xref: /petsc/src/snes/tutorials/output/ex12_44_alt.out (revision 98d129c30f3ee9fdddc40fdbc5a989b7be64f888)
1  0 SNES Function norm 3393.27
2    0 SNES Function norm 3393.27
3    1 SNES Function norm 937.658
4      0 SNES Function norm 858.91
5      1 SNES Function norm 343.648
6        0 SNES Function norm 280.975
7        1 SNES Function norm 193.8
8        2 SNES Function norm 61483.4
9        3 SNES Function norm 18172.7
10        4 SNES Function norm 5338.44
11        5 SNES Function norm 1535.53
12        6 SNES Function norm 411.217
13        7 SNES Function norm 86.8928
14        8 SNES Function norm 8.80363
15        9 SNES Function norm 0.129676
16       10 SNES Function norm 2.95747e-05
17       11 SNES Function norm < 1.e-11
18      0 SNES Function norm 270.325
19      1 SNES Function norm 160.311
20    0 SNES Function norm 761.459
21    1 SNES Function norm 226.117
22  1 SNES Function norm 226.117
23    0 SNES Function norm 226.117
24    1 SNES Function norm 67.3939
25      0 SNES Function norm 46.5799
26      1 SNES Function norm 19.1174
27        0 SNES Function norm 14.928
28        1 SNES Function norm 32.9355
29        2 SNES Function norm 7.81806
30        3 SNES Function norm 1.11612
31        4 SNES Function norm 0.0418029
32        5 SNES Function norm 0.00019802
33        6 SNES Function norm 2.54966e-08
34      0 SNES Function norm 29.0551
35      1 SNES Function norm 17.1993
36    0 SNES Function norm 32.2278
37    1 SNES Function norm 8.04014
38  2 SNES Function norm 8.04014
39    0 SNES Function norm 8.04014
40    1 SNES Function norm 2.06394
41      0 SNES Function norm 1.45779
42      1 SNES Function norm 0.168478
43        0 SNES Function norm 0.165074
44        1 SNES Function norm 0.00222455
45        2 SNES Function norm 4.88426e-07
46        3 SNES Function norm < 1.e-11
47      0 SNES Function norm 0.0994334
48      1 SNES Function norm 0.00170881
49    0 SNES Function norm 1.30474
50    1 SNES Function norm 0.113808
51  3 SNES Function norm 0.113808
52    0 SNES Function norm 0.113808
53    1 SNES Function norm 0.00241366
54      0 SNES Function norm 0.00139771
55      1 SNES Function norm 2.4063e-07
56        0 SNES Function norm 1.98295e-07
57        1 SNES Function norm < 1.e-11
58      0 SNES Function norm 1.73039e-07
59      1 SNES Function norm < 1.e-11
60    0 SNES Function norm 0.00208614
61    1 SNES Function norm 3.3809e-06
62  4 SNES Function norm 3.3809e-06
63L_2 Error: 0.00363695
64Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 4
65SNES Object: 2 MPI processes
66  type: fas
67    type is MULTIPLICATIVE, levels=3, cycles=1
68    Not using Galerkin computed coarse grid function evaluation
69    Coarse grid solver -- level 0 -------------------------------
70    SNES Object: (fas_coarse_) 2 MPI processes
71      type: newtonls
72      maximum iterations=50, maximum function evaluations=10000
73      tolerances: relative=1e-08, absolute=1e-50, solution=1e-08
74      total number of linear solver iterations=1
75      total number of function evaluations=1
76      SNESLineSearch Object: (fas_coarse_) 2 MPI processes
77        type: basic
78        maxstep=1.000000e+08, minlambda=1.000000e-12
79        tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08
80        maximum iterations=40
81      KSP Object: (fas_coarse_) 2 MPI processes
82        type: gmres
83          restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement
84          happy breakdown tolerance 1e-30
85        maximum iterations=10000, initial guess is zero
86        tolerances: relative=1e-10, absolute=1e-50, divergence=10000.
87        left preconditioning
88        using PRECONDITIONED norm type for convergence test
89      PC Object: (fas_coarse_) 2 MPI processes
90        type: svd
91          All singular values smaller than 1e-12 treated as zero
92          Provided essential rank of the matrix 0 (all other eigenvalues are zeroed)
93        linear system matrix = precond matrix:
94        Mat Object: 2 MPI processes
95          type: mpiaij
96          rows=5, cols=5
97          total: nonzeros=13, allocated nonzeros=13
98          total number of mallocs used during MatSetValues calls=0
99            not using I-node (on process 0) routines
100    Down solver (pre-smoother) on level 1 -------------------------------
101    SNES Object: (fas_levels_1_) 2 MPI processes
102      type: newtonls
103      maximum iterations=1, maximum function evaluations=30000
104      tolerances: relative=0., absolute=0., solution=0.
105      total number of linear solver iterations=1
106      total number of function evaluations=2
107      norm schedule FINALONLY
108      SNESLineSearch Object: (fas_levels_1_) 2 MPI processes
109        type: bt
110          interpolation: cubic
111          alpha=1.000000e-04
112        maxstep=1.000000e+08, minlambda=1.000000e-12
113        tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08
114        maximum iterations=40
115      KSP Object: (fas_levels_1_) 2 MPI processes
116        type: gmres
117          restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement
118          happy breakdown tolerance 1e-30
119        maximum iterations=10000, initial guess is zero
120        tolerances: relative=1e-10, absolute=1e-50, divergence=10000.
121        left preconditioning
122        using PRECONDITIONED norm type for convergence test
123      PC Object: (fas_levels_1_) 2 MPI processes
124        type: svd
125          All singular values smaller than 1e-12 treated as zero
126          Provided essential rank of the matrix 0 (all other eigenvalues are zeroed)
127        linear system matrix = precond matrix:
128        Mat Object: 2 MPI processes
129          type: mpiaij
130          rows=25, cols=25
131          total: nonzeros=137, allocated nonzeros=137
132          total number of mallocs used during MatSetValues calls=0
133            not using I-node (on process 0) routines
134    Up solver (post-smoother) same as down solver (pre-smoother)
135    Down solver (pre-smoother) on level 2 -------------------------------
136    SNES Object: (fas_levels_2_) 2 MPI processes
137      type: newtonls
138      maximum iterations=1, maximum function evaluations=30000
139      tolerances: relative=0., absolute=1e-11, solution=0.
140      total number of linear solver iterations=1
141      total number of function evaluations=2
142      norm schedule FINALONLY
143      SNESLineSearch Object: (fas_levels_2_) 2 MPI processes
144        type: bt
145          interpolation: cubic
146          alpha=1.000000e-04
147        maxstep=1.000000e+08, minlambda=1.000000e-12
148        tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08
149        maximum iterations=40
150      KSP Object: (fas_levels_2_) 2 MPI processes
151        type: gmres
152          restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement
153          happy breakdown tolerance 1e-30
154        maximum iterations=10000, initial guess is zero
155        tolerances: relative=1e-10, absolute=1e-50, divergence=10000.
156        left preconditioning
157        using PRECONDITIONED norm type for convergence test
158      PC Object: (fas_levels_2_) 2 MPI processes
159        type: svd
160          All singular values smaller than 1e-12 treated as zero
161          Provided essential rank of the matrix 0 (all other eigenvalues are zeroed)
162        linear system matrix = precond matrix:
163        Mat Object: 2 MPI processes
164          type: mpiaij
165          rows=113, cols=113
166          total: nonzeros=721, allocated nonzeros=721
167          total number of mallocs used during MatSetValues calls=0
168            not using I-node (on process 0) routines
169    Up solver (post-smoother) same as down solver (pre-smoother)
170  maximum iterations=10000, maximum function evaluations=30000
171  tolerances: relative=1e-08, absolute=1e-50, solution=1e-08
172  total number of function evaluations=1
173  norm schedule ALWAYS
174