xref: /petsc/src/snes/tutorials/output/ex12_quad_hpddm_reuse_threshold.out (revision cb3ff29fa5c880872e59c11fa7fc2fbe1f738e0e)
1  0 SNES Function norm 10.2781
2    0 KSP Residual norm 10.1755
3    1 KSP Residual norm 3.122
4    2 KSP Residual norm 1.98807
5    3 KSP Residual norm 0.523639
6  Linear solve converged due to CONVERGED_RTOL iterations 3
7  1 SNES Function norm 0.770366
8    0 KSP Residual norm 0.523639
9    1 KSP Residual norm 0.255653
10    2 KSP Residual norm 0.154552
11    3 KSP Residual norm 0.0968739
12    4 KSP Residual norm 0.0351983
13  Linear solve converged due to CONVERGED_RTOL iterations 4
14  2 SNES Function norm 0.0513487
15    0 KSP Residual norm 0.0351983
16    1 KSP Residual norm 0.0230681
17    2 KSP Residual norm 0.0106977
18    3 KSP Residual norm 0.00654554
19    4 KSP Residual norm 0.00404898
20    5 KSP Residual norm 0.00160906
21  Linear solve converged due to CONVERGED_RTOL iterations 5
22  3 SNES Function norm 0.00230473
23    0 KSP Residual norm 0.00160906
24    1 KSP Residual norm 0.000904566
25    2 KSP Residual norm 0.000549715
26    3 KSP Residual norm 0.000324851
27    4 KSP Residual norm 0.000168742
28    5 KSP Residual norm 7.79697e-05
29  Linear solve converged due to CONVERGED_RTOL iterations 5
30  4 SNES Function norm 0.000115341
31    0 KSP Residual norm 7.79697e-05
32    1 KSP Residual norm 4.57685e-05
33    2 KSP Residual norm 2.20533e-05
34    3 KSP Residual norm 1.44913e-05
35    4 KSP Residual norm 8.96527e-06
36    5 KSP Residual norm 4.83859e-06
37  Linear solve converged due to CONVERGED_RTOL iterations 5
38  5 SNES Function norm 6.79388e-06
39    0 KSP Residual norm 4.83859e-06
40    1 KSP Residual norm 2.77576e-06
41    2 KSP Residual norm 1.72657e-06
42    3 KSP Residual norm 1.03361e-06
43    4 KSP Residual norm 5.0434e-07
44    5 KSP Residual norm 2.71081e-07
45  Linear solve converged due to CONVERGED_RTOL iterations 5
46  6 SNES Function norm 3.65805e-07
47    0 KSP Residual norm 2.71081e-07
48    1 KSP Residual norm 1.67289e-07
49    2 KSP Residual norm 7.86136e-08
50    3 KSP Residual norm 4.9281e-08
51    4 KSP Residual norm 2.85897e-08
52    5 KSP Residual norm 1.65072e-08
53  Linear solve converged due to CONVERGED_RTOL iterations 5
54  7 SNES Function norm 2.17462e-08
55L_2 Error: 0.000629252
56Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 7
57SNES Object: 4 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=32
62  total number of function evaluations=8
63  norm schedule ALWAYS
64  SNESLineSearch Object: 4 MPI processes
65    type: bt
66      interpolation: cubic
67      alpha=1.000000e-04
68    maxstep=1.000000e+08, minlambda=1.000000e-12
69    tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08
70    maximum iterations=40
71  KSP Object: 4 MPI processes
72    type: gmres
73      restart=100, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement
74      happy breakdown tolerance 1e-30
75    maximum iterations=10000, initial guess is zero
76    tolerances:  relative=0.1, absolute=1e-50, divergence=10000.
77    left preconditioning
78    using PRECONDITIONED norm type for convergence test
79  PC Object: 4 MPI processes
80    type: hpddm
81    levels: 2
82    Neumann matrix attached? TRUE
83    shared subdomain KSP between SLEPc and PETSc? FALSE
84    coarse correction: DEFLATED
85    on process #0, value (+ threshold if available) for selecting deflation vectors: 0 (0.1)
86    grid and operator complexities: 1.0039 1.00069
87    KSP Object: (pc_hpddm_levels_1_) 4 MPI processes
88      type: preonly
89      maximum iterations=10000, initial guess is zero
90      tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
91      left preconditioning
92      using NONE norm type for convergence test
93    PC Object: (pc_hpddm_levels_1_) 4 MPI processes
94      type: shell
95        no name
96      linear system matrix = precond matrix:
97      Mat Object: 4 MPI processes
98        type: mpiaij
99        rows=513, cols=513
100        total: nonzeros=4345, allocated nonzeros=4345
101        total number of mallocs used during MatSetValues calls=0
102          not using I-node (on process 0) routines
103    PC Object: (pc_hpddm_levels_1_) 4 MPI processes
104      type: bjacobi
105        number of blocks = 4
106        Local solver information for first block is in the following KSP and PC objects on rank 0:
107        Use -pc_hpddm_levels_1_ksp_view ::ascii_info_detail to display information for all blocks
108      KSP Object: (pc_hpddm_levels_1_sub_) 1 MPI process
109        type: preonly
110        maximum iterations=10000, initial guess is zero
111        tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
112        left preconditioning
113        using NONE norm type for convergence test
114      PC Object: (pc_hpddm_levels_1_sub_) 1 MPI process
115        type: lu
116          out-of-place factorization
117          tolerance for zero pivot 2.22045e-14
118          matrix ordering: nd
119          factor fill ratio given 5., needed 1.9272
120            Factored matrix follows:
121              Mat Object: (pc_hpddm_levels_1_sub_) 1 MPI process
122                type: seqaij
123                rows=109, cols=109
124                package used to perform factorization: petsc
125                total: nonzeros=1509, allocated nonzeros=1509
126                  not using I-node routines
127        linear system matrix = precond matrix:
128        Mat Object: (pc_hpddm_levels_1_sub_) 1 MPI process
129          type: seqaij
130          rows=109, cols=109
131          total: nonzeros=783, allocated nonzeros=783
132          total number of mallocs used during MatSetValues calls=0
133            not using I-node routines
134      linear system matrix = precond matrix:
135      Mat Object: 4 MPI processes
136        type: mpiaij
137        rows=513, cols=513
138        total: nonzeros=4345, allocated nonzeros=4345
139        total number of mallocs used during MatSetValues calls=0
140          not using I-node (on process 0) routines
141      KSP Object: (pc_hpddm_coarse_) 2 MPI processes
142        type: preonly
143        maximum iterations=10000, initial guess is zero
144        tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
145        left preconditioning
146        using NONE norm type for convergence test
147      PC Object: (pc_hpddm_coarse_) 2 MPI processes
148        type: redundant
149          First (color=0) of 2 PCs follows
150        linear system matrix = precond matrix:
151        Mat Object: (pc_hpddm_coarse_) 2 MPI processes
152          type: mpisbaij
153          rows=2, cols=2
154          total: nonzeros=3, allocated nonzeros=3
155          total number of mallocs used during MatSetValues calls=0
156              block size is 1
157                KSP Object: (pc_hpddm_coarse_redundant_) 1 MPI process
158                  type: preonly
159                  maximum iterations=10000, initial guess is zero
160                  tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
161                  left preconditioning
162                  using NONE norm type for convergence test
163                PC Object: (pc_hpddm_coarse_redundant_) 1 MPI process
164                  type: cholesky
165                    out-of-place factorization
166                    tolerance for zero pivot 2.22045e-14
167                    matrix ordering: natural
168                    factor fill ratio given 5., needed 1.
169                      Factored matrix follows:
170                        Mat Object: (pc_hpddm_coarse_redundant_) 1 MPI process
171                          type: seqsbaij
172                          rows=2, cols=2
173                          package used to perform factorization: petsc
174                          total: nonzeros=3, allocated nonzeros=3
175                              block size is 1
176                  linear system matrix = precond matrix:
177                  Mat Object: 1 MPI process
178                    type: seqsbaij
179                    rows=2, cols=2
180                    total: nonzeros=3, allocated nonzeros=3
181                    total number of mallocs used during MatSetValues calls=0
182                        block size is 1
183    linear system matrix = precond matrix:
184    Mat Object: 4 MPI processes
185      type: mpiaij
186      rows=513, cols=513
187      total: nonzeros=4345, allocated nonzeros=4345
188      total number of mallocs used during MatSetValues calls=0
189        not using I-node (on process 0) routines
190