = 1, first local block number = 1555 [1555] local block number 0 - - - - - - - - - - - - - - - - - - [1556] number of local blocks = 1, first local block number = 1556 [1556] local block number 0 - - - - - - - - - - - - - - - - - - [1557] number of local blocks = 1, first local block number = 1557 [1557] local block number 0 - - - - - - - - - - - - - - - - - - [1558] number of local blocks = 1, first local block number = 1558 [1558] local block number 0 - - - - - - - - - - - - - - - - - - [1559] number of local blocks = 1, first local block number = 1559 [1559] local block number 0 - - - - - - - - - - - - - - - - - - [1560] number of local blocks = 1, first local block number = 1560 [1560] local block number 0 - - - - - - - - - - - - - - - - - - [1561] number of local blocks = 1, first local block number = 1561 [1561] local block number 0 - - - - - - - - - - - - - - - - - - [1562] number of local blocks = 1, first local block number = 1562 [1562] local block number 0 - - - - - - - - - - - - - - - - - - [1563] number of local blocks = 1, first local block number = 1563 [1563] local block number 0 - - - - - - - - - - - - - - - - - - [1564] number of local blocks = 1, first local block number = 1564 [1564] local block number 0 - - - - - - - - - - - - - - - - - - [1565] number of local blocks = 1, first local block number = 1565 [1565] local block number 0 - - - - - - - - - - - - - - - - - - [1566] number of local blocks = 1, first local block number = 1566 [1566] local block number 0 - - - - - - - - - - - - - - - - - - [1567] number of local blocks = 1, first local block number = 1567 [1567] local block number 0 - - - 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number = 1575 [1575] local block number 0 - - - - - - - - - - - - - - - - - - [1576] number of local blocks = 1, first local block number = 1576 [1576] local block number 0 - - - - - - - - - - - - - - - - - - [1577] number of local blocks = 1, first local block number = 1577 [1577] local block number 0 - - - - - - - - - - - - - - - - - - [1578] number of local blocks = 1, first local block number = 1578 [1578] local block number 0 - - - - - - - - - - - - - - - - - - [1579] number of local blocks = 1, first local block number = 1579 [1579] local block number 0 - - - - - - - - - - - - - - - - - - [1580] number of local blocks = 1, first local block number = 1580 [1580] local block number 0 - - - - - - - - - - - - - - - - - - [1581] number of local blocks = 1, first local block number = 1581 [1581] local block number 0 - - - - - - - - - - - - - - - - - - [1582] number of local blocks = 1, first local block number = 1582 [1582] local block number 0 - - - - - - - - - - - - - - - - - - [1583] number of local blocks = 1, first local block number = 1583 [1583] local block number 0 - - - - - - - - - - - - - - - - - - [1584] number of local blocks = 1, first local block number = 1584 [1584] local block number 0 - - - - - - - - - - - - - - - - - - [1585] number of local blocks = 1, first local block number = 1585 [1585] local block number 0 - - - - - - - - - - - - - - - - - - [1586] number of local blocks = 1, first local block number = 1586 [1586] local block number 0 - - - - - - - - - - - - - - - - - - [1587] number of local blocks = 1, first local block number = 1587 [1587] local block number 0 - - - - - - - - - - - - - - - - - - [1588] number of local blocks = 1, first local block number = 1588 [1588] local block number 0 - - - - - - - - - - - - - - - - - - [1589] number of local blocks = 1, first local block number = 1589 [1589] local block number 0 - - - - - - - - - - - - - - - - - - [1590] number of local blocks = 1, first local block number = 1590 [1590] local block number 0 - - - - - - - - - - - - - - - - - - [1591] number of local blocks = 1, first local block number = 1591 [1591] local block number 0 - - - - - - - - - - - - - - - - - - [1592] number of local blocks = 1, first local block number = 1592 [1592] local block number 0 - - - - - - - - - - - - - - - - - - [1593] number of local blocks = 1, first local block number = 1593 [1593] local block number 0 - - - - - - - - - - - - - - - - - - [1594] number of local blocks = 1, first local block number = 1594 [1594] local block number 0 - - - - - - - - - - - - - - - - - - [1595] number of local blocks = 1, first local block number = 1595 [1595] local block number 0 - - - - - - - - - - - - - - - - - - [1596] number of local blocks = 1, first local block number = 1596 [1596] local block number 0 - - - - - - - - - - - - - - - - - - [1597] number of local blocks = 1, first local block number = 1597 [1597] local block number 0 - - - - - - - - - - - - - - - - - - [1598] number of local blocks = 1, first local block number = 1598 [1598] local block number 0 - - - - - - - - - - - - - - - - - - [1599] number of local blocks = 1, first local block number = 1599 [1599] local block number 0 - - - - - - - - - - - - - - - - - - [1600] number of local blocks = 1, first local block number = 1600 [1600] local block number 0 - - - - - - - - - - - - - - - - - - [1601] number of local blocks = 1, first local block number = 1601 [1601] local block number 0 - - - - - - - - - - - - - - - - - - [1602] number of local blocks = 1, first local block number = 1602 [1602] local block number 0 - - - - - - - - - - - - - - - - - - [1603] number of local blocks = 1, first local block number = 1603 [1603] local block number 0 - - - - - - - - - - - - - - - - - - [1604] number of local blocks = 1, first local block number = 1604 [1604] local block number 0 - - - - - - - - - - - - - - - - - - [1605] number of local blocks = 1, first local block number = 1605 [1605] local block number 0 - - - - - - - - - - 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[1613] local block number 0 - - - - - - - - - - - - - - - - - - [1614] number of local blocks = 1, first local block number = 1614 [1614] local block number 0 - - - - - - - - - - - - - - - - - - [1615] number of local blocks = 1, first local block number = 1615 [1615] local block number 0 - - - - - - - - - - - - - - - - - - [1616] number of local blocks = 1, first local block number = 1616 [1616] local block number 0 - - - - - - - - - - - - - - - - - - [1617] number of local blocks = 1, first local block number = 1617 [1617] local block number 0 - - - - - - - - - - - - - - - - - - [1618] number of local blocks = 1, first local block number = 1618 [1618] local block number 0 - - - - - - - - - - - - - - - - - - [1619] number of local blocks = 1, first local block number = 1619 [1619] local block number 0 - - - - - - - - - - - - - - - - - - [1620] number of local blocks = 1, first local block number = 1620 [1620] local block number 0 - - - - - - - - - - - - - - - - - - [1621] number of local blocks = 1, first local block number = 1621 [1621] local block number 0 - - - - - - - - - - - - - - - - - - [1622] number of local blocks = 1, first local block number = 1622 [1622] local block number 0 - - - - - - - - - - - - - - - - - - [1623] number of local blocks = 1, first local block number = 1623 [1623] local block number 0 - - - - - - - - - - - - - - - - - - [1624] number of local blocks = 1, first local block number = 1624 [1624] local block number 0 - - - - - - - - - - - - - - - - - - [1625] number of local blocks = 1, first local block number = 1625 [1625] local block number 0 - - - - - - - - - - - - - - - - - - [1626] number of local blocks = 1, first local block number = 1626 [1626] local block number 0 - - - - - - - - - - - - - - - - - - [1627] number of local blocks = 1, first local block number = 1627 [1627] local block number 0 - - - - - - - - - - - - - - - - - - [1628] number of local blocks = 1, first local block number = 1628 [1628] local block number 0 - - - 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number = 1636 [1636] local block number 0 - - - - - - - - - - - - - - - - - - [1637] number of local blocks = 1, first local block number = 1637 [1637] local block number 0 - - - - - - - - - - - - - - - - - - [1638] number of local blocks = 1, first local block number = 1638 [1638] local block number 0 - - - - - - - - - - - - - - - - - - [1639] number of local blocks = 1, first local block number = 1639 [1639] local block number 0 - - - - - - - - - - - - - - - - - - [1640] number of local blocks = 1, first local block number = 1640 [1640] local block number 0 - - - - - - - - - - - - - - - - - - [1641] number of local blocks = 1, first local block number = 1641 [1641] local block number 0 - - - - - - - - - - - - - - - - - - [1642] number of local blocks = 1, first local block number = 1642 [1642] local block number 0 - - - - - - - - - - - - - - - - - - [1643] number of local blocks = 1, first local block number = 1643 [1643] local block number 0 - - - - - - - - - - - - - - - - - - [1644] number of local blocks = 1, first local block number = 1644 [1644] local block number 0 - - - - - - - - - - - - - - - - - - [1645] number of local blocks = 1, first local block number = 1645 [1645] local block number 0 - - - - - - - - - - - - - - - - - - [1646] number of local blocks = 1, first local block number = 1646 [1646] local block number 0 - - - - - - - - - - - - - - - - - - [1647] number of local blocks = 1, first local block number = 1647 [1647] local block number 0 - - - - - - - - - - - - - - - - - - [1648] number of local blocks = 1, first local block number = 1648 [1648] local block number 0 - - - - - - - - - - - - - - - - - - [1649] number of local blocks = 1, first local block number = 1649 [1649] local block number 0 - - - - - - - - - - - - - - - - - - [1650] number of local blocks = 1, first local block number = 1650 [1650] local block number 0 - - - - - - - - - - - - - - - - - - [1651] number of local blocks = 1, first local block number = 1651 [1651] local block number 0 - - - - - - - - - - - - - - - - - - [1652] number of local blocks = 1, first local block number = 1652 [1652] local block number 0 - - - - - - - - - - - - - - - - - - [1653] number of local blocks = 1, first local block number = 1653 [1653] local block number 0 - - - - - - - - - - - - - - - - - - [1654] number of local blocks = 1, first local block number = 1654 [1654] local block number 0 - - - - - - - - - - - - - - - - - - [1655] number of local blocks = 1, first local block number = 1655 [1655] local block number 0 - - - - - - - - - - - - - - - - - - [1656] number of local blocks = 1, first local block number = 1656 [1656] local block number 0 - - - - - - - - - - - - - - - - - - [1657] number of local blocks = 1, first local block number = 1657 [1657] local block number 0 - - - - - - - - - - - - - - - - - - [1658] number of local blocks = 1, first local block number = 1658 [1658] local block number 0 - - - - - - - - - - - - - - - - - - [1659] number of local blocks = 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local blocks = 1, first local block number = 1743 [1743] local block number 0 - - - - - - - - - - - - - - - - - - [1744] number of local blocks = 1, first local block number = 1744 [1744] local block number 0 - - - - - - - - - - - - - - - - - - [1745] number of local blocks = 1, first local block number = 1745 [1745] local block number 0 - - - - - - - - - - - - - - - - - - [1746] number of local blocks = 1, first local block number = 1746 [1746] local block number 0 - - - - - - - - - - - - - - - - - - [1747] number of local blocks = 1, first local block number = 1747 [1747] local block number 0 - - - - - - - - - - - - - - - - - - [1748] number of local blocks = 1, first local block number = 1748 [1748] local block number 0 - - - - - - - - - - - - - - - - - - [1749] number of local blocks = 1, first local block number = 1749 [1749] local block number 0 - - - - - - - - - - - - - - - - - - [1750] number of local blocks = 1, first local block number = 1750 [1750] local block number 0 - - - 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number = 1758 [1758] local block number 0 - - - - - - - - - - - - - - - - - - [1759] number of local blocks = 1, first local block number = 1759 [1759] local block number 0 - - - - - - - - - - - - - - - - - - [1760] number of local blocks = 1, first local block number = 1760 [1760] local block number 0 - - - - - - - - - - - - - - - - - - [1761] number of local blocks = 1, first local block number = 1761 [1761] local block number 0 - - - - - - - - - - - - - - - - - - [1762] number of local blocks = 1, first local block number = 1762 [1762] local block number 0 - - - - - - - - - - - - - - - - - - [1763] number of local blocks = 1, first local block number = 1763 [1763] local block number 0 - - - - - - - - - - - - - - - - - - [1764] number of local blocks = 1, first local block number = 1764 [1764] local block number 0 - - - - - - - - - - - - - - - - - - [1765] number of local blocks = 1, first local block number = 1765 [1765] local block number 0 - - - - - - - - - - - - - - - - - - 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1, first local block number = 1781 [1781] local block number 0 - - - - - - - - - - - - - - - - - - [1782] number of local blocks = 1, first local block number = 1782 [1782] local block number 0 - - - - - - - - - - - - - - - - - - [1783] number of local blocks = 1, first local block number = 1783 [1783] local block number 0 - - - - - - - - - - - - - - - - - - [1784] number of local blocks = 1, first local block number = 1784 [1784] local block number 0 - - - - - - - - - - - - - - - - - - [1785] number of local blocks = 1, first local block number = 1785 [1785] local block number 0 - - - - - - - - - - - - - - - - - - [1786] number of local blocks = 1, first local block number = 1786 [1786] local block number 0 - - - - - - - - - - - - - - - - - - [1787] number of local blocks = 1, first local block number = 1787 [1787] local block number 0 - - - - - - - - - - - - - - - - - - [1788] number of local blocks = 1, first local block number = 1788 [1788] local block number 0 - - - - - - - - - - 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[1796] local block number 0 - - - - - - - - - - - - - - - - - - [1797] number of local blocks = 1, first local block number = 1797 [1797] local block number 0 - - - - - - - - - - - - - - - - - - [1798] number of local blocks = 1, first local block number = 1798 [1798] local block number 0 - - - - - - - - - - - - - - - - - - [1799] number of local blocks = 1, first local block number = 1799 [1799] local block number 0 - - - - - - - - - - - - - - - - - - [1800] number of local blocks = 1, first local block number = 1800 [1800] local block number 0 - - - - - - - - - - - - - - - - - - [1801] number of local blocks = 1, first local block number = 1801 [1801] local block number 0 - - - - - - - - - - - - - - - - - - [1802] number of local blocks = 1, first local block number = 1802 [1802] local block number 0 - - - - - - - - - - - - - - - - - - [1803] number of local blocks = 1, first local block number = 1803 [1803] local block number 0 - - - - - - - - - - - - - - - - - - [1804] number of local blocks = 1, first local block number = 1804 [1804] local block number 0 - - - - - - - - - - - - - - - - - - [1805] number of local blocks = 1, first local block number = 1805 [1805] local block number 0 - - - - - - - - - - - - - - - - - - [1806] number of local blocks = 1, first local block number = 1806 [1806] local block number 0 - - - - - - - - - - - - - - - - - - [1807] number of local blocks = 1, first local block number = 1807 [1807] local block number 0 - - - - - - - - - - - - - - - - - - [1808] number of local blocks = 1, first local block number = 1808 [1808] local block number 0 - - - - - - - - - - - - - - - - - - [1809] number of local blocks = 1, first local block number = 1809 [1809] local block number 0 - - - - - - - - - - - - - - - - - - [1810] number of local blocks = 1, first local block number = 1810 [1810] local block number 0 - - - - - - - - - - - - - - - - - - [1811] number of local blocks = 1, first local block number = 1811 [1811] local block number 0 - - - 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number = 1819 [1819] local block number 0 - - - - - - - - - - - - - - - - - - [1820] number of local blocks = 1, first local block number = 1820 [1820] local block number 0 - - - - - - - - - - - - - - - - - - [1821] number of local blocks = 1, first local block number = 1821 [1821] local block number 0 - - - - - - - - - - - - - - - - - - [1822] number of local blocks = 1, first local block number = 1822 [1822] local block number 0 - - - - - - - - - - - - - - - - - - [1823] number of local blocks = 1, first local block number = 1823 [1823] local block number 0 - - - - - - - - - - - - - - - - - - [1824] number of local blocks = 1, first local block number = 1824 [1824] local block number 0 - - - - - - - - - - - - - - - - - - [1825] number of local blocks = 1, first local block number = 1825 [1825] local block number 0 - - - - - - - - - - - - - - - - - - [1826] number of local blocks = 1, first local block number = 1826 [1826] local block number 0 - - - - - - - - - - - - - - - - - - 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1, first local block number = 1842 [1842] local block number 0 - - - - - - - - - - - - - - - - - - [1843] number of local blocks = 1, first local block number = 1843 [1843] local block number 0 - - - - - - - - - - - - - - - - - - [1844] number of local blocks = 1, first local block number = 1844 [1844] local block number 0 - - - - - - - - - - - - - - - - - - [1845] number of local blocks = 1, first local block number = 1845 [1845] local block number 0 - - - - - - - - - - - - - - - - - - [1846] number of local blocks = 1, first local block number = 1846 [1846] local block number 0 - - - - - - - - - - - - - - - - - - [1847] number of local blocks = 1, first local block number = 1847 [1847] local block number 0 - - - - - - - - - - - - - - - - - - [1848] number of local blocks = 1, first local block number = 1848 [1848] local block number 0 - - - - - - - - - - - - - - - - - - [1849] number of local blocks = 1, first local block number = 1849 [1849] local block number 0 - - - - - - - - - - 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[1857] local block number 0 - - - - - - - - - - - - - - - - - - [1858] number of local blocks = 1, first local block number = 1858 [1858] local block number 0 - - - - - - - - - - - - - - - - - - [1859] number of local blocks = 1, first local block number = 1859 [1859] local block number 0 - - - - - - - - - - - - - - - - - - [1860] number of local blocks = 1, first local block number = 1860 [1860] local block number 0 - - - - - - - - - - - - - - - - - - [1861] number of local blocks = 1, first local block number = 1861 [1861] local block number 0 - - - - - - - - - - - - - - - - - - [1862] number of local blocks = 1, first local block number = 1862 [1862] local block number 0 - - - - - - - - - - - - - - - - - - [1863] number of local blocks = 1, first local block number = 1863 [1863] local block number 0 - - - - - - - - - - - - - - - - - - [1864] number of local blocks = 1, first local block number = 1864 [1864] local block number 0 - - - - - - - - - - - - - - - - - - [1865] number of local blocks = 1, first local block number = 1865 [1865] local block number 0 - - - - - - - - - - - - - - - - - - [1866] number of local blocks = 1, first local block number = 1866 [1866] local block number 0 - - - - - - - - - - - - - - - - - - [1867] number of local blocks = 1, first local block number = 1867 [1867] local block number 0 - - - - - - - - - - - - - - - - - - [1868] number of local blocks = 1, first local block number = 1868 [1868] local block number 0 - - - - - - - - - - - - - - - - - - [1869] number of local blocks = 1, first local block number = 1869 [1869] local block number 0 - - - - - - - - - - - - - - - - - - [1870] number of local blocks = 1, first local block number = 1870 [1870] local block number 0 - - - - - - - - - - - - - - - - - - [1871] number of local blocks = 1, first local block number = 1871 [1871] local block number 0 - - - - - - - - - - - - - - - - - - [1872] number of local blocks = 1, first local block number = 1872 [1872] local block number 0 - - - 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number = 1880 [1880] local block number 0 - - - - - - - - - - - - - - - - - - [1881] number of local blocks = 1, first local block number = 1881 [1881] local block number 0 - - - - - - - - - - - - - - - - - - [1882] number of local blocks = 1, first local block number = 1882 [1882] local block number 0 - - - - - - - - - - - - - - - - - - [1883] number of local blocks = 1, first local block number = 1883 [1883] local block number 0 - - - - - - - - - - - - - - - - - - [1884] number of local blocks = 1, first local block number = 1884 [1884] local block number 0 - - - - - - - - - - - - - - - - - - [1885] number of local blocks = 1, first local block number = 1885 [1885] local block number 0 - - - - - - - - - - - - - - - - - - [1886] number of local blocks = 1, first local block number = 1886 [1886] local block number 0 - - - - - - - - - - - - - - - - - - [1887] number of local blocks = 1, first local block number = 1887 [1887] local block number 0 - - - - - - - - - - - - - - - - - - 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block number 0 - - - - - - - - - - - - - - - - - - [1896] number of local blocks = 1, first local block number = 1896 [1896] local block number 0 - - - - - - - - - - - - - - - - - - [1897] number of local blocks = 1, first local block number = 1897 [1897] local block number 0 - - - - - - - - - - - - - - - - - - [1898] number of local blocks = 1, first local block number = 1898 [1898] local block number 0 - - - - - - - - - - - - - - - - - - [1899] number of local blocks = 1, first local block number = 1899 [1899] local block number 0 - - - - - - - - - - - - - - - - - - [1900] number of local blocks = 1, first local block number = 1900 [1900] local block number 0 - - - - - - - - - - - - - - - - - - [1901] number of local blocks = 1, first local block number = 1901 [1901] local block number 0 - - - - - - - - - - - - - - - - - - [1902] number of local blocks = 1, first local block number = 1902 [1902] local block number 0 - - - - - - - - - - - - - - - - - - [1903] number of local blocks = 1, first local block number = 1903 [1903] local block number 0 - - - - - - - - - - - - - - - - - - [1904] number of local blocks = 1, first local block number = 1904 [1904] local block number 0 - - - - - - - - - - - - - - - - - - [1905] number of local blocks = 1, first local block number = 1905 [1905] local block number 0 - - - - - - - - - - - - - - - - - - [1906] number of local blocks = 1, first local block number = 1906 [1906] local block number 0 - - - - - - - - - - - - - - - - - - [1907] number of local blocks = 1, first local block number = 1907 [1907] local block number 0 - - - - - - - - - - - - - - - - - - [1908] number of local blocks = 1, first local block number = 1908 [1908] local block number 0 - - - - - - - - - - - - - - - - - - [1909] number of local blocks = 1, first local block number = 1909 [1909] local block number 0 - - - - - - - - - - - - - - - - - - [1910] number of local blocks = 1, first local block number = 1910 [1910] local block number 0 - - - - - - - - - - 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[1918] local block number 0 - - - - - - - - - - - - - - - - - - [1919] number of local blocks = 1, first local block number = 1919 [1919] local block number 0 - - - - - - - - - - - - - - - - - - [1920] number of local blocks = 1, first local block number = 1920 [1920] local block number 0 - - - - - - - - - - - - - - - - - - [1921] number of local blocks = 1, first local block number = 1921 [1921] local block number 0 - - - - - - - - - - - - - - - - - - [1922] number of local blocks = 1, first local block number = 1922 [1922] local block number 0 - - - - - - - - - - - - - - - - - - [1923] number of local blocks = 1, first local block number = 1923 [1923] local block number 0 - - - - - - - - - - - - - - - - - - [1924] number of local blocks = 1, first local block number = 1924 [1924] local block number 0 - - - - - - - - - - - - - - - - - - [1925] number of local blocks = 1, first local block number = 1925 [1925] local block number 0 - - - - - - - - - - - - - - - - - - [1926] number of local blocks = 1, first local block number = 1926 [1926] local block number 0 - - - - - - - - - - - - - - - - - - [1927] number of local blocks = 1, first local block number = 1927 [1927] local block number 0 - - - - - - - - - - - - - - - - - - [1928] number of local blocks = 1, first local block number = 1928 [1928] local block number 0 - - - - - - - - - - - - - - - - - - [1929] number of local blocks = 1, first local block number = 1929 [1929] local block number 0 - - - - - - - - - - - - - - - - - - [1930] number of local blocks = 1, first local block number = 1930 [1930] local block number 0 - - - - - - - - - - - - - - - - - - [1931] number of local blocks = 1, first local block number = 1931 [1931] local block number 0 - - - - - - - - - - - - - - - - - - [1932] number of local blocks = 1, first local block number = 1932 [1932] local block number 0 - - - - - - - - - - - - - - - - - - [1933] number of local blocks = 1, first local block number = 1933 [1933] local block number 0 - - - 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number = 1941 [1941] local block number 0 - - - - - - - - - - - - - - - - - - [1942] number of local blocks = 1, first local block number = 1942 [1942] local block number 0 - - - - - - - - - - - - - - - - - - [1943] number of local blocks = 1, first local block number = 1943 [1943] local block number 0 - - - - - - - - - - - - - - - - - - [1944] number of local blocks = 1, first local block number = 1944 [1944] local block number 0 - - - - - - - - - - - - - - - - - - [1945] number of local blocks = 1, first local block number = 1945 [1945] local block number 0 - - - - - - - - - - - - - - - - - - [1946] number of local blocks = 1, first local block number = 1946 [1946] local block number 0 - - - - - - - - - - - - - - - - - - [1947] number of local blocks = 1, first local block number = 1947 [1947] local block number 0 - - - - - - - - - - - - - - - - - - [1948] number of local blocks = 1, first local block number = 1948 [1948] local block number 0 - - - - - - - - - - - - - - - - - - [1949] number of local blocks = 1, first local block number = 1949 [1949] local block number 0 - - - - - - - - - - - - - - - - - - [1950] number of local blocks = 1, first local block number = 1950 [1950] local block number 0 - - - - - - - - - - - - - - - - - - [1951] number of local blocks = 1, first local block number = 1951 [1951] local block number 0 - - - - - - - - - - - - - - - - - - [1952] number of local blocks = 1, first local block number = 1952 [1952] local block number 0 - - - - - - - - - - - - - - - - - - [1953] number of local blocks = 1, first local block number = 1953 [1953] local block number 0 - - - - - - - - - - - - - - - - - - [1954] number of local blocks = 1, first local block number = 1954 [1954] local block number 0 - - - - - - - - - - - - - - - - - - [1955] number of local blocks = 1, first local block number = 1955 [1955] local block number 0 - - - - - - - - - - - - - - - - - - [1956] number of local blocks = 1, first local block number = 1956 [1956] local block number 0 - - - - - - - - - - - - - - - - - - [1957] number of local blocks = 1, first local block number = 1957 [1957] local block number 0 - - - - - - - - - - - - - - - - - - [1958] number of local blocks = 1, first local block number = 1958 [1958] local block number 0 - - - - - - - - - - - - - - - - - - [1959] number of local blocks = 1, first local block number = 1959 [1959] local block number 0 - - - - - - - - - - - - - - - - - - [1960] number of local blocks = 1, first local block number = 1960 [1960] local block number 0 - - - - - - - - - - - - - - - - - - [1961] number of local blocks = 1, first local block number = 1961 [1961] local block number 0 - - - - - - - - - - - - - - - - - - [1962] number of local blocks = 1, first local block number = 1962 [1962] local block number 0 - - - - - - - - - - - - - - - - - - [1963] number of local blocks = 1, first local block number = 1963 [1963] local block number 0 - - - - - - - - - - - - - - - - - - [1964] number of local blocks = 1, first local block number = 1964 [1964] local block number 0 - - - - - - - - - - - - - - - - - - [1965] number of local blocks = 1, first local block number = 1965 [1965] local block number 0 - - - - - - - - - - - - - - - - - - [1966] number of local blocks = 1, first local block number = 1966 [1966] local block number 0 - - - - - - - - - - - - - - - - - - [1967] number of local blocks = 1, first local block number = 1967 [1967] local block number 0 - - - - - - - - - - - - - - - - - - [1968] number of local blocks = 1, first local block number = 1968 [1968] local block number 0 - - - - - - - - - - - - - - - - - - [1969] number of local blocks = 1, first local block number = 1969 [1969] local block number 0 - - - - - - - - - - - - - - - - - - [1970] number of local blocks = 1, first local block number = 1970 [1970] local block number 0 - - - - - - - - - - - - - - - - - - [1971] number of local blocks = 1, first local block number = 1971 [1971] local block number 0 - - - - - - - - - - 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[1979] local block number 0 - - - - - - - - - - - - - - - - - - [1980] number of local blocks = 1, first local block number = 1980 [1980] local block number 0 - - - - - - - - - - - - - - - - - - [1981] number of local blocks = 1, first local block number = 1981 [1981] local block number 0 - - - - - - - - - - - - - - - - - - [1982] number of local blocks = 1, first local block number = 1982 [1982] local block number 0 - - - - - - - - - - - - - - - - - - [1983] number of local blocks = 1, first local block number = 1983 [1983] local block number 0 - - - - - - - - - - - - - - - - - - [1984] number of local blocks = 1, first local block number = 1984 [1984] local block number 0 - - - - - - - - - - - - - - - - - - [1985] number of local blocks = 1, first local block number = 1985 [1985] local block number 0 - - - - - - - - - - - - - - - - - - [1986] number of local blocks = 1, first local block number = 1986 [1986] local block number 0 - - - - - - - - - - - - - - - - - - [1987] number of local blocks = 1, first local block number = 1987 [1987] local block number 0 - - - - - - - - - - - - - - - - - - [1988] number of local blocks = 1, first local block number = 1988 [1988] local block number 0 - - - - - - - - - - - - - - - - - - [1989] number of local blocks = 1, first local block number = 1989 [1989] local block number 0 - - - - - - - - - - - - - - - - - - [1990] number of local blocks = 1, first local block number = 1990 [1990] local block number 0 - - - - - - - - - - - - - - - - - - [1991] number of local blocks = 1, first local block number = 1991 [1991] local block number 0 - - - - - - - - - - - - - - - - - - [1992] number of local blocks = 1, first local block number = 1992 [1992] local block number 0 - - - - - - - - - - - - - - - - - - [1993] number of local blocks = 1, first local block number = 1993 [1993] local block number 0 - - - - - - - - - - - - - - - - - - [1994] number of local blocks = 1, first local block number = 1994 [1994] local block number 0 - - - - - - - - - - - - - - - - - - [1995] number of local blocks = 1, first local block number = 1995 [1995] local block number 0 - - - - - - - - - - - - - - - - - - [1996] number of local blocks = 1, first local block number = 1996 [1996] local block number 0 - - - - - - - - - - - - - - - - - - [1997] number of local blocks = 1, first local block number = 1997 [1997] local block number 0 - - - - - - - - - - - - - - - - - - [1998] number of local blocks = 1, first local block number = 1998 [1998] local block number 0 - - - - - - - - - - - - - - - - - - [1999] number of local blocks = 1, first local block number = 1999 [1999] local block number 0 - - - - - - - - - - - - - - - - - - [2000] number of local blocks = 1, first local block number = 2000 [2000] local block number 0 - - - - - - - - - - - - - - - - - - [2001] number of local blocks = 1, first local block number = 2001 [2001] local block number 0 - - - - - - - - - - - - - - - - - - [2002] number of local blocks = 1, first local block number = 2002 [2002] local block number 0 - - - - - - - - - - - - - - - - - - [2003] number of local blocks = 1, first local block number = 2003 [2003] local block number 0 - - - - - - - - - - - - - - - - - - [2004] number of local blocks = 1, first local block number = 2004 [2004] local block number 0 - - - - - - - - - - - - - - - - - - [2005] number of local blocks = 1, first local block number = 2005 [2005] local block number 0 - - - - - - - - - - - - - - - - - - [2006] number of local blocks = 1, first local block number = 2006 [2006] local block number 0 - - - - - - - - - - - - - - - - - - [2007] number of local blocks = 1, first local block number = 2007 [2007] local block number 0 - - - - - - - - - - - - - - - - - - [2008] number of local blocks = 1, first local block number = 2008 [2008] local block number 0 - - - - - - - - - - - - - - - - - - [2009] number of local blocks = 1, first local block number = 2009 [2009] local block number 0 - - - - - - - - - - - - - - - - - - [2010] number of local blocks = 1, first local block number = 2010 [2010] local block number 0 - - - - - - - - - - - - - - - - - - [2011] number of local blocks = 1, first local block number = 2011 [2011] local block number 0 - - - - - - - - - - - - - - - - - - [2012] number of local blocks = 1, first local block number = 2012 [2012] local block number 0 - - - - - - - - - - - - - - - - - - [2013] number of local blocks = 1, first local block number = 2013 [2013] local block number 0 - - - - - - - - - - - - - - - - - - [2014] number of local blocks = 1, first local block number = 2014 [2014] local block number 0 - - - - - - - - - - - - - - - - - - [2015] number of local blocks = 1, first local block number = 2015 [2015] local block number 0 - - - - - - - - - - - - - - - - - - [2016] number of local blocks = 1, first local block number = 2016 [2016] local block number 0 - - - - - - - - - - - - - - - - - - [2017] number of local blocks = 1, first local block number = 2017 [2017] local block number 0 - - - - - - - - - - - - - - - - - - [2018] number of local blocks = 1, first local block number = 2018 [2018] local block number 0 - - - - - - - - - - - - - - - - - - [2019] number of local blocks = 1, first local block number = 2019 [2019] local block number 0 - - - - - - - - - - - - - - - - - - [2020] number of local blocks = 1, first local block number = 2020 [2020] local block number 0 - - - - - - - - - - - - - - - - - - [2021] number of local blocks = 1, first local block number = 2021 [2021] local block number 0 - - - - - - - - - - - - - - - - - - [2022] number of local blocks = 1, first local block number = 2022 [2022] local block number 0 - - - - - - - - - - - - - - - - - - [2023] number of local blocks = 1, first local block number = 2023 [2023] local block number 0 - - - - - - - - - - - - - - - - - - [2024] number of local blocks = 1, first local block number = 2024 [2024] local block number 0 - - - - - - - - - - - - - - - - - - [2025] number of local blocks = 1, first local block number = 2025 [2025] local block number 0 - - - - - - - - - - - - - - - - - - [2026] number of local blocks = 1, first local block number = 2026 [2026] local block number 0 - - - - - - - - - - - - - - - - - - [2027] number of local blocks = 1, first local block number = 2027 [2027] local block number 0 - - - - - - - - - - - - - - - - - - [2028] number of local blocks = 1, first local block number = 2028 [2028] local block number 0 - - - - - - - - - - - - - - - - - - [2029] number of local blocks = 1, first local block number = 2029 [2029] local block number 0 - - - - - - - - - - - - - - - - - - [2030] number of local blocks = 1, first local block number = 2030 [2030] local block number 0 - - - - - - - - - - - - - - - - - - [2031] number of local blocks = 1, first local block number = 2031 [2031] local block number 0 - - - - - - - - - - - - - - - - - - [2032] number of local blocks = 1, first local block number = 2032 [2032] local block number 0 - - - - - - - - - - - - - - - - - - [2033] number of local blocks = 1, first local block number = 2033 [2033] local block number 0 - - - - - - - - - - - - - - - - - - [2034] number of local blocks = 1, first local block number = 2034 [2034] local block number 0 - - - - - - - - - - - - - - - - - - [2035] number of local blocks = 1, first local block number = 2035 [2035] local block number 0 - - - - - - - - - - - - - - - - - - [2036] number of local blocks = 1, first local block number = 2036 [2036] local block number 0 - - - - - - - - - - - - - - - - - - [2037] number of local blocks = 1, first local block number = 2037 [2037] local block number 0 - - - - - - - - - - - - - - - - - - [2038] number of local blocks = 1, first local block number = 2038 [2038] local block number 0 - - - - - - - - - - - - - - - - - - [2039] number of local blocks = 1, first local block number = 2039 [2039] local block number 0 - - - - - - - - - - - - - - - - - - [2040] number of local blocks = 1, first local block number = 2040 [2040] local block number 0 - - - - - - - - - - - - - - - - - - [2041] number of local blocks = 1, first local block number = 2041 [2041] local block number 0 - - - - - - - - - - - - - - - - - - [2042] number of local blocks = 1, first local block number = 2042 [2042] local block number 0 - - - - - - - - - - - - - - - - - - [2043] number of local blocks = 1, first local block number = 2043 [2043] local block number 0 - - - - - - - - - - - - - - - - - - [2044] number of local blocks = 1, first local block number = 2044 [2044] local block number 0 - - - - - - - - - - - - - - - - - - [2045] number of local blocks = 1, first local block number = 2045 [2045] local block number 0 - - - - - - - - - - - - - - - - - - [2046] number of local blocks = 1, first local block number = 2046 [2046] local block number 0 - - - - - - - - - - - - - - - - - - [2047] number of local blocks = 1, first local block number = 2047 [2047] local block number 0 - - - - - - - - - - - - - - - - - - linear system matrix = precond matrix: Matrix Object: 2048 MPI processes type: mpiaij rows=108, cols=108 total: nonzeros=4102, allocated nonzeros=4102 total number of mallocs used during MatSetValues calls =0 not using I-node (on process 0) routines Down solver (pre-smoother) on level 1 ------------------------------- KSP Object: (mg_levels_1_) 2048 MPI processes type: chebyshev Chebyshev: eigenvalue estimates: min = 0.0746504, max = 1.56766 maximum iterations=2 tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using nonzero initial guess using NONE norm type for convergence test PC Object: (mg_levels_1_) 2048 MPI processes type: jacobi linear system matrix = precond matrix: Matrix Object: 2048 MPI processes type: mpiaij rows=9992, cols=9992 total: nonzeros=609180, allocated nonzeros=609180 total number of mallocs used during MatSetValues calls =0 not using I-node (on process 0) routines Up solver (post-smoother) same as down solver (pre-smoother) Down solver (pre-smoother) on level 2 ------------------------------- KSP Object: (mg_levels_2_) 2048 MPI processes type: chebyshev Chebyshev: eigenvalue estimates: min = 0.0969561, max = 2.03608 maximum iterations=2 tolerances: relative=1e-05, absolute=1e-50, divergence=10000 left preconditioning using nonzero initial guess using NONE norm type for convergence test PC Object: (mg_levels_2_) 2048 MPI processes type: jacobi linear system matrix = precond matrix: Matrix Object: 2048 MPI processes type: mpiaij rows=531441, cols=531441 total: nonzeros=12013842, allocated nonzeros=12013842 total number of mallocs used during MatSetValues calls =0 not using I-node (on process 0) routines Up solver (post-smoother) same as down solver (pre-smoother) linear system matrix = precond matrix: Matrix Object: 2048 MPI processes type: mpiaij rows=531441, cols=531441 total: nonzeros=12013842, allocated nonzeros=12013842 total number of mallocs used during MatSetValues calls =0 not using I-node (on process 0) routines --- system solved with PETSc (in 9.097697e+01) --- PETSc error = 7.287606e-03 / 1.955848e-03 ************************************************************************************************************************ *** WIDEN YOUR WINDOW TO 120 CHARACTERS. Use 'enscript -r -fCourier9' to print this document *** ************************************************************************************************************************ ---------------------------------------------- PETSc Performance Summary: ---------------------------------------------- /ccc/scratch/cont003/gen6654/jolivetp/Cive/ff++/src/mpi/FreeFem++-mpi-PETSc on a arch-linux2-c-opt named curie2958 with 2048 processors, by jolivetp Tue Oct 8 23:30:01 2013 Using Petsc Release Version 3.4.2, Jul, 02, 2013 Max Max/Min Avg Total Time (sec): 1.067e+02 1.00077 1.066e+02 Objects: 3.260e+02 1.00000 3.260e+02 Flops: 8.290e+07 78.24438 2.442e+07 5.002e+10 Flops/sec: 7.774e+05 78.23162 2.291e+05 4.692e+08 MPI Messages: 1.334e+05 21.17719 2.662e+04 5.451e+07 MPI Message Lengths: 4.435e+07 35.22676 2.217e+02 1.208e+10 MPI Reductions: 1.108e+03 1.00000 Flop counting convention: 1 flop = 1 real number operation of type (multiply/divide/add/subtract) e.g., VecAXPY() for real vectors of length N --> 2N flops and VecAXPY() for complex vectors of length N --> 8N flops Summary of Stages: ----- Time ------ ----- Flops ----- --- Messages --- -- Message Lengths -- -- Reductions -- Avg %Total Avg %Total counts %Total Avg %Total counts %Total 0: Main Stage: 7.4817e+01 70.2% 1.3344e+10 26.7% 8.533e+06 15.7% 5.478e+01 24.7% 1.098e+03 99.1% 1: MG Apply: 3.1791e+01 29.8% 3.6673e+10 73.3% 4.598e+07 84.3% 1.669e+02 75.3% 9.000e+00 0.8% ------------------------------------------------------------------------------------------------------------------------ See the 'Profiling' chapter of the users' manual for details on interpreting output. Phase summary info: Count: number of times phase was executed Time and Flops: Max - maximum over all processors Ratio - ratio of maximum to minimum over all processors Mess: number of messages sent Avg. len: average message length (bytes) Reduct: number of global reductions Global: entire computation Stage: stages of a computation. Set stages with PetscLogStagePush() and PetscLogStagePop(). %T - percent time in this phase %f - percent flops in this phase %M - percent messages in this phase %L - percent message lengths in this phase %R - percent reductions in this phase Total Mflop/s: 10e-6 * (sum of flops over all processors)/(max time over all processors) ------------------------------------------------------------------------------------------------------------------------ Event Count Time (sec) Flops --- Global --- --- Stage --- Total Max Ratio Max Ratio Max Ratio Mess Avg len Reduct %T %f %M %L %R %T %f %M %L %R Mflop/s ------------------------------------------------------------------------------------------------------------------------ --- Event Stage 0: Main Stage MatMult 227 1.0 3.0288e+00 7.9 7.93e+0664.1 6.1e+06 2.4e+02 0.0e+00 2 10 11 12 0 2 38 72 48 0 1687 MatConvert 2 1.0 7.7290e-0232.7 0.00e+00 0.0 0.0e+00 0.0e+00 2.0e+00 0 0 0 0 0 0 0 0 0 0 0 MatScale 6 1.0 3.5172e-02 1.4 5.10e+0479.0 3.3e+04 2.2e+02 0.0e+00 0 0 0 0 0 0 0 0 0 0 852 MatAssemblyBegin 37 1.0 1.9485e+0015.8 0.00e+00 0.0 4.7e+04 9.8e+01 3.8e+01 1 0 0 0 3 2 0 1 0 3 0 MatAssemblyEnd 37 1.0 2.9709e+00 2.5 0.00e+00 0.0 5.3e+05 4.1e+01 1.2e+02 2 0 1 0 11 3 0 6 1 11 0 MatGetRow 2604108.5 4.0657e-02 1.6 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00 0 0 0 0 0 0 0 0 0 0 0 MatCoarsen 2 1.0 2.2423e+00 1.0 0.00e+00 0.0 9.2e+05 3.9e+02 1.5e+02 2 0 2 3 14 3 0 11 12 14 0 MatView 6 1.0 3.4042e+01269.1 0.00e+00 0.0 0.0e+00 0.0e+00 4.0e+00 18 0 0 0 0 25 0 0 0 0 0 MatAXPY 2 1.0 1.9039e-02 1.6 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00 0 0 0 0 0 0 0 0 0 0 0 MatMatMult 2 1.0 2.3970e+00 6.7 4.31e+0474.6 1.9e+05 1.1e+02 4.8e+01 2 0 0 0 4 2 0 2 1 4 11 MatMatMultSym 2 1.0 2.3126e+0016.4 0.00e+00 0.0 1.6e+05 9.1e+01 4.4e+01 1 0 0 0 4 2 0 2 0 4 0 MatMatMultNum 2 1.0 2.0805e-01 4.3 4.31e+0474.6 3.3e+04 2.2e+02 4.0e+00 0 0 0 0 0 0 0 0 0 0 121 MatPtAP 2 1.0 1.5102e+00 1.3 3.22e+0561.3 3.9e+05 2.0e+02 5.0e+01 1 0 1 1 5 2 1 5 3 5 127 MatPtAPSymbolic 2 1.0 2.1285e-01 1.1 0.00e+00 0.0 1.9e+05 3.2e+02 3.0e+01 0 0 0 1 3 0 0 2 2 3 0 MatPtAPNumeric 2 1.0 1.3106e+00 1.4 3.22e+0561.3 2.0e+05 7.5e+01 2.0e+01 1 0 0 0 2 2 1 2 1 2 146 MatTrnMatMult 2 1.0 6.9008e-01 1.0 1.67e+0655.8 2.4e+05 3.5e+03 5.8e+01 1 2 0 7 5 1 7 3 29 5 1301 MatGetLocalMat 10 1.0 1.5166e-0312.4 0.00e+00 0.0 0.0e+00 0.0e+00 1.2e+01 0 0 0 0 1 0 0 0 0 1 0 MatGetBrAoCol 6 1.0 2.2115e+00824.7 0.00e+00 0.0 2.3e+05 3.3e+02 8.0e+00 1 0 0 1 1 1 0 3 3 1 0 MatGetSymTrans 4 1.0 7.2734e-03554.7 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00 0 0 0 0 0 0 0 0 0 0 0 VecDot 1 1.0 5.8413e-04 6.6 1.62e+03107.8 0.0e+00 0.0e+00 1.0e+00 0 0 0 0 0 0 0 0 0 0 1816 VecMDot 220 1.0 8.3341e+00 2.9 4.95e+06107.9 0.0e+00 0.0e+00 2.2e+02 6 6 0 0 20 9 24 0 0 20 389 VecNorm 232 1.0 5.0364e+00 1.1 3.59e+05101.5 0.0e+00 0.0e+00 2.3e+02 4 0 0 0 21 6 2 0 0 21 47 VecScale 230 1.0 2.3329e-0313.5 1.78e+05101.5 0.0e+00 0.0e+00 0.0e+00 0 0 0 0 0 0 1 0 0 0 49935 VecCopy 9 1.0 2.8133e-0514.8 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00 0 0 0 0 0 0 0 0 0 0 0 VecSet 47 1.0 1.4226e-0330.1 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00 0 0 0 0 0 0 0 0 0 0 0 VecAXPY 16 1.0 4.2632e-03266.9 2.44e+04101.6 0.0e+00 0.0e+00 0.0e+00 0 0 0 0 0 0 0 0 0 0 3744 VecMAXPY 229 1.0 2.5654e-02110.7 5.29e+06101.3 0.0e+00 0.0e+00 0.0e+00 0 7 0 0 0 0 26 0 0 0 135326 VecAssemblyBegin 54 1.0 2.2276e+00 1.1 0.00e+00 0.0 0.0e+00 0.0e+00 1.6e+02 2 0 0 0 14 3 0 0 0 14 0 VecAssemblyEnd 54 1.0 7.9155e-05 2.4 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00 0 0 0 0 0 0 0 0 0 0 0 VecPointwiseMult 22 1.0 2.2411e-05 0.0 9.55e+03 0.0 0.0e+00 0.0e+00 0.0e+00 0 0 0 0 0 0 0 0 0 0 265748 VecScatterBegin 283 1.0 3.2461e-0238.9 0.00e+00 0.0 7.4e+06 2.6e+02 0.0e+00 0 0 14 16 0 0 0 87 65 0 0 VecScatterEnd 283 1.0 3.2550e+00 6.5 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00 2 0 0 0 0 3 0 0 0 0 0 VecSetRandom 2 1.0 1.6212e-05 5.7 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00 0 0 0 0 0 0 0 0 0 0 0 VecNormalize 230 1.0 4.9703e+00 1.1 5.33e+05101.5 0.0e+00 0.0e+00 2.3e+02 4 1 0 0 21 6 3 0 0 21 70 KSPGMRESOrthog 220 1.0 8.3350e+00 2.9 9.90e+06104.5 0.0e+00 0.0e+00 2.2e+02 6 13 0 0 20 9 49 0 0 20 779 KSPSetUp 6 1.0 2.1288e-03 2.2 0.00e+00 0.0 0.0e+00 0.0e+00 6.0e+00 0 0 0 0 1 0 0 0 0 1 0 KSPSolve 1 1.0 5.6919e+01 1.0 8.29e+0778.3 5.4e+07 2.2e+02 1.1e+03 53100100100 97 76375638403 98 878 PCSetUp 1 1.0 1.2648e+01 1.0 2.75e+0662.2 2.7e+06 5.8e+02 6.6e+02 12 3 5 13 59 17 12 31 52 60 122 PCApply 207 1.0 3.5016e+01 1.2 6.22e+0778.2 4.6e+07 2.0e+02 9.0e+00 30 73 84 75 1 42275539305 1 1047 PCGAMGgraph_AGG 2 1.0 5.8913e-01 5.1 4.31e+0474.6 9.9e+04 1.1e+02 3.8e+01 0 0 0 0 3 0 0 1 0 3 43 PCGAMGcoarse_AGG 2 1.0 3.5120e+00 1.0 1.67e+0655.8 1.4e+06 9.3e+02 2.5e+02 3 2 3 11 23 5 7 17 44 23 256 PCGAMGProl_AGG 2 1.0 1.9222e+00 1.0 0.00e+00 0.0 1.9e+05 2.8e+02 5.6e+01 2 0 0 0 5 3 0 2 2 5 0 PCGAMGPOpt_AGG 2 1.0 3.3032e+00 1.0 7.22e+0584.1 5.3e+05 1.8e+02 1.1e+02 3 1 1 1 10 4 3 6 3 10 131 MGSetup Level 0 1 1.0 3.1710e-04 1.5 0.00e+00 0.0 0.0e+00 0.0e+00 2.0e+00 0 0 0 0 0 0 0 0 0 0 0 MGSetup Level 1 1 1.0 4.6086e-04 2.3 0.00e+00 0.0 0.0e+00 0.0e+00 2.0e+00 0 0 0 0 0 0 0 0 0 0 0 MGSetup Level 2 1 1.0 3.2592e-04 1.6 0.00e+00 0.0 0.0e+00 0.0e+00 2.0e+00 0 0 0 0 0 0 0 0 0 0 0 --- Event Stage 1: MG Apply MatMult 2484 1.0 1.0320e+01 8.1 5.25e+0774.2 4.1e+07 2.2e+02 0.0e+00 4 61 75 73 0 13 84 89 97 0 2973 MatMultAdd 414 1.0 2.9157e+0158.4 1.64e+06116.4 2.4e+06 4.9e+01 0.0e+00 26 2 4 1 0 86 3 5 1 0 33 MatMultTranspose 414 1.0 2.1224e+0123402.0 1.64e+06116.4 2.4e+06 4.9e+01 0.0e+00 0 2 4 1 0 1 3 5 1 0 46 MatSolve 207 0.0 3.7143e-03 0.0 3.24e+06 0.0 0.0e+00 0.0e+00 0.0e+00 0 0 0 0 0 0 0 0 0 0 872 MatLUFactorSym 1 1.0 1.1401e-0332.5 0.00e+00 0.0 0.0e+00 0.0e+00 3.0e+00 0 0 0 0 0 0 0 0 0 33 0 MatLUFactorNum 1 1.0 1.7209e-0350.5 3.47e+05 0.0 0.0e+00 0.0e+00 0.0e+00 0 0 0 0 0 0 0 0 0 0 202 MatGetRowIJ 1 0.0 3.8862e-05 0.0 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00 0 0 0 0 0 0 0 0 0 0 0 MatGetOrdering 1 0.0 1.4305e-04 0.0 0.00e+00 0.0 0.0e+00 0.0e+00 9.8e-04 0 0 0 0 0 0 0 0 0 0 0 VecScale 1656 1.0 6.5303e-0314.2 7.19e+05108.5 0.0e+00 0.0e+00 0.0e+00 0 1 0 0 0 0 1 0 0 0 68650 VecCopy 414 1.0 2.2886e-0323.2 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00 0 0 0 0 0 0 0 0 0 0 0 VecSet 1865 1.0 1.4928e-0249.0 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00 0 0 0 0 0 0 0 0 0 0 0 VecAXPY 3312 1.0 1.3461e-0218.1 2.87e+06108.5 0.0e+00 0.0e+00 0.0e+00 0 4 0 0 0 0 5 0 0 0 133215 VecAYPX 3312 1.0 6.8753e-0317.6 1.80e+06108.5 0.0e+00 0.0e+00 0.0e+00 0 2 0 0 0 0 3 0 0 0 163014 VecPointwiseMult 2484 1.0 4.2157e-0313.4 1.08e+06108.5 0.0e+00 0.0e+00 0.0e+00 0 1 0 0 0 0 2 0 0 0 159513 VecScatterBegin 3312 1.0 8.0645e-0225.7 0.00e+00 0.0 4.6e+07 2.0e+02 0.0e+00 0 0 84 75 0 0 0100100 0 0 VecScatterEnd 3312 1.0 3.4828e+01 1.2 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00 30 0 0 0 0 99 0 0 0 0 0 KSPSetUp 2 1.0 1.0014e-05 0.0 0.00e+00 0.0 0.0e+00 0.0e+00 0.0e+00 0 0 0 0 0 0 0 0 0 0 0 KSPSolve 1035 1.0 8.8388e+00 7.6 5.00e+0777.2 3.4e+07 2.2e+02 9.0e+00 3 59 63 61 1 11 80 75 81100 3337 PCSetUp 1 1.0 2.6109e-0312.7 3.47e+05 0.0 0.0e+00 0.0e+00 5.0e+00 0 0 0 0 0 0 0 0 0 56 133 PCSetUpOnBlocks 207 1.0 2.8518e-0226.9 3.47e+05 0.0 0.0e+00 0.0e+00 5.0e+00 0 0 0 0 0 0 0 0 0 56 12 PCApply 2691 1.0 1.1814e-0126.4 4.18e+06420.2 0.0e+00 0.0e+00 4.0e+00 0 1 0 0 0 0 2 0 0 44 5720 MGSmooth Level 0 207 1.0 3.4140e-02 8.1 3.59e+06 0.0 0.0e+00 0.0e+00 5.0e+00 0 0 0 0 0 0 0 0 0 56 105 MGSmooth Level 1 414 1.0 6.2836e+0067.8 9.45e+06 0.0 5.4e+06 9.9e+01 2.0e+00 1 3 10 4 0 2 4 12 6 22 211 MGResid Level 1 207 1.0 3.1824e+0016540.3 1.78e+06 0.0 1.1e+06 9.9e+01 0.0e+00 0 1 2 1 0 1 1 2 1 0 79 MGInterp Level 1 414 1.0 2.5687e+0153099.7 3.53e+05 0.0 1.1e+05 8.5e+01 0.0e+00 3 0 0 0 0 9 0 0 0 0 2 MGSmooth Level 2 414 1.0 8.1140e+00 7.6 4.35e+0767.2 2.9e+07 2.4e+02 2.0e+00 3 56 53 57 0 9 77 63 75 22 3472 MGResid Level 2 207 1.0 1.8343e+0022.8 7.73e+0664.6 5.8e+06 2.4e+02 0.0e+00 0 10 11 11 0 2 14 13 15 0 2711 MGInterp Level 2 414 1.0 2.9158e+0157.9 3.05e+06108.4 4.7e+06 4.8e+01 0.0e+00 23 4 9 2 0 78 5 10 3 0 66 ------------------------------------------------------------------------------------------------------------------------ Memory usage is given in bytes: Object Type Creations Destructions Memory Descendants' Mem. Reports information only for process 0. --- Event Stage 0: Main Stage Matrix 69 70 3626732 0 Matrix Coarsen 2 2 1272 0 Vector 158 157 815248 0 Vector Scatter 19 19 20444 0 Index Set 52 55 65808 0 Krylov Solver 8 8 102032 0 Preconditioner 8 8 7940 0 Viewer 2 1 736 0 PetscRandom 2 2 1264 0 --- Event Stage 1: MG Apply Matrix 1 0 0 0 Vector 2 0 0 0 Index Set 3 0 0 0 ======================================================================================================================== Average time to get PetscTime(): 1.19209e-07 Average time for MPI_Barrier(): 8.7595e-05 Average time for zero size MPI_Send(): 3.01318e-06 #PETSc Option Table entries: -eps 1e-8 -iter 200 -ksp_monitor -ksp_view -log_summary -pc_mg_log -pc_type gamg #End of PETSc Option Table entries