xref: /petsc/src/snes/tutorials/output/ex12_43.out (revision 66af8762ec03dbef0e079729eb2a1734a35ed7ff)
1  0 SNES Function norm 437.426
2    0 SNES Function norm 437.426
3    1 SNES Function norm 124.967
4      0 SNES Function norm 123.957
5      1 SNES Function norm 55.8605
6      2 SNES Function norm 69.0578
7      3 SNES Function norm 17.2709
8      4 SNES Function norm 2.50333
9      5 SNES Function norm 0.0362593
10      6 SNES Function norm 8.67106e-06
11      7 SNES Function norm < 1.e-11
12    0 SNES Function norm 68.4529
13    1 SNES Function norm 20.5996
14  1 SNES Function norm 20.5996
15    0 SNES Function norm 20.5996
16    1 SNES Function norm 6.96932
17      0 SNES Function norm 4.90654
18      1 SNES Function norm 1.23848
19      2 SNES Function norm 0.0505983
20      3 SNES Function norm 0.000529124
21      4 SNES Function norm 4.85532e-08
22    0 SNES Function norm 16.6477
23    1 SNES Function norm 11.6307
24  2 SNES Function norm 11.6307
25    0 SNES Function norm 11.6307
26    1 SNES Function norm 3.22446
27      0 SNES Function norm 2.39658
28      1 SNES Function norm 0.342897
29      2 SNES Function norm 0.0136105
30      3 SNES Function norm 2.36185e-05
31      4 SNES Function norm 7.269e-11
32    0 SNES Function norm 1.96253
33    1 SNES Function norm 0.322793
34  3 SNES Function norm 0.322793
35    0 SNES Function norm 0.322793
36    1 SNES Function norm 0.0148152
37      0 SNES Function norm 0.00758764
38      1 SNES Function norm 6.45362e-06
39      2 SNES Function norm < 1.e-11
40    0 SNES Function norm 0.0129681
41    1 SNES Function norm 1.75916e-05
42  4 SNES Function norm 1.75916e-05
43    0 SNES Function norm 1.75916e-05
44    1 SNES Function norm 5.749e-11
45      0 SNES Function norm 2.218e-11
46      1 SNES Function norm < 1.e-11
47    0 SNES Function norm 5.304e-11
48    1 SNES Function norm < 1.e-11
49  5 SNES Function norm < 1.e-11
50L_2 Error: 0.00433493
51Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 5
52SNES Object: 2 MPI processes
53  type: fas
54    type is MULTIPLICATIVE, levels=2, cycles=1
55    Not using Galerkin computed coarse grid function evaluation
56    Coarse grid solver -- level 0 -------------------------------
57    SNES Object: (fas_coarse_) 2 MPI processes
58      type: newtonls
59      maximum iterations=50, maximum function evaluations=10000
60      tolerances: relative=1e-08, absolute=1e-50, solution=1e-08
61      total number of linear solver iterations=1
62      total number of function evaluations=1
63      norm schedule ALWAYS
64      SNESLineSearch Object: (fas_coarse_) 2 MPI processes
65        type: basic
66        maxstep=1.000000e+08, minlambda=1.000000e-12
67        tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08
68        maximum iterations=40
69      KSP Object: (fas_coarse_) 2 MPI processes
70        type: gmres
71          restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement
72          happy breakdown tolerance 1e-30
73        maximum iterations=10000, initial guess is zero
74        tolerances:  relative=1e-10, absolute=1e-50, divergence=10000.
75        left preconditioning
76        using PRECONDITIONED norm type for convergence test
77      PC Object: (fas_coarse_) 2 MPI processes
78        type: svd
79          All singular values smaller than 1e-12 treated as zero
80          Provided essential rank of the matrix 0 (all other eigenvalues are zeroed)
81        linear system matrix = precond matrix:
82        Mat Object: 2 MPI processes
83          type: mpiaij
84          rows=9, cols=9
85          total: nonzeros=41, allocated nonzeros=41
86          total number of mallocs used during MatSetValues calls=0
87            not using I-node (on process 0) routines
88    Down solver (pre-smoother) on level 1 -------------------------------
89    SNES Object: (fas_levels_1_) 2 MPI processes
90      type: newtonls
91      maximum iterations=1, maximum function evaluations=30000
92      tolerances: relative=0., absolute=0., solution=0.
93      total number of linear solver iterations=1
94      total number of function evaluations=2
95      norm schedule FINALONLY
96      SNESLineSearch Object: (fas_levels_1_) 2 MPI processes
97        type: bt
98          interpolation: cubic
99          alpha=1.000000e-04
100        maxstep=1.000000e+08, minlambda=1.000000e-12
101        tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08
102        maximum iterations=40
103      KSP Object: (fas_levels_1_) 2 MPI processes
104        type: gmres
105          restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement
106          happy breakdown tolerance 1e-30
107        maximum iterations=10000, initial guess is zero
108        tolerances:  relative=1e-10, absolute=1e-50, divergence=10000.
109        left preconditioning
110        using PRECONDITIONED norm type for convergence test
111      PC Object: (fas_levels_1_) 2 MPI processes
112        type: svd
113          All singular values smaller than 1e-12 treated as zero
114          Provided essential rank of the matrix 0 (all other eigenvalues are zeroed)
115        linear system matrix = precond matrix:
116        Mat Object: 2 MPI processes
117          type: mpiaij
118          rows=49, cols=49
119          total: nonzeros=289, allocated nonzeros=289
120          total number of mallocs used during MatSetValues calls=0
121            not using I-node (on process 0) routines
122    Up solver (post-smoother) same as down solver (pre-smoother)
123  maximum iterations=10000, maximum function evaluations=30000
124  tolerances: relative=1e-08, absolute=1e-50, solution=1e-08
125  total number of function evaluations=1
126  norm schedule ALWAYS
127