xref: /petsc/src/snes/tutorials/output/ex5_msm_4.out (revision 4ad8454beace47809662cdae21ee081016eaa39a)
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    maxstep=1.000000e+08, 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      using NONE norm type for convergence test
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 follows:
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 = precond matrix:
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 = precond matrix:
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