xref: /petsc/src/snes/tutorials/output/ex12_fas_ngs_0.out (revision 2ff79c18c26c94ed8cb599682f680f231dca6444)
1  0 SNES Function norm 95.2794
2    1 SNES Function norm 11.2562
3      0 SNES Function norm 6.68972
4      1 SNES Function norm 1.27466
5      2 SNES Function norm 0.079264
6      3 SNES Function norm 0.000353131
7      4 SNES Function norm 7.07495e-09
8    1 SNES Function norm 1.52162
9  1 SNES Function norm 1.52162
10    1 SNES Function norm 0.785084
11      0 SNES Function norm 0.643439
12      1 SNES Function norm 0.0233763
13      2 SNES Function norm 3.2067e-05
14      3 SNES Function norm 6.041e-11
15    1 SNES Function norm 0.170971
16  2 SNES Function norm 0.170971
17    1 SNES Function norm 0.0601088
18      0 SNES Function norm 0.0465713
19      1 SNES Function norm 0.000125247
20      2 SNES Function norm 9.069e-10
21      3 SNES Function norm < 1.e-11
22    1 SNES Function norm 0.00964638
23  3 SNES Function norm 0.00964638
24    1 SNES Function norm 0.00427687
25      0 SNES Function norm 0.00402538
26      1 SNES Function norm 9.35825e-07
27      2 SNES Function norm < 1.e-11
28    1 SNES Function norm 0.00100069
29  4 SNES Function norm 0.00100069
30    1 SNES Function norm 0.000502492
31      0 SNES Function norm 0.000461856
32      1 SNES Function norm 1.23187e-08
33      2 SNES Function norm < 1.e-11
34    1 SNES Function norm 0.000113958
35  5 SNES Function norm 0.000113958
36    1 SNES Function norm 5.42902e-05
37      0 SNES Function norm 4.86028e-05
38      1 SNES Function norm 1.364e-10
39      2 SNES Function norm < 1.e-11
40    1 SNES Function norm 1.16564e-05
41  6 SNES Function norm 1.16564e-05
42    1 SNES Function norm 5.44297e-06
43      0 SNES Function norm 4.84838e-06
44      1 SNES Function norm < 1.e-11
45      2 SNES Function norm < 1.e-11
46    1 SNES Function norm 1.15586e-06
47  7 SNES Function norm 1.15586e-06
48    1 SNES Function norm 5.35218e-07
49      0 SNES Function norm 4.76451e-07
50      1 SNES Function norm < 1.e-11
51      2 SNES Function norm < 1.e-11
52    1 SNES Function norm 1.13316e-07
53  8 SNES Function norm 1.13316e-07
54L_2 Error: 0.0198799
55Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 8
56SNES Object: 1 MPI process
57  type: fas
58    type is MULTIPLICATIVE, levels=2, cycles=1
59    Not using Galerkin computed coarse grid function evaluation
60    Coarse grid solver -- level 0 -------------------------------
61    SNES Object: (fas_coarse_) 1 MPI process
62      type: newtonls
63      maximum iterations=50, maximum function evaluations=10000
64      tolerances: relative=1e-08, absolute=1e-50, solution=1e-08
65      total number of linear solver iterations=2
66      total number of function evaluations=2
67      norm schedule ALWAYS
68      SNESLineSearch Object: (fas_coarse_) 1 MPI process
69        type: basic
70        maxlambda=1.000000e+00, minlambda=1.000000e-12
71        tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08
72        maximum iterations=40
73      KSP Object: (fas_coarse_) 1 MPI process
74        type: gmres
75          restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement
76          happy breakdown tolerance 1e-30
77        maximum iterations=10000, initial guess is zero
78        tolerances: relative=1e-10, absolute=1e-50, divergence=10000.
79        left preconditioning
80        using PRECONDITIONED norm type for convergence test
81      PC Object: (fas_coarse_) 1 MPI process
82        type: svd
83          All singular values smaller than 1e-12 treated as zero
84          Provided essential rank of the matrix 0 (all other eigenvalues are zeroed)
85        linear system matrix = precond matrix:
86        Mat Object: 1 MPI process
87          type: seqaij
88          rows=1, cols=1
89          total: nonzeros=1, allocated nonzeros=1
90          total number of mallocs used during MatSetValues calls=0
91            not using I-node routines
92    Down solver (pre-smoother) on level 1 -------------------------------
93    SNES Object: (fas_levels_1_) 1 MPI process
94      type: ngs
95        Use finite difference secant approximation with coloring with h = 1.49012e-08
96      maximum iterations=1, maximum function evaluations=10000
97      tolerances: relative=0., absolute=0., solution=0.
98      total number of function evaluations=2
99      norm schedule FINALONLY
100    Up solver (post-smoother) same as down solver (pre-smoother)
101  maximum iterations=10000, maximum function evaluations=30000
102  tolerances: relative=1e-08, absolute=1e-50, solution=1e-08
103  total number of function evaluations=1
104  norm schedule ALWAYS
105