xref: /petsc/src/snes/tutorials/output/ex19_tut_8.out (revision c87ba875e4007ad659b117ea274f03d5f4cd5ea7)
1lid velocity = 0.000106281, prandtl # = 1., grashof # = 1.
2  0 SNES Function norm 1.036007954337e-02
3    0 KSP Residual norm 4.386611885521e-01
4    1 KSP Residual norm 3.127838547648e-01
5    2 KSP Residual norm 2.334238799976e-01
6    3 KSP Residual norm 1.318350769046e-01
7    4 KSP Residual norm 8.143004995277e-02
8    5 KSP Residual norm 4.813457707703e-02
9    6 KSP Residual norm 2.733719484710e-02
10    7 KSP Residual norm 1.462151166610e-02
11    8 KSP Residual norm 8.331275159714e-03
12    9 KSP Residual norm 5.275884606772e-03
13   10 KSP Residual norm 3.768690746652e-03
14   11 KSP Residual norm 2.699365250849e-03
15   12 KSP Residual norm 1.824681696989e-03
16   13 KSP Residual norm 1.179126381375e-03
17   14 KSP Residual norm 7.107306905422e-04
18   15 KSP Residual norm 4.155820345074e-04
19   16 KSP Residual norm 2.408438645714e-04
20   17 KSP Residual norm 1.476855736514e-04
21   18 KSP Residual norm 9.907578845784e-05
22   19 KSP Residual norm 6.797328938557e-05
23   20 KSP Residual norm 4.675944545290e-05
24   21 KSP Residual norm 3.352583819988e-05
25   22 KSP Residual norm 2.441653843583e-05
26   23 KSP Residual norm 1.768579774951e-05
27   24 KSP Residual norm 1.411236998154e-05
28   25 KSP Residual norm 1.062751951795e-05
29   26 KSP Residual norm 7.402652132828e-06
30   27 KSP Residual norm 5.376101942565e-06
31   28 KSP Residual norm 3.936750059583e-06
32  1 SNES Function norm 1.539897001872e-06
33    0 KSP Residual norm 1.219799734452e-05
34    1 KSP Residual norm 9.351061917402e-06
35    2 KSP Residual norm 5.158749230924e-06
36    3 KSP Residual norm 3.800583255559e-06
37    4 KSP Residual norm 3.358178466662e-06
38    5 KSP Residual norm 2.704711328549e-06
39    6 KSP Residual norm 1.965512422061e-06
40    7 KSP Residual norm 1.383231224585e-06
41    8 KSP Residual norm 1.016838426400e-06
42    9 KSP Residual norm 7.817076853999e-07
43   10 KSP Residual norm 5.714787985538e-07
44   11 KSP Residual norm 4.070517298179e-07
45   12 KSP Residual norm 3.199366855723e-07
46   13 KSP Residual norm 2.498338700906e-07
47   14 KSP Residual norm 1.774654138694e-07
48   15 KSP Residual norm 1.220894443119e-07
49   16 KSP Residual norm 8.191467113032e-08
50   17 KSP Residual norm 5.471425416521e-08
51   18 KSP Residual norm 3.800399846106e-08
52   19 KSP Residual norm 2.624332673801e-08
53   20 KSP Residual norm 1.817665454829e-08
54   21 KSP Residual norm 1.193934944948e-08
55   22 KSP Residual norm 7.058845517318e-09
56   23 KSP Residual norm 4.801132366324e-09
57   24 KSP Residual norm 3.136888134931e-09
58   25 KSP Residual norm 1.908878704398e-09
59   26 KSP Residual norm 1.179297203589e-09
60   27 KSP Residual norm 7.450436712605e-10
61   28 KSP Residual norm 4.727201847673e-10
62   29 KSP Residual norm 3.071103410289e-10
63   30 KSP Residual norm 1.954558918512e-10
64   31 KSP Residual norm 1.476035656576e-10
65   32 KSP Residual norm 9.544641423593e-11
66  2 SNES Function norm 2.155536219955e-11
67SNES Object: 4 MPI processes
68  type: newtonls
69  maximum iterations=50, maximum function evaluations=10000
70  tolerances: relative=1e-08, absolute=1e-50, solution=1e-08
71  total number of linear solver iterations=60
72  total number of function evaluations=3
73  norm schedule ALWAYS
74  Jacobian is built using colored finite differences on a DMDA
75  SNESLineSearch Object: 4 MPI processes
76    type: bt
77      interpolation: cubic
78      alpha=1.000000e-04
79    maxstep=1.000000e+08, minlambda=1.000000e-12
80    tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08
81    maximum iterations=40
82  KSP Object: 4 MPI processes
83    type: gmres
84      restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement
85      happy breakdown tolerance 1e-30
86    maximum iterations=10000, initial guess is zero
87    tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
88    left preconditioning
89    using PRECONDITIONED norm type for convergence test
90  PC Object: 4 MPI processes
91    type: ml
92      type is MULTIPLICATIVE, levels=5 cycles=v
93        Cycles per PCApply=1
94        Using externally compute Galerkin coarse grid matrices
95    Coarse grid solver -- level -------------------------------
96      KSP Object: (mg_coarse_) 4 MPI processes
97        type: preonly
98        maximum iterations=10000, initial guess is zero
99        tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
100        left preconditioning
101        using NONE norm type for convergence test
102      PC Object: (mg_coarse_) 4 MPI processes
103        type: redundant
104          First (color=0) of 4 PCs follows
105          KSP Object: (mg_coarse_redundant_) 1 MPI processes
106            type: preonly
107            maximum iterations=10000, initial guess is zero
108            tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
109            left preconditioning
110            using NONE norm type for convergence test
111          PC Object: (mg_coarse_redundant_) 1 MPI processes
112            type: lu
113              out-of-place factorization
114              tolerance for zero pivot 2.22045e-14
115              using diagonal shift on blocks to prevent zero pivot [INBLOCKS]
116              matrix ordering: nd
117              factor fill ratio given 5., needed 1.
118                Factored matrix follows:
119                  Mat Object: 1 MPI processes
120                    type: seqaij
121                    rows=16, cols=16, bs=4
122                    package used to perform factorization: petsc
123                    total: nonzeros=256, allocated nonzeros=256
124                    total number of mallocs used during MatSetValues calls=0
125                      using I-node routines: found 4 nodes, limit used is 5
126            linear system matrix = precond matrix:
127            Mat Object: 1 MPI processes
128              type: seqaij
129              rows=16, cols=16, bs=4
130              total: nonzeros=256, allocated nonzeros=256
131              total number of mallocs used during MatSetValues calls=0
132                using I-node routines: found 4 nodes, limit used is 5
133        linear system matrix = precond matrix:
134        Mat Object: 4 MPI processes
135          type: mpiaij
136          rows=16, cols=16, bs=4
137          total: nonzeros=256, allocated nonzeros=256
138          total number of mallocs used during MatSetValues calls=0
139            using I-node (on process 0) routines: found 1 nodes, limit used is 5
140    Down solver (pre-smoother) on level 1 -------------------------------
141      KSP Object: (mg_levels_1_) 4 MPI processes
142        type: richardson
143          damping factor=1.
144        maximum iterations=2, nonzero initial guess
145        tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
146        left preconditioning
147        using NONE norm type for convergence test
148      PC Object: (mg_levels_1_) 4 MPI processes
149        type: sor
150          type = local_symmetric, iterations = 1, local iterations = 1, omega = 1.
151        linear system matrix = precond matrix:
152        Mat Object: 4 MPI processes
153          type: mpiaij
154          rows=88, cols=88, bs=4
155          total: nonzeros=4896, allocated nonzeros=4896
156          total number of mallocs used during MatSetValues calls=0
157            using I-node (on process 0) routines: found 5 nodes, limit used is 5
158    Up solver (post-smoother) same as down solver (pre-smoother)
159    Down solver (pre-smoother) on level 2 -------------------------------
160      KSP Object: (mg_levels_2_) 4 MPI processes
161        type: richardson
162          damping factor=1.
163        maximum iterations=2, nonzero initial guess
164        tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
165        left preconditioning
166        using NONE norm type for convergence test
167      PC Object: (mg_levels_2_) 4 MPI processes
168        type: sor
169          type = local_symmetric, iterations = 1, local iterations = 1, omega = 1.
170        linear system matrix = precond matrix:
171        Mat Object: 4 MPI processes
172          type: mpiaij
173          rows=772, cols=772, bs=4
174          total: nonzeros=35364, allocated nonzeros=35364
175          total number of mallocs used during MatSetValues calls=0
176            using I-node (on process 0) routines: found 56 nodes, limit used is 5
177    Up solver (post-smoother) same as down solver (pre-smoother)
178    Down solver (pre-smoother) on level 3 -------------------------------
179      KSP Object: (mg_levels_3_) 4 MPI processes
180        type: richardson
181          damping factor=1.
182        maximum iterations=2, nonzero initial guess
183        tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
184        left preconditioning
185        using NONE norm type for convergence test
186      PC Object: (mg_levels_3_) 4 MPI processes
187        type: sor
188          type = local_symmetric, iterations = 1, local iterations = 1, omega = 1.
189        linear system matrix = precond matrix:
190        Mat Object: 4 MPI processes
191          type: mpiaij
192          rows=7156, cols=7156, bs=4
193          total: nonzeros=258241, allocated nonzeros=258241
194          total number of mallocs used during MatSetValues calls=0
195            not using I-node (on process 0) routines
196    Up solver (post-smoother) same as down solver (pre-smoother)
197    Down solver (pre-smoother) on level 4 -------------------------------
198      KSP Object: (mg_levels_4_) 4 MPI processes
199        type: richardson
200          damping factor=1.
201        maximum iterations=2, nonzero initial guess
202        tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
203        left preconditioning
204        using NONE norm type for convergence test
205      PC Object: (mg_levels_4_) 4 MPI processes
206        type: sor
207          type = local_symmetric, iterations = 1, local iterations = 1, omega = 1.
208        linear system matrix = precond matrix:
209        Mat Object: 4 MPI processes
210          type: mpiaij
211          rows=37636, cols=37636, bs=4
212          total: nonzeros=746512, allocated nonzeros=746512
213          total number of mallocs used during MatSetValues calls=0
214    Up solver (post-smoother) same as down solver (pre-smoother)
215    linear system matrix = precond matrix:
216    Mat Object: 4 MPI processes
217      type: mpiaij
218      rows=37636, cols=37636, bs=4
219      total: nonzeros=746512, allocated nonzeros=746512
220      total number of mallocs used during MatSetValues calls=0
221Number of SNES iterations = 2
222