xref: /petsc/src/snes/tutorials/output/ex19_tut_8.out (revision fbf9dbe564678ed6eff1806adbc4c4f01b9743f4)
1lid velocity = 0.000106281, prandtl # = 1., grashof # = 1.
2  0 SNES Function norm 1.036007954337e-02
3    0 KSP Residual norm 4.888657920112e-01
4    1 KSP Residual norm 3.141627616286e-01
5    2 KSP Residual norm 2.358812378525e-01
6    3 KSP Residual norm 1.259045437573e-01
7    4 KSP Residual norm 7.408575133258e-02
8    5 KSP Residual norm 4.159658325629e-02
9    6 KSP Residual norm 2.181861584091e-02
10    7 KSP Residual norm 1.076244407256e-02
11    8 KSP Residual norm 5.242924144023e-03
12    9 KSP Residual norm 2.588726461570e-03
13   10 KSP Residual norm 1.400700093556e-03
14   11 KSP Residual norm 7.759158101290e-04
15   12 KSP Residual norm 4.655744671687e-04
16   13 KSP Residual norm 3.244240900196e-04
17   14 KSP Residual norm 2.327144448481e-04
18   15 KSP Residual norm 1.500951563875e-04
19   16 KSP Residual norm 8.327955132177e-05
20   17 KSP Residual norm 4.672468799190e-05
21   18 KSP Residual norm 2.889321996959e-05
22   19 KSP Residual norm 1.903514112532e-05
23   20 KSP Residual norm 1.298123631775e-05
24   21 KSP Residual norm 8.775705379722e-06
25   22 KSP Residual norm 5.330175482523e-06
26   23 KSP Residual norm 2.869775929854e-06
27  1 SNES Function norm 1.370527153606e-06
28    0 KSP Residual norm 1.177060567864e-05
29    1 KSP Residual norm 6.928128579778e-06
30    2 KSP Residual norm 4.304601930959e-06
31    3 KSP Residual norm 2.454875323346e-06
32    4 KSP Residual norm 1.512790232898e-06
33    5 KSP Residual norm 1.001915525185e-06
34    6 KSP Residual norm 7.387623107528e-07
35    7 KSP Residual norm 4.953711915641e-07
36    8 KSP Residual norm 3.144821641519e-07
37    9 KSP Residual norm 2.134819078071e-07
38   10 KSP Residual norm 1.518551249827e-07
39   11 KSP Residual norm 1.014185303569e-07
40   12 KSP Residual norm 5.608673008996e-08
41   13 KSP Residual norm 3.030519067648e-08
42   14 KSP Residual norm 1.786947998191e-08
43   15 KSP Residual norm 1.177816744649e-08
44   16 KSP Residual norm 8.997335866987e-09
45   17 KSP Residual norm 6.356106556680e-09
46   18 KSP Residual norm 4.147037399694e-09
47   19 KSP Residual norm 2.711154831563e-09
48   20 KSP Residual norm 1.750865415567e-09
49   21 KSP Residual norm 1.127681613823e-09
50   22 KSP Residual norm 7.783034009647e-10
51   23 KSP Residual norm 5.047971816405e-10
52   24 KSP Residual norm 3.137090395920e-10
53   25 KSP Residual norm 2.182629803057e-10
54   26 KSP Residual norm 1.265836293994e-10
55   27 KSP Residual norm 7.756916170515e-11
56  2 SNES Function norm 2.339734806142e-11
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=50
62  total number of function evaluations=3
63  norm schedule ALWAYS
64  Jacobian is built using colored finite differences on a DMDA
65  SNESLineSearch Object: 4 MPI processes
66    type: bt
67      interpolation: cubic
68      alpha=1.000000e-04
69    maxstep=1.000000e+08, minlambda=1.000000e-12
70    tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08
71    maximum iterations=40
72  KSP Object: 4 MPI processes
73    type: gmres
74      restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement
75      happy breakdown tolerance 1e-30
76    maximum iterations=10000, initial guess is zero
77    tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
78    left preconditioning
79    using PRECONDITIONED norm type for convergence test
80  PC Object: 4 MPI processes
81    type: ml
82      type is MULTIPLICATIVE, levels=5 cycles=v
83        Cycles per PCApply=1
84        Using externally compute Galerkin coarse grid matrices
85    Coarse grid solver -- level 0 -------------------------------
86      KSP Object: (mg_coarse_) 4 MPI processes
87        type: preonly
88        maximum iterations=10000, initial guess is zero
89        tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
90        left preconditioning
91        using NONE norm type for convergence test
92      PC Object: (mg_coarse_) 4 MPI processes
93        type: redundant
94          First (color=0) of 4 PCs follows
95          KSP Object: (mg_coarse_redundant_) 1 MPI process
96            type: preonly
97            maximum iterations=10000, initial guess is zero
98            tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
99            left preconditioning
100            using NONE norm type for convergence test
101          PC Object: (mg_coarse_redundant_) 1 MPI process
102            type: lu
103              out-of-place factorization
104              tolerance for zero pivot 2.22045e-14
105              using diagonal shift on blocks to prevent zero pivot [INBLOCKS]
106              matrix ordering: nd
107              factor fill ratio given 5., needed 1.
108                Factored matrix follows:
109                  Mat Object: (mg_coarse_redundant_) 1 MPI process
110                    type: seqaij
111                    rows=16, cols=16, bs=4
112                    package used to perform factorization: petsc
113                    total: nonzeros=256, allocated nonzeros=256
114                      using I-node routines: found 4 nodes, limit used is 5
115            linear system matrix = precond matrix:
116            Mat Object: 1 MPI process
117              type: seqaij
118              rows=16, cols=16, bs=4
119              total: nonzeros=256, allocated nonzeros=256
120              total number of mallocs used during MatSetValues calls=0
121                using I-node routines: found 4 nodes, limit used is 5
122        linear system matrix = precond matrix:
123        Mat Object: 4 MPI processes
124          type: mpiaij
125          rows=16, cols=16, bs=4
126          total: nonzeros=256, allocated nonzeros=256
127          total number of mallocs used during MatSetValues calls=0
128            using I-node (on process 0) routines: found 1 nodes, limit used is 5
129    Down solver (pre-smoother) on level 1 -------------------------------
130      KSP Object: (mg_levels_1_) 4 MPI processes
131        type: richardson
132          damping factor=1.
133        maximum iterations=2, nonzero initial guess
134        tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
135        left preconditioning
136        using NONE norm type for convergence test
137      PC Object: (mg_levels_1_) 4 MPI processes
138        type: sor
139          type = local_symmetric, iterations = 1, local iterations = 1, omega = 1.
140        linear system matrix = precond matrix:
141        Mat Object: 4 MPI processes
142          type: mpiaij
143          rows=88, cols=88, bs=4
144          total: nonzeros=4960, allocated nonzeros=4960
145          total number of mallocs used during MatSetValues calls=0
146            using I-node (on process 0) routines: found 4 nodes, limit used is 5
147    Up solver (post-smoother) same as down solver (pre-smoother)
148    Down solver (pre-smoother) on level 2 -------------------------------
149      KSP Object: (mg_levels_2_) 4 MPI processes
150        type: richardson
151          damping factor=1.
152        maximum iterations=2, nonzero initial guess
153        tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
154        left preconditioning
155        using NONE norm type for convergence test
156      PC Object: (mg_levels_2_) 4 MPI processes
157        type: sor
158          type = local_symmetric, iterations = 1, local iterations = 1, omega = 1.
159        linear system matrix = precond matrix:
160        Mat Object: 4 MPI processes
161          type: mpiaij
162          rows=764, cols=764, bs=4
163          total: nonzeros=35672, allocated nonzeros=35672
164          total number of mallocs used during MatSetValues calls=0
165            using I-node (on process 0) routines: found 50 nodes, limit used is 5
166    Up solver (post-smoother) same as down solver (pre-smoother)
167    Down solver (pre-smoother) on level 3 -------------------------------
168      KSP Object: (mg_levels_3_) 4 MPI processes
169        type: richardson
170          damping factor=1.
171        maximum iterations=2, nonzero initial guess
172        tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
173        left preconditioning
174        using NONE norm type for convergence test
175      PC Object: (mg_levels_3_) 4 MPI processes
176        type: sor
177          type = local_symmetric, iterations = 1, local iterations = 1, omega = 1.
178        linear system matrix = precond matrix:
179        Mat Object: 4 MPI processes
180          type: mpiaij
181          rows=7156, cols=7156, bs=4
182          total: nonzeros=259236, allocated nonzeros=259236
183          total number of mallocs used during MatSetValues calls=0
184            not using I-node (on process 0) routines
185    Up solver (post-smoother) same as down solver (pre-smoother)
186    Down solver (pre-smoother) on level 4 -------------------------------
187      KSP Object: (mg_levels_4_) 4 MPI processes
188        type: richardson
189          damping factor=1.
190        maximum iterations=2, nonzero initial guess
191        tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
192        left preconditioning
193        using NONE norm type for convergence test
194      PC Object: (mg_levels_4_) 4 MPI processes
195        type: sor
196          type = local_symmetric, iterations = 1, local iterations = 1, omega = 1.
197        linear system matrix = precond matrix:
198        Mat Object: 4 MPI processes
199          type: mpiaij
200          rows=37636, cols=37636, bs=4
201          total: nonzeros=746512, allocated nonzeros=746512
202          total number of mallocs used during MatSetValues calls=0
203    Up solver (post-smoother) same as down solver (pre-smoother)
204    linear system matrix = precond matrix:
205    Mat Object: 4 MPI processes
206      type: mpiaij
207      rows=37636, cols=37636, bs=4
208      total: nonzeros=746512, allocated nonzeros=746512
209      total number of mallocs used during MatSetValues calls=0
210Number of SNES iterations = 2
211