[petsc-users] CG with right preconditioning supports NONE norm type only

[Kong, Fande]

Hi All,

The NONE norm type is supported only when CG is used with a right
preconditioner. Any reason for this?



















































































*0 Nonlinear |R| = 1.732051e+00      0 Linear |R| = 0.000000e+00      1
Linear |R| = 0.000000e+00      2 Linear |R| = 0.000000e+00      3 Linear
|R| = 0.000000e+00      4 Linear |R| = 0.000000e+00      5 Linear |R| =
0.000000e+00      6 Linear |R| = 0.000000e+00 1 Nonlinear |R| =
1.769225e-08      0 Linear |R| = 0.000000e+00      1 Linear |R| =
0.000000e+00      2 Linear |R| = 0.000000e+00      3 Linear |R| =
0.000000e+00      4 Linear |R| = 0.000000e+00      5 Linear |R| =
0.000000e+00      6 Linear |R| = 0.000000e+00      7 Linear |R| =
0.000000e+00      8 Linear |R| = 0.000000e+00      9 Linear |R| =
0.000000e+00     10 Linear |R| = 0.000000e+00 2 Nonlinear |R| =
0.000000e+00SNES Object: 1 MPI processes  type: newtonls  maximum
iterations=50, maximum function evaluations=10000  tolerances:
relative=1e-08, absolute=1e-50, solution=1e-50  total number of linear
solver iterations=18  total number of function evaluations=23  norm
schedule ALWAYS  SNESLineSearch Object:   1 MPI processes    type: bt
interpolation: cubic      alpha=1.000000e-04    maxstep=1.000000e+08,
minlambda=1.000000e-12    tolerances: relative=1.000000e-08,
absolute=1.000000e-15, lambda=1.000000e-08    maximum iterations=40  KSP
Object:   1 MPI processes    type: cg    maximum iterations=10000, initial
guess is zero    tolerances:  relative=1e-05, absolute=1e-50,
divergence=10000.    right preconditioning    using NONE norm type for
convergence test  PC Object:   1 MPI processes    type: hypre      HYPRE
BoomerAMG preconditioning      HYPRE BoomerAMG: Cycle type V      HYPRE
BoomerAMG: Maximum number of levels 25      HYPRE BoomerAMG: Maximum number
of iterations PER hypre call 1      HYPRE BoomerAMG: Convergence tolerance
PER hypre call 0.      HYPRE BoomerAMG: Threshold for strong coupling
0.25      HYPRE BoomerAMG: Interpolation truncation factor 0.      HYPRE
BoomerAMG: Interpolation: max elements per row 0      HYPRE BoomerAMG:
Number of levels of aggressive coarsening 0      HYPRE BoomerAMG: Number of
paths for aggressive coarsening 1      HYPRE BoomerAMG: Maximum row sums
0.9      HYPRE BoomerAMG: Sweeps down         1      HYPRE BoomerAMG:
Sweeps up           1      HYPRE BoomerAMG: Sweeps on coarse    1
HYPRE BoomerAMG: Relax down          symmetric-SOR/Jacobi      HYPRE
BoomerAMG: Relax up            symmetric-SOR/Jacobi      HYPRE BoomerAMG:
Relax on coarse     Gaussian-elimination      HYPRE BoomerAMG: Relax
weight  (all)      1.      HYPRE BoomerAMG: Outer relax weight (all)
1.      HYPRE BoomerAMG: Using CF-relaxation      HYPRE BoomerAMG: Not
using more complex smoothers.      HYPRE BoomerAMG: Measure type
local      HYPRE BoomerAMG: Coarsen type        Falgout      HYPRE
BoomerAMG: Interpolation type  classical    linear system matrix followed
by preconditioner matrix:    Mat Object:     1 MPI processes      type:
mffd      rows=9, cols=9        Matrix-free approximation:
err=1.49012e-08 (relative error in function evaluation)          Using wp
compute h routine              Does not compute normU    Mat Object:
()     1 MPI processes      type: seqaij      rows=9, cols=9      total:
nonzeros=49, allocated nonzeros=49      total number of mallocs used during
MatSetValues calls =0        not using I-node routines*

Fande,
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