1  0 SNES Function norm 10.2781
2    0 KSP Residual norm 10.2527
3    1 KSP Residual norm 2.66547
4    2 KSP Residual norm 2.14954
5    3 KSP Residual norm 0.936704
6  Linear solve converged due to CONVERGED_RTOL iterations 3
7  1 SNES Function norm 1.3995
8    0 KSP Residual norm 0.936704
9    1 KSP Residual norm 0.56997
10    2 KSP Residual norm 0.452168
11    3 KSP Residual norm 0.37517
12    4 KSP Residual norm 0.321505
13    5 KSP Residual norm 0.228601
14    6 KSP Residual norm 0.0993375
15    7 KSP Residual norm 0.0431408
16  Linear solve converged due to CONVERGED_RTOL iterations 7
17  2 SNES Function norm 0.0726869
18    0 KSP Residual norm 0.0431408
19    1 KSP Residual norm 0.0274385
20    2 KSP Residual norm 0.0189555
21    3 KSP Residual norm 0.00937105
22    4 KSP Residual norm 0.00494458
23    5 KSP Residual norm 0.00282835
24  Linear solve converged due to CONVERGED_RTOL iterations 5
25  3 SNES Function norm 0.0109837
26    0 KSP Residual norm 0.00282835
27    1 KSP Residual norm 0.00207835
28    2 KSP Residual norm 0.00187177
29    3 KSP Residual norm 0.00143279
30    4 KSP Residual norm 0.00106782
31    5 KSP Residual norm 0.000569083
32    6 KSP Residual norm 0.000357915
33    7 KSP Residual norm 0.000258279
34  Linear solve converged due to CONVERGED_RTOL iterations 7
35  4 SNES Function norm 0.00175073
36    0 KSP Residual norm 0.000258279
37    1 KSP Residual norm 0.000218845
38    2 KSP Residual norm 0.000191138
39    3 KSP Residual norm 0.000118262
40    4 KSP Residual norm 6.13427e-05
41    5 KSP Residual norm 4.39412e-05
42    6 KSP Residual norm 2.57659e-05
43  Linear solve converged due to CONVERGED_RTOL iterations 6
44  5 SNES Function norm 5.28417e-05
45    0 KSP Residual norm 2.57659e-05
46    1 KSP Residual norm 1.71353e-05
47    2 KSP Residual norm 1.31089e-05
48    3 KSP Residual norm 8.7226e-06
49    4 KSP Residual norm 5.13095e-06
50    5 KSP Residual norm 3.49879e-06
51    6 KSP Residual norm 2.48189e-06
52  Linear solve converged due to CONVERGED_RTOL iterations 6
53  6 SNES Function norm 1.21325e-05
54    0 KSP Residual norm 2.48189e-06
55    1 KSP Residual norm 2.21913e-06
56    2 KSP Residual norm 1.6028e-06
57    3 KSP Residual norm 1.22505e-06
58    4 KSP Residual norm 8.16615e-07
59    5 KSP Residual norm 5.14292e-07
60    6 KSP Residual norm 3.18465e-07
61    7 KSP Residual norm 2.31207e-07
62  Linear solve converged due to CONVERGED_RTOL iterations 7
63  7 SNES Function norm 6.84681e-07
64    0 KSP Residual norm 2.31207e-07
65    1 KSP Residual norm 1.59653e-07
66    2 KSP Residual norm 8.91299e-08
67    3 KSP Residual norm 6.58494e-08
68    4 KSP Residual norm 3.97919e-08
69    5 KSP Residual norm 2.89634e-08
70    6 KSP Residual norm 1.89701e-08
71  Linear solve converged due to CONVERGED_RTOL iterations 6
72  8 SNES Function norm 1.188e-07
73    0 KSP Residual norm 1.89701e-08
74    1 KSP Residual norm 1.46063e-08
75    2 KSP Residual norm 1.19679e-08
76    3 KSP Residual norm 9.9971e-09
77    4 KSP Residual norm 6.14893e-09
78    5 KSP Residual norm 3.83795e-09
79    6 KSP Residual norm 2.62872e-09
80    7 KSP Residual norm 1.50313e-09
81  Linear solve converged due to CONVERGED_RTOL iterations 7
82  9 SNES Function norm 2.22137e-09
83L_2 Error: 0.000629252
84Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 9
85SNES Object: 4 MPI processes
86  type: newtonls
87  maximum iterations=50, maximum function evaluations=10000
88  tolerances: relative=1e-08, absolute=1e-50, solution=1e-08
89  total number of linear solver iterations=54
90  total number of function evaluations=10
91  norm schedule ALWAYS
92  SNESLineSearch Object: 4 MPI processes
93    type: bt
94      interpolation: cubic
95      alpha=1.000000e-04
96    maxstep=1.000000e+08, minlambda=1.000000e-12
97    tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08
98    maximum iterations=40
99  KSP Object: 4 MPI processes
100    type: gmres
101      restart=100, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement
102      happy breakdown tolerance 1e-30
103    maximum iterations=10000, initial guess is zero
104    tolerances:  relative=0.1, absolute=1e-50, divergence=10000.
105    left preconditioning
106    using PRECONDITIONED norm type for convergence test
107  PC Object: 4 MPI processes
108    type: hpddm
109    levels: 2
110    Neumann matrix attached? TRUE
111    coarse correction: deflated
112    on process #0, value (+ threshold if available) for selecting deflation vectors: 0 (0.1)
113    grid and operator complexities: 1.0039 1.00046
114    KSP Object: (pc_hpddm_levels_1_) 4 MPI processes
115      type: preonly
116      maximum iterations=10000, initial guess is zero
117      tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
118      left preconditioning
119      using NONE norm type for convergence test
120    PC Object: (pc_hpddm_levels_1_) 4 MPI processes
121      type: shell
122        no name
123      linear system matrix = precond matrix:
124      Mat Object: 4 MPI processes
125        type: mpiaij
126        rows=513, cols=513
127        total: nonzeros=4345, allocated nonzeros=4345
128        total number of mallocs used during MatSetValues calls=0
129          not using I-node (on process 0) routines
130    PC Object: (pc_hpddm_levels_1_) 4 MPI processes
131      type: bjacobi
132        number of blocks = 4
133        Local solver is the same for all blocks, as in the following KSP and PC objects on rank 0:
134      KSP Object: (pc_hpddm_levels_1_sub_) 1 MPI processes
135        type: preonly
136        maximum iterations=10000, initial guess is zero
137        tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
138        left preconditioning
139        using NONE norm type for convergence test
140      PC Object: (pc_hpddm_levels_1_sub_) 1 MPI processes
141        type: lu
142          out-of-place factorization
143          tolerance for zero pivot 2.22045e-14
144          matrix ordering: nd
145          factor fill ratio given 5., needed 1.9272
146            Factored matrix follows:
147              Mat Object: 1 MPI processes
148                type: seqaij
149                rows=109, cols=109
150                package used to perform factorization: petsc
151                total: nonzeros=1509, allocated nonzeros=1509
152                  not using I-node routines
153        linear system matrix = precond matrix:
154        Mat Object: 1 MPI processes
155          type: seqaij
156          rows=109, cols=109
157          total: nonzeros=783, allocated nonzeros=783
158          total number of mallocs used during MatSetValues calls=0
159            not using I-node routines
160      linear system matrix = precond matrix:
161      Mat Object: 4 MPI processes
162        type: mpiaij
163        rows=513, cols=513
164        total: nonzeros=4345, allocated nonzeros=4345
165        total number of mallocs used during MatSetValues calls=0
166          not using I-node (on process 0) routines
167      KSP Object: (pc_hpddm_coarse_) 2 MPI processes
168        type: preonly
169        maximum iterations=10000, initial guess is zero
170        tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
171        left preconditioning
172        using NONE norm type for convergence test
173      PC Object: (pc_hpddm_coarse_) 2 MPI processes
174        type: redundant
175          First (color=0) of 2 PCs follows
176        linear system matrix = precond matrix:
177        Mat Object: (pc_hpddm_coarse_) 2 MPI processes
178          type: mpisbaij
179          rows=2, cols=2
180          total: nonzeros=2, allocated nonzeros=2
181          total number of mallocs used during MatSetValues calls=0
182              block size is 1
183                KSP Object:       (pc_hpddm_coarse_redundant_)       1 MPI processes
184                  type: preonly
185                  maximum iterations=10000, initial guess is zero
186                  tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
187                  left preconditioning
188                  using NONE norm type for convergence test
189                PC Object:       (pc_hpddm_coarse_redundant_)       1 MPI processes
190                  type: cholesky
191                    out-of-place factorization
192                    tolerance for zero pivot 2.22045e-14
193                    matrix ordering: natural
194                    factor fill ratio given 5., needed 1.
195                      Factored matrix follows:
196                        Mat Object:       1 MPI processes
197                          type: seqsbaij
198                          rows=2, cols=2
199                          package used to perform factorization: petsc
200                          total: nonzeros=2, allocated nonzeros=2
201                              block size is 1
202                  linear system matrix = precond matrix:
203                  Mat Object:       1 MPI processes
204                    type: seqsbaij
205                    rows=2, cols=2
206                    total: nonzeros=2, allocated nonzeros=2
207                    total number of mallocs used during MatSetValues calls=0
208                        block size is 1
209    linear system matrix = precond matrix:
210    Mat Object: 4 MPI processes
211      type: mpiaij
212      rows=513, cols=513
213      total: nonzeros=4345, allocated nonzeros=4345
214      total number of mallocs used during MatSetValues calls=0
215        not using I-node (on process 0) routines
216