xref: /petsc/src/snes/tutorials/output/ex5_msm_4.out (revision 607e733f3db3ee7f6f605a13295c517df8dbb9c9)
1  0 SNES Function norm 0.137187
2    0 KSP Residual norm 0.0751492
3    1 KSP Residual norm 0.0303034
4    2 KSP Residual norm 0.0188899
5    3 KSP Residual norm 0.0117752
6    4 KSP Residual norm 0.00734021
7    5 KSP Residual norm 0.0045756
8    6 KSP Residual norm 0.00285225
9    7 KSP Residual norm 0.00177798
10    8 KSP Residual norm 0.00110832
11    9 KSP Residual norm 0.000690883
12   10 KSP Residual norm 0.000430669
13   11 KSP Residual norm 0.000268462
14   12 KSP Residual norm 0.000167349
15   13 KSP Residual norm 0.000104319
16   14 KSP Residual norm 6.5028e-05
17   15 KSP Residual norm 4.05359e-05
18   16 KSP Residual norm 2.52685e-05
19   17 KSP Residual norm 1.57514e-05
20   18 KSP Residual norm 9.81878e-06
21   19 KSP Residual norm 6.12064e-06
22   20 KSP Residual norm 3.81536e-06
23   21 KSP Residual norm 2.37835e-06
24   22 KSP Residual norm 1.48257e-06
25   23 KSP Residual norm 9.24174e-07
26   24 KSP Residual norm 5.76093e-07
27   25 KSP Residual norm 3.59114e-07
28   26 KSP Residual norm 2.23857e-07
29   27 KSP Residual norm 1.39544e-07
30   28 KSP Residual norm 8.69861e-08
31   29 KSP Residual norm 5.42237e-08
32   30 KSP Residual norm 3.38009e-08
33   31 KSP Residual norm 2.10701e-08
34   32 KSP Residual norm 1.31343e-08
35   33 KSP Residual norm 8.1874e-09
36   34 KSP Residual norm 5.1037e-09
37   35 KSP Residual norm 3.18144e-09
38   36 KSP Residual norm 1.98319e-09
39   37 KSP Residual norm 1.23624e-09
40   38 KSP Residual norm 7.706e-10
41   39 KSP Residual norm 4.804e-10
42   40 KSP Residual norm 2.994e-10
43   41 KSP Residual norm 1.867e-10
44   42 KSP Residual norm 1.164e-10
45   43 KSP Residual norm 7.253e-11
46  1 SNES Function norm 2.290e-10
47Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 1
48SNES Object: 2 MPI processes
49  type: newtonls
50  maximum iterations=50, maximum function evaluations=10000
51  tolerances: relative=1e-08, absolute=1e-50, solution=1e-08
52  total number of linear solver iterations=43
53  total number of function evaluations=2
54  norm schedule ALWAYS
55  Jacobian is built using a DMDA local Jacobian
56  SNESLineSearch Object: 2 MPI processes
57    type: bt
58      interpolation: cubic
59      alpha=1.000000e-04
60    maxlambda=1.000000e+00, minlambda=1.000000e-12
61    tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08
62    maximum iterations=40
63  KSP Object: 2 MPI processes
64    type: richardson
65      damping factor=1.
66    maximum iterations=10000, initial guess is zero
67    tolerances: relative=1e-09, absolute=1e-50, divergence=10000.
68    left preconditioning
69    using PRECONDITIONED norm type for convergence test
70  PC Object: 2 MPI processes
71    type: asm
72      total subdomain blocks = 2, amount of overlap = 0
73      restriction/interpolation type - RESTRICT
74      Additive Schwarz: local solve composition type - MULTIPLICATIVE
75      Local solver information for first block is in the following KSP and PC objects on rank 0:
76      Use -ksp_view ::ascii_info_detail to display information for all blocks
77      KSP Object: (sub_) 1 MPI process
78        type: preonly
79        maximum iterations=10000, initial guess is zero
80        tolerances: relative=1e-05, absolute=1e-50, divergence=10000.
81        left preconditioning
82        not checking for convergence
83      PC Object: (sub_) 1 MPI process
84        type: lu
85          out-of-place factorization
86          tolerance for zero pivot 2.22045e-14
87          matrix ordering: nd
88          factor fill ratio given 5., needed 1.875
89            Factored matrix:
90              Mat Object: (sub_) 1 MPI process
91                type: seqaij
92                rows=16, cols=16
93                package used to perform factorization: petsc
94                total: nonzeros=120, allocated nonzeros=120
95                  using I-node routines: found 12 nodes, limit used is 5
96        linear system matrix, which is also used to construct the preconditioner:
97        Mat Object: (sub_) 1 MPI process
98          type: seqaij
99          rows=16, cols=16
100          total: nonzeros=64, allocated nonzeros=64
101          total number of mallocs used during MatSetValues calls=0
102            not using I-node routines
103    linear system matrix, which is also used to construct the preconditioner:
104    Mat Object: 2 MPI processes
105      type: mpiaij
106      rows=32, cols=32
107      total: nonzeros=136, allocated nonzeros=136
108      total number of mallocs used during MatSetValues calls=0
109N: 32 error L2 3.40437e-11 inf 8.12005e-11
110