xref: /petsc/src/snes/tutorials/output/ex5_4.out (revision 2da392cc7c10228af19ad9843ce5155178acb644)
1      0 SNES Function norm 0.995735
2      Linear solve converged due to CONVERGED_RTOL iterations 2
3      1 SNES Function norm 0.276938
4      Linear solve converged due to CONVERGED_RTOL iterations 2
5      2 SNES Function norm 0.00668678
6      Linear solve converged due to CONVERGED_RTOL iterations 2
7      3 SNES Function norm 4.61503e-06
8      Linear solve converged due to CONVERGED_RTOL iterations 2
9      4 SNES Function norm < 1.e-11
10    Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 4
11    0 SNES Function norm 0.0763997
12    Linear solve converged due to CONVERGED_RTOL iterations 6
13    1 SNES Function norm 2.68503e-05
14    Linear solve converged due to CONVERGED_RTOL iterations 5
15    2 SNES Function norm 6.777e-10
16  Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 2
17  0 SNES Function norm 0.0408394
18  Linear solve converged due to CONVERGED_RTOL iterations 6
19  1 SNES Function norm 9.57612e-07
20  Linear solve converged due to CONVERGED_RTOL iterations 4
21  2 SNES Function norm 2.903e-10
22Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 2
23SNES Object: 2 MPI processes
24  type: newtonls
25  maximum iterations=50, maximum function evaluations=10000
26  tolerances: relative=1e-08, absolute=-1., solution=1e-08
27  total number of linear solver iterations=29
28  total number of function evaluations=11
29  norm schedule ALWAYS
30  total number of grid sequence refinements=2
31  Jacobian is built using a DMDA local Jacobian
32SNESLineSearch Object: 2 MPI processes
33    type: bt
34      interpolation: cubic
35      alpha=1.000000e-04
36    maxstep=1.000000e+08, minlambda=1.000000e-12
37    tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08
38    maximum iterations=40
39  KSP Object: 2 MPI processes
40    type: gmres
41      restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement
42      happy breakdown tolerance 1e-30
43    maximum iterations=10000, initial guess is zero
44    tolerances:  relative=1e-05, absolute=-1., divergence=10000.
45    left preconditioning
46    using PRECONDITIONED norm type for convergence test
47  PC Object: 2 MPI processes
48    type: mg
49      type is MULTIPLICATIVE, levels=3 cycles=v
50        Cycles per PCApply=1
51        Not using Galerkin computed coarse grid matrices
52    Coarse grid solver -- level -------------------------------
53      KSP Object: (mg_coarse_) 2 MPI processes
54        type: preonly
55        maximum iterations=10000, initial guess is zero
56        tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
57        left preconditioning
58        using NONE norm type for convergence test
59      PC Object: (mg_coarse_) 2 MPI processes
60        type: redundant
61          First (color=0) of 2 PCs follows
62          KSP Object: (mg_coarse_redundant_) 1 MPI processes
63            type: preonly
64            maximum iterations=10000, initial guess is zero
65            tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
66            left preconditioning
67            using NONE norm type for convergence test
68          PC Object: (mg_coarse_redundant_) 1 MPI processes
69            type: lu
70              out-of-place factorization
71              tolerance for zero pivot 2.22045e-14
72              using diagonal shift on blocks to prevent zero pivot [INBLOCKS]
73              matrix ordering: nd
74              factor fill ratio given 5., needed 1.875
75                Factored matrix follows:
76                  Mat Object: 1 MPI processes
77                    type: seqaij
78                    rows=16, cols=16
79                    package used to perform factorization: petsc
80                    total: nonzeros=120, allocated nonzeros=120
81                      using I-node routines: found 12 nodes, limit used is 5
82            linear system matrix = precond matrix:
83            Mat Object: 1 MPI processes
84              type: seqaij
85              rows=16, cols=16
86              total: nonzeros=64, allocated nonzeros=64
87              total number of mallocs used during MatSetValues calls=0
88                not using I-node routines
89        linear system matrix = precond matrix:
90        Mat Object: 2 MPI processes
91          type: mpiaij
92          rows=16, cols=16
93          total: nonzeros=64, allocated nonzeros=64
94          total number of mallocs used during MatSetValues calls=0
95    Down solver (pre-smoother) on level 1 -------------------------------
96      KSP Object: (mg_levels_1_) 2 MPI processes
97        type: chebyshev
98          eigenvalue estimates used:  min = 0.12873, max = 1.41603
99          eigenvalues estimate via gmres min 0.220123, max 1.2873
100          eigenvalues estimated using gmres with translations  [0. 0.1; 0. 1.1]
101          KSP Object: (mg_levels_1_esteig_) 2 MPI processes
102            type: gmres
103              restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement
104              happy breakdown tolerance 1e-30
105            maximum iterations=10, initial guess is zero
106            tolerances:  relative=1e-12, absolute=1e-50, divergence=10000.
107            left preconditioning
108            using PRECONDITIONED norm type for convergence test
109          estimating eigenvalues using noisy right hand side
110        maximum iterations=2, nonzero initial guess
111        tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
112        left preconditioning
113        using NONE norm type for convergence test
114      PC Object: (mg_levels_1_) 2 MPI processes
115        type: sor
116          type = local_symmetric, iterations = 1, local iterations = 1, omega = 1.
117        linear system matrix = precond matrix:
118        Mat Object: 2 MPI processes
119          type: mpiaij
120          rows=49, cols=49
121          total: nonzeros=217, allocated nonzeros=217
122          total number of mallocs used during MatSetValues calls=0
123    Up solver (post-smoother) same as down solver (pre-smoother)
124    Down solver (pre-smoother) on level 2 -------------------------------
125      KSP Object: (mg_levels_2_) 2 MPI processes
126        type: chebyshev
127          eigenvalue estimates used:  min = 0.12637, max = 1.39007
128          eigenvalues estimate via gmres min 0.0725255, max 1.2637
129          eigenvalues estimated using gmres with translations  [0. 0.1; 0. 1.1]
130          KSP Object: (mg_levels_2_esteig_) 2 MPI processes
131            type: gmres
132              restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement
133              happy breakdown tolerance 1e-30
134            maximum iterations=10, initial guess is zero
135            tolerances:  relative=1e-12, absolute=1e-50, divergence=10000.
136            left preconditioning
137            using PRECONDITIONED norm type for convergence test
138          estimating eigenvalues using noisy right hand side
139        maximum iterations=2, nonzero initial guess
140        tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
141        left preconditioning
142        using NONE norm type for convergence test
143      PC Object: (mg_levels_2_) 2 MPI processes
144        type: sor
145          type = local_symmetric, iterations = 1, local iterations = 1, omega = 1.
146        linear system matrix = precond matrix:
147        Mat Object: 2 MPI processes
148          type: mpiaij
149          rows=169, cols=169
150          total: nonzeros=793, allocated nonzeros=793
151          total number of mallocs used during MatSetValues calls=0
152    Up solver (post-smoother) same as down solver (pre-smoother)
153    linear system matrix = precond matrix:
154    Mat Object: 2 MPI processes
155      type: mpiaij
156      rows=169, cols=169
157      total: nonzeros=793, allocated nonzeros=793
158      total number of mallocs used during MatSetValues calls=0
159