xref: /petsc/src/snes/tutorials/output/ex5_msm_5.out (revision 98d129c30f3ee9fdddc40fdbc5a989b7be64f888)
1  0 SNES Function norm 0.137187
2    0 KSP Residual norm 0.0667864
3    1 KSP Residual norm 0.0318467
4    2 KSP Residual norm 0.0197919
5    3 KSP Residual norm 0.012888
6    4 KSP Residual norm 0.00839236
7    5 KSP Residual norm 0.00545974
8    6 KSP Residual norm 0.00354928
9    7 KSP Residual norm 0.00230607
10    8 KSP Residual norm 0.00149773
11    9 KSP Residual norm 0.000972456
12   10 KSP Residual norm 0.000631278
13   11 KSP Residual norm 0.000409741
14   12 KSP Residual norm 0.000265922
15   13 KSP Residual norm 0.000172571
16   14 KSP Residual norm 0.000111985
17   15 KSP Residual norm 7.26671e-05
18   16 KSP Residual norm 4.71524e-05
19   17 KSP Residual norm 3.05959e-05
20   18 KSP Residual norm 1.98526e-05
21   19 KSP Residual norm 1.28815e-05
22   20 KSP Residual norm 8.35822e-06
23   21 KSP Residual norm 5.42324e-06
24   22 KSP Residual norm 3.51887e-06
25   23 KSP Residual norm 2.28321e-06
26   24 KSP Residual norm 1.48146e-06
27   25 KSP Residual norm 9.61239e-07
28   26 KSP Residual norm 6.23697e-07
29   27 KSP Residual norm 4.04683e-07
30   28 KSP Residual norm 2.62577e-07
31   29 KSP Residual norm 1.70372e-07
32   30 KSP Residual norm 1.10545e-07
33   31 KSP Residual norm 7.17267e-08
34   32 KSP Residual norm 4.65395e-08
35   33 KSP Residual norm 3.0197e-08
36   34 KSP Residual norm 1.95932e-08
37   35 KSP Residual norm 1.27129e-08
38   36 KSP Residual norm 8.24873e-09
39   37 KSP Residual norm 5.35215e-09
40   38 KSP Residual norm 3.47272e-09
41   39 KSP Residual norm 2.25326e-09
42   40 KSP Residual norm 1.46201e-09
43   41 KSP Residual norm 9.486e-10
44   42 KSP Residual norm 6.155e-10
45   43 KSP Residual norm 3.994e-10
46   44 KSP Residual norm 2.591e-10
47   45 KSP Residual norm 1.681e-10
48   46 KSP Residual norm 1.091e-10
49   47 KSP Residual norm 7.078e-11
50   48 KSP Residual norm 4.593e-11
51  1 SNES Function norm 1.509e-10
52Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 1
53SNES Object: 2 MPI processes
54  type: newtonls
55  maximum iterations=50, maximum function evaluations=10000
56  tolerances: relative=1e-08, absolute=1e-50, solution=1e-08
57  total number of linear solver iterations=48
58  total number of function evaluations=2
59  norm schedule ALWAYS
60  Jacobian is built using a DMDA local Jacobian
61  SNESLineSearch Object: 2 MPI processes
62    type: bt
63      interpolation: cubic
64      alpha=1.000000e-04
65    maxstep=1.000000e+08, minlambda=1.000000e-12
66    tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08
67    maximum iterations=40
68  KSP Object: 2 MPI processes
69    type: richardson
70      damping factor=1.
71    maximum iterations=10000, initial guess is zero
72    tolerances: relative=1e-09, absolute=1e-50, divergence=10000.
73    left preconditioning
74    using PRECONDITIONED norm type for convergence test
75  PC Object: 2 MPI processes
76    type: asm
77      total subdomain blocks = 4, amount of overlap = 0
78      restriction/interpolation type - RESTRICT
79      Additive Schwarz: local solve composition type - MULTIPLICATIVE
80      Local solver information for first block is in the following KSP and PC objects on rank 0:
81      Use -ksp_view ::ascii_info_detail to display information for all blocks
82    KSP Object: (sub_) 1 MPI process
83      type: preonly
84      maximum iterations=10000, initial guess is zero
85      tolerances: relative=1e-05, absolute=1e-50, divergence=10000.
86      left preconditioning
87      using NONE norm type for convergence test
88    PC Object: (sub_) 1 MPI process
89      type: lu
90        out-of-place factorization
91        tolerance for zero pivot 2.22045e-14
92        matrix ordering: nd
93        factor fill ratio given 5., needed 1.35714
94          Factored matrix follows:
95            Mat Object: (sub_) 1 MPI process
96              type: seqaij
97              rows=8, cols=8
98              package used to perform factorization: petsc
99              total: nonzeros=38, allocated nonzeros=38
100                not using I-node routines
101      linear system matrix = precond matrix:
102      Mat Object: (sub_) 1 MPI process
103        type: seqaij
104        rows=8, cols=8
105        total: nonzeros=28, allocated nonzeros=28
106        total number of mallocs used during MatSetValues calls=0
107          not using I-node routines
108    linear system matrix = precond matrix:
109    Mat Object: 2 MPI processes
110      type: mpiaij
111      rows=32, cols=32
112      total: nonzeros=136, allocated nonzeros=136
113      total number of mallocs used during MatSetValues calls=0
114N: 32 error L2 2.31211e-11 inf 6.01052e-11
115