Order of the PETSc matrix : 621 (~ 621 unknowns per PETSc process ) New stencil. Order of the PETSc matrix : 621 (~ 621 unknowns per PETSc process ) New stencil.
KSP Object: () 1 MPI processes | KSP Object: () 1 MPI process
type: cg type: cg
maximum iterations=10000, nonzero initial guess maximum iterations=10000, nonzero initial guess
tolerances: relative=0., absolute=1e-12, divergence=10000. tolerances: relative=0., absolute=1e-12, divergence=10000.
left preconditioning left preconditioning
using UNPRECONDITIONED norm type for convergence test using UNPRECONDITIONED norm type for convergence test
PC Object: () 1 MPI processes | PC Object: () 1 MPI process
type: gamg type: gamg
type is MULTIPLICATIVE, levels=3 cycles=v type is MULTIPLICATIVE, levels=3 cycles=v
Cycles per PCApply=1 Cycles per PCApply=1
Using externally compute Galerkin coarse grid matrices Using externally compute Galerkin coarse grid matrices
GAMG specific options GAMG specific options
Threshold for dropping small values in graph on each level = 0. | Threshold for dropping small values in graph on each level = 0. 0. 0.
Threshold scaling factor for each level not specified = 1. Threshold scaling factor for each level not specified = 1.
Complexity: grid = 2.20325 | Complexity: grid = 1.34138 operator = 2.33594
Coarse grid solver -- level ------------------------------- | Coarse grid solver -- level 0 -------------------------------
KSP Object: (mg_coarse_) 1 MPI processes | KSP Object: (mg_coarse_) 1 MPI process
type: preonly type: preonly
maximum iterations=10000, initial guess is zero maximum iterations=10000, initial guess is zero
tolerances: relative=1e-05, absolute=1e-50, divergence=10000. tolerances: relative=1e-05, absolute=1e-50, divergence=10000.
left preconditioning left preconditioning
using NONE norm type for convergence test using NONE norm type for convergence test
PC Object: (mg_coarse_) 1 MPI processes | PC Object: (mg_coarse_) 1 MPI process
type: bjacobi type: bjacobi
number of blocks = 1 number of blocks = 1
Local solver is the same for all blocks, as in the following KSP and PC objects on rank | Local solver information for first block is in the following KSP and PC objects on rank
KSP Object: (mg_coarse_sub_) 1 MPI processes | Use -mg_coarse_ksp_view ::ascii_info_detail to display information for all blocks
type: preonly | KSP Object: (mg_coarse_sub_) 1 MPI process
maximum iterations=1, initial guess is zero | type: preonly
tolerances: relative=1e-05, absolute=1e-50, divergence=10000. | maximum iterations=1, initial guess is zero
left preconditioning | tolerances: relative=1e-05, absolute=1e-50, divergence=10000.
using DEFAULT norm type for convergence test | left preconditioning
PC Object: (mg_coarse_sub_) 1 MPI processes | using DEFAULT norm type for convergence test
type: lu | PC Object: (mg_coarse_sub_) 1 MPI process
PC has not been set up so information may be incomplete | type: lu
out-of-place factorization | PC has not been set up so information may be incomplete
tolerance for zero pivot 2.22045e-14 | out-of-place factorization
using diagonal shift on blocks to prevent zero pivot [INBLOCKS] | tolerance for zero pivot 2.22045e-14
matrix ordering: nd (may be overridden during setup) | using diagonal shift on blocks to prevent zero pivot [INBLOCKS]
linear system matrix = precond matrix: | linear system matrix = precond matrix:
Mat Object: 1 MPI processes | Mat Object: (mg_coarse_sub_) 1 MPI process
type: seqaij | type: seqaij
rows=41, cols=41 | rows=30, cols=30
total: nonzeros=1373, allocated nonzeros=1373 | total: nonzeros=780, allocated nonzeros=780
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: linear system matrix = precond matrix:
Mat Object: 1 MPI processes | Mat Object: (mg_coarse_sub_) 1 MPI process
type: seqaij type: seqaij
rows=41, cols=41 | rows=30, cols=30
total: nonzeros=1373, allocated nonzeros=1373 | total: nonzeros=780, allocated nonzeros=780
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
Down solver (pre-smoother) on level 1 ------------------------------- Down solver (pre-smoother) on level 1 -------------------------------
KSP Object: (mg_levels_1_) 1 MPI processes | KSP Object: (mg_levels_1_) 1 MPI process
type: chebyshev type: chebyshev
eigenvalue estimates used: min = 0.0996528, max = 1.09618 | Chebyshev polynomial of first kind
eigenvalues estimate via gmres min 0.00906746, max 0.996528 | eigenvalue targets used: min 0.0999712, max 1.09968
eigenvalues estimated using gmres with translations [0. 0.1; 0. 1.1] | eigenvalues estimated via gmres: min 0.0187175, max 0.999712
KSP Object: (mg_levels_1_esteig_) 1 MPI processes | eigenvalues estimated using gmres with transform: [0. 0.1; 0. 1.1]
> KSP Object: (mg_levels_1_esteig_) 1 MPI process
type: gmres type: gmres
restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iter restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iter
happy breakdown tolerance 1e-30 happy breakdown tolerance 1e-30
maximum iterations=10, initial guess is zero maximum iterations=10, initial guess is zero
tolerances: relative=1e-12, absolute=1e-50, divergence=10000. tolerances: relative=1e-12, absolute=1e-50, divergence=10000.
left preconditioning left preconditioning
using PRECONDITIONED norm type for convergence test using PRECONDITIONED norm type for convergence test
estimating eigenvalues using noisy right hand side estimating eigenvalues using noisy right hand side
maximum iterations=2, nonzero initial guess maximum iterations=2, nonzero initial guess
tolerances: relative=1e-05, absolute=1e-50, divergence=10000. tolerances: relative=1e-05, absolute=1e-50, divergence=10000.
left preconditioning left preconditioning
using NONE norm type for convergence test using NONE norm type for convergence test
PC Object: (mg_levels_1_) 1 MPI processes | PC Object: (mg_levels_1_) 1 MPI process
type: sor type: sor
type = local_symmetric, iterations = 1, local iterations = 1, omega = 1. type = local_symmetric, iterations = 1, local iterations = 1, omega = 1.
linear system matrix = precond matrix: linear system matrix = precond matrix:
Mat Object: 1 MPI processes | Mat Object: 1 MPI process
type: seqaij type: seqaij
rows=182, cols=182 rows=182, cols=182
total: nonzeros=4476, allocated nonzeros=4476 | total: nonzeros=5714, allocated nonzeros=5714
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
Up solver (post-smoother) same as down solver (pre-smoother) Up solver (post-smoother) same as down solver (pre-smoother)
Down solver (pre-smoother) on level 2 ------------------------------- Down solver (pre-smoother) on level 2 -------------------------------
KSP Object: (mg_levels_2_) 1 MPI processes | KSP Object: (mg_levels_2_) 1 MPI process
type: chebyshev type: chebyshev
eigenvalue estimates used: min = 0.0997973, max = 1.09777 | Chebyshev polynomial of first kind
eigenvalues estimate via gmres min 0.0015894, max 0.997973 | eigenvalue targets used: min 0.0997973, max 1.09777
eigenvalues estimated using gmres with translations [0. 0.1; 0. 1.1] | eigenvalues estimated via gmres: min 0.0015894, max 0.997973
KSP Object: (mg_levels_2_esteig_) 1 MPI processes | eigenvalues estimated using gmres with transform: [0. 0.1; 0. 1.1]
> KSP Object: (mg_levels_2_esteig_) 1 MPI process
type: gmres type: gmres
restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iter restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iter
happy breakdown tolerance 1e-30 happy breakdown tolerance 1e-30
maximum iterations=10, initial guess is zero maximum iterations=10, initial guess is zero
tolerances: relative=1e-12, absolute=1e-50, divergence=10000. tolerances: relative=1e-12, absolute=1e-50, divergence=10000.
left preconditioning left preconditioning
using PRECONDITIONED norm type for convergence test using PRECONDITIONED norm type for convergence test
estimating eigenvalues using noisy right hand side estimating eigenvalues using noisy right hand side
maximum iterations=2, nonzero initial guess maximum iterations=2, nonzero initial guess
tolerances: relative=1e-05, absolute=1e-50, divergence=10000. tolerances: relative=1e-05, absolute=1e-50, divergence=10000.
left preconditioning left preconditioning
using NONE norm type for convergence test using NONE norm type for convergence test
PC Object: (mg_levels_2_) 1 MPI processes | PC Object: (mg_levels_2_) 1 MPI process
type: sor type: sor
type = local_symmetric, iterations = 1, local iterations = 1, omega = 1. type = local_symmetric, iterations = 1, local iterations = 1, omega = 1.
linear system matrix followed by preconditioner matrix: linear system matrix followed by preconditioner matrix:
Mat Object: () 1 MPI processes | Mat Object: () 1 MPI process
type: seqsbaij type: seqsbaij
rows=621, cols=621 rows=621, cols=621
total: nonzeros=2741, allocated nonzeros=4861 total: nonzeros=2741, allocated nonzeros=4861
total number of mallocs used during MatSetValues calls=0 total number of mallocs used during MatSetValues calls=0
block size is 1 block size is 1
Mat Object: () 1 MPI processes | Mat Object: () 1 MPI process
type: seqaij type: seqaij
rows=621, cols=621 rows=621, cols=621
total: nonzeros=4861, allocated nonzeros=4861 total: nonzeros=4861, allocated nonzeros=4861
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
Up solver (post-smoother) same as down solver (pre-smoother) Up solver (post-smoother) same as down solver (pre-smoother)
linear system matrix followed by preconditioner matrix: linear system matrix followed by preconditioner matrix:
Mat Object: () 1 MPI processes | Mat Object: () 1 MPI process
type: seqsbaij type: seqsbaij
rows=621, cols=621 rows=621, cols=621
total: nonzeros=2741, allocated nonzeros=4861 total: nonzeros=2741, allocated nonzeros=4861
total number of mallocs used during MatSetValues calls=0 total number of mallocs used during MatSetValues calls=0
block size is 1 block size is 1
Mat Object: () 1 MPI processes | Mat Object: () 1 MPI process
type: seqaij type: seqaij
rows=621, cols=621 rows=621, cols=621
total: nonzeros=4861, allocated nonzeros=4861 total: nonzeros=4861, allocated nonzeros=4861
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
Residual norms for solve. Residual norms for solve.
0 KSP Residual norm 2.502793889972e+01 0 KSP Residual norm 2.502793889972e+01
Norm of the residue: 25.0279 (1) Norm of the residue: 25.0279 (1)
1 KSP Residual norm 8.113539655271e+00 | 1 KSP Residual norm 1.455987166528e+01
8.11354 2 KSP Residual norm 2.287319552257e+00 | 14.5599 2 KSP Residual norm 5.002088468387e+00
2.28732 3 KSP Residual norm 2.790714178277e-01 | 5.00209 3 KSP Residual norm 3.563572841901e+00
0.279071 4 KSP Residual norm 9.146028381631e-02 | 3.56357 4 KSP Residual norm 3.254055601826e+00
0.0914603 5 KSP Residual norm 2.097385003258e-01 | 3.25406 5 KSP Residual norm 5.149095130937e+00
0.209739 6 KSP Residual norm 1.681537807479e-01 | 5.1491 6 KSP Residual norm 3.704916037166e+00
0.168154 7 KSP Residual norm 2.423279988198e-02 | 3.70492 7 KSP Residual norm 2.617361934504e+00
0.0242328 8 KSP Residual norm 5.639208656945e-03 | 2.61736 8 KSP Residual norm 5.518252053793e-01
0.00563921 9 KSP Residual norm 9.513057138107e-04 | 0.551825 9 KSP Residual norm 1.370297244858e-01
0.000951306 10 KSP Residual norm 9.094805703881e-05 | 0.13703 10 KSP Residual norm 6.247063577510e-02
9.09481e-05 11 KSP Residual norm 8.193064866075e-06 | 0.0624706 11 KSP Residual norm 4.303931749612e-02
8.19306e-06 12 KSP Residual norm 6.553439723051e-07 | 0.0430393 12 KSP Residual norm 2.250068660385e-02
6.55344e-07 13 KSP Residual norm 5.871859963804e-08 | 0.0225007 13 KSP Residual norm 7.134471495750e-02
5.87186e-08 14 KSP Residual norm 4.706109931328e-09 | 0.0713447 14 KSP Residual norm 1.033364219900e-01
4.70611e-09 15 KSP Residual norm 3.667606719929e-10 | 0.103336 15 KSP Residual norm 2.415112280930e-02
3.66761e-10 | 0.0241511
16 KSP Residual norm 2.808385645787e-11 | 16 KSP Residual norm 4.235551594733e-03
2.80839e-11 17 KSP Residual norm 2.440471825537e-12 | 0.00423555 17 KSP Residual norm 6.461522827249e-04
2.44047e-12 18 KSP Residual norm 1.822451029012e-13 | 0.000646152 18 KSP Residual norm 6.057900559623e-05
1.82245e-13 KSP Object: () 1 MPI processes | 6.0579e-05 19 KSP Residual norm 8.403658056336e-06
> 8.40366e-06 20 KSP Residual norm 1.466002164681e-06
> 1.466e-06 21 KSP Residual norm 1.447413843733e-07
> 1.44741e-07 22 KSP Residual norm 1.110515958202e-08
> 1.11052e-08 23 KSP Residual norm 8.580777887833e-10
> 8.58078e-10 24 KSP Residual norm 6.731247034592e-11
> 6.73125e-11 25 KSP Residual norm 5.429969244763e-12
> 5.42997e-12 26 KSP Residual norm 4.062780155024e-13
> 4.06278e-13 KSP Object: () 1 MPI process
type: cg type: cg
maximum iterations=10000, nonzero initial guess maximum iterations=10000, nonzero initial guess
tolerances: relative=0., absolute=1e-12, divergence=10000. tolerances: relative=0., absolute=1e-12, divergence=10000.
left preconditioning left preconditioning
using UNPRECONDITIONED norm type for convergence test using UNPRECONDITIONED norm type for convergence test
PC Object: () 1 MPI processes | PC Object: () 1 MPI process
type: gamg type: gamg
type is MULTIPLICATIVE, levels=3 cycles=v type is MULTIPLICATIVE, levels=3 cycles=v
Cycles per PCApply=1 Cycles per PCApply=1
Using externally compute Galerkin coarse grid matrices Using externally compute Galerkin coarse grid matrices
GAMG specific options GAMG specific options
Threshold for dropping small values in graph on each level = 0. | Threshold for dropping small values in graph on each level = 0. 0. 0.
Threshold scaling factor for each level not specified = 1. Threshold scaling factor for each level not specified = 1.
Complexity: grid = 2.20325 | Complexity: grid = 1.34138 operator = 2.33594
Coarse grid solver -- level ------------------------------- | Coarse grid solver -- level 0 -------------------------------
KSP Object: (mg_coarse_) 1 MPI processes | KSP Object: (mg_coarse_) 1 MPI process
type: preonly type: preonly
maximum iterations=10000, initial guess is zero maximum iterations=10000, initial guess is zero
tolerances: relative=1e-05, absolute=1e-50, divergence=10000. tolerances: relative=1e-05, absolute=1e-50, divergence=10000.
left preconditioning left preconditioning
using NONE norm type for convergence test using NONE norm type for convergence test
PC Object: (mg_coarse_) 1 MPI processes | PC Object: (mg_coarse_) 1 MPI process
type: bjacobi type: bjacobi
number of blocks = 1 number of blocks = 1
Local solver is the same for all blocks, as in the following KSP and PC objects on rank | Local solver information for first block is in the following KSP and PC objects on rank
KSP Object: (mg_coarse_sub_) 1 MPI processes | Use -mg_coarse_ksp_view ::ascii_info_detail to display information for all blocks
type: preonly | KSP Object: (mg_coarse_sub_) 1 MPI process
maximum iterations=1, initial guess is zero | type: preonly
tolerances: relative=1e-05, absolute=1e-50, divergence=10000. | maximum iterations=1, initial guess is zero
left preconditioning | tolerances: relative=1e-05, absolute=1e-50, divergence=10000.
using NONE norm type for convergence test | left preconditioning
PC Object: (mg_coarse_sub_) 1 MPI processes | using NONE norm type for convergence test
type: lu | PC Object: (mg_coarse_sub_) 1 MPI process
out-of-place factorization | type: lu
tolerance for zero pivot 2.22045e-14 | out-of-place factorization
using diagonal shift on blocks to prevent zero pivot [INBLOCKS] | tolerance for zero pivot 2.22045e-14
matrix ordering: nd | using diagonal shift on blocks to prevent zero pivot [INBLOCKS]
factor fill ratio given 5., needed 1.08594 | matrix ordering: nd
Factored matrix follows: | factor fill ratio given 5., needed 1.04615
Mat Object: 1 MPI processes | Factored matrix follows:
type: seqaij | Mat Object: (mg_coarse_sub_) 1 MPI process
rows=41, cols=41 | type: seqaij
package used to perform factorization: petsc | rows=30, cols=30
total: nonzeros=1491, allocated nonzeros=1491 | package used to perform factorization: petsc
using I-node routines: found 24 nodes, limit used is 5 | total: nonzeros=816, allocated nonzeros=816
linear system matrix = precond matrix: | using I-node routines: found 13 nodes, limit used is 5
Mat Object: 1 MPI processes | linear system matrix = precond matrix:
type: seqaij | Mat Object: (mg_coarse_sub_) 1 MPI process
rows=41, cols=41 | type: seqaij
total: nonzeros=1373, allocated nonzeros=1373 | rows=30, cols=30
total number of mallocs used during MatSetValues calls=0 | total: nonzeros=780, allocated nonzeros=780
not using I-node routines | total number of mallocs used during MatSetValues calls=0
> not using I-node routines
linear system matrix = precond matrix: linear system matrix = precond matrix:
Mat Object: 1 MPI processes | Mat Object: (mg_coarse_sub_) 1 MPI process
type: seqaij type: seqaij
rows=41, cols=41 | rows=30, cols=30
total: nonzeros=1373, allocated nonzeros=1373 | total: nonzeros=780, allocated nonzeros=780
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
Down solver (pre-smoother) on level 1 ------------------------------- Down solver (pre-smoother) on level 1 -------------------------------
KSP Object: (mg_levels_1_) 1 MPI processes | KSP Object: (mg_levels_1_) 1 MPI process
type: chebyshev type: chebyshev
eigenvalue estimates used: min = 0.0996528, max = 1.09618 | Chebyshev polynomial of first kind
eigenvalues estimate via gmres min 0.00906746, max 0.996528 | eigenvalue targets used: min 0.0999712, max 1.09968
eigenvalues estimated using gmres with translations [0. 0.1; 0. 1.1] | eigenvalues estimated via gmres: min 0.0187175, max 0.999712
KSP Object: (mg_levels_1_esteig_) 1 MPI processes | eigenvalues estimated using gmres with transform: [0. 0.1; 0. 1.1]
> KSP Object: (mg_levels_1_esteig_) 1 MPI process
type: gmres type: gmres
restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iter restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iter
happy breakdown tolerance 1e-30 happy breakdown tolerance 1e-30
maximum iterations=10, initial guess is zero maximum iterations=10, initial guess is zero
tolerances: relative=1e-12, absolute=1e-50, divergence=10000. tolerances: relative=1e-12, absolute=1e-50, divergence=10000.
left preconditioning left preconditioning
using PRECONDITIONED norm type for convergence test using PRECONDITIONED norm type for convergence test
estimating eigenvalues using noisy right hand side estimating eigenvalues using noisy right hand side
maximum iterations=2, nonzero initial guess maximum iterations=2, nonzero initial guess
tolerances: relative=1e-05, absolute=1e-50, divergence=10000. tolerances: relative=1e-05, absolute=1e-50, divergence=10000.
left preconditioning left preconditioning
using NONE norm type for convergence test using NONE norm type for convergence test
PC Object: (mg_levels_1_) 1 MPI processes | PC Object: (mg_levels_1_) 1 MPI process
type: sor type: sor
type = local_symmetric, iterations = 1, local iterations = 1, omega = 1. type = local_symmetric, iterations = 1, local iterations = 1, omega = 1.
linear system matrix = precond matrix: linear system matrix = precond matrix:
Mat Object: 1 MPI processes | Mat Object: 1 MPI process
type: seqaij type: seqaij
rows=182, cols=182 rows=182, cols=182
total: nonzeros=4476, allocated nonzeros=4476 | total: nonzeros=5714, allocated nonzeros=5714
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
Up solver (post-smoother) same as down solver (pre-smoother) Up solver (post-smoother) same as down solver (pre-smoother)
Down solver (pre-smoother) on level 2 ------------------------------- Down solver (pre-smoother) on level 2 -------------------------------
KSP Object: (mg_levels_2_) 1 MPI processes | KSP Object: (mg_levels_2_) 1 MPI process
type: chebyshev type: chebyshev
eigenvalue estimates used: min = 0.0997973, max = 1.09777 | Chebyshev polynomial of first kind
eigenvalues estimate via gmres min 0.0015894, max 0.997973 | eigenvalue targets used: min 0.0997973, max 1.09777
eigenvalues estimated using gmres with translations [0. 0.1; 0. 1.1] | eigenvalues estimated via gmres: min 0.0015894, max 0.997973
KSP Object: (mg_levels_2_esteig_) 1 MPI processes | eigenvalues estimated using gmres with transform: [0. 0.1; 0. 1.1]
> KSP Object: (mg_levels_2_esteig_) 1 MPI process
type: gmres type: gmres
restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iter restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iter
happy breakdown tolerance 1e-30 happy breakdown tolerance 1e-30
maximum iterations=10, initial guess is zero maximum iterations=10, initial guess is zero
tolerances: relative=1e-12, absolute=1e-50, divergence=10000. tolerances: relative=1e-12, absolute=1e-50, divergence=10000.
left preconditioning left preconditioning
using PRECONDITIONED norm type for convergence test using PRECONDITIONED norm type for convergence test
estimating eigenvalues using noisy right hand side estimating eigenvalues using noisy right hand side
maximum iterations=2, nonzero initial guess maximum iterations=2, nonzero initial guess
tolerances: relative=1e-05, absolute=1e-50, divergence=10000. tolerances: relative=1e-05, absolute=1e-50, divergence=10000.
left preconditioning left preconditioning
using NONE norm type for convergence test using NONE norm type for convergence test
PC Object: (mg_levels_2_) 1 MPI processes | PC Object: (mg_levels_2_) 1 MPI process
type: sor type: sor
type = local_symmetric, iterations = 1, local iterations = 1, omega = 1. type = local_symmetric, iterations = 1, local iterations = 1, omega = 1.
linear system matrix followed by preconditioner matrix: linear system matrix followed by preconditioner matrix:
Mat Object: () 1 MPI processes | Mat Object: () 1 MPI process
type: seqsbaij type: seqsbaij
rows=621, cols=621 rows=621, cols=621
total: nonzeros=2741, allocated nonzeros=4861 total: nonzeros=2741, allocated nonzeros=4861
total number of mallocs used during MatSetValues calls=0 total number of mallocs used during MatSetValues calls=0
block size is 1 block size is 1
Mat Object: () 1 MPI processes | Mat Object: () 1 MPI process
type: seqaij type: seqaij
rows=621, cols=621 rows=621, cols=621
total: nonzeros=4861, allocated nonzeros=4861 total: nonzeros=4861, allocated nonzeros=4861
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
Up solver (post-smoother) same as down solver (pre-smoother) Up solver (post-smoother) same as down solver (pre-smoother)
linear system matrix followed by preconditioner matrix: linear system matrix followed by preconditioner matrix:
Mat Object: () 1 MPI processes | Mat Object: () 1 MPI process
type: seqsbaij type: seqsbaij
rows=621, cols=621 rows=621, cols=621
total: nonzeros=2741, allocated nonzeros=4861 total: nonzeros=2741, allocated nonzeros=4861
total number of mallocs used during MatSetValues calls=0 total number of mallocs used during MatSetValues calls=0
block size is 1 block size is 1
Mat Object: () 1 MPI processes | Mat Object: () 1 MPI process
type: seqaij type: seqaij
rows=621, cols=621 rows=621, cols=621
total: nonzeros=4861, allocated nonzeros=4861 total: nonzeros=4861, allocated nonzeros=4861
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