xref: /petsc/src/snes/tutorials/output/ex5_4_alt.out (revision 6a98f8dc3f2c9149905a87dc2e9d0fedaf64e09a)
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 4.6129e-06
8    Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 3
9    0 SNES Function norm 0.0763977
10    Linear solve converged due to CONVERGED_RTOL iterations 6
11    1 SNES Function norm 2.68517e-05
12    Linear solve converged due to CONVERGED_RTOL iterations 5
13    2 SNES Function norm 1.90304e-08
14  Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 2
15  0 SNES Function norm 0.0408394
16  Linear solve converged due to CONVERGED_RTOL iterations 6
17  1 SNES Function norm 9.67955e-07
18  Linear solve converged due to CONVERGED_RTOL iterations 4
19  2 SNES Function norm 3.74739e-08
20Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 2
21SNES Object: 2 MPI processes
22  type: newtonls
23  maximum iterations=50, maximum function evaluations=10000
24  tolerances: relative=1e-05, absolute=-1., solution=1e-05
25  total number of linear solver iterations=27
26  total number of function evaluations=10
27  norm schedule ALWAYS
28  total number of grid sequence refinements=2
29  Jacobian is built using a DMDA local Jacobian
30SNESLineSearch Object: 2 MPI processes
31    type: bt
32      interpolation: cubic
33      alpha=1.000000e-04
34    maxstep=1.000000e+08, minlambda=1.000000e-12
35    tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08
36    maximum iterations=40
37  KSP Object: 2 MPI processes
38    type: gmres
39      restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement
40      happy breakdown tolerance 1e-30
41    maximum iterations=10000, initial guess is zero
42    tolerances:  relative=1e-05, absolute=-1., divergence=10000.
43    left preconditioning
44    using PRECONDITIONED norm type for convergence test
45  PC Object: 2 MPI processes
46    type: mg
47      type is MULTIPLICATIVE, levels=3 cycles=v
48        Cycles per PCApply=1
49        Not using Galerkin computed coarse grid matrices
50    Coarse grid solver -- level -------------------------------
51      KSP Object: (mg_coarse_) 2 MPI processes
52        type: preonly
53        maximum iterations=10000, initial guess is zero
54        tolerances:  relative=1e-05, absolute=1e-25, divergence=10000.
55        left preconditioning
56        using NONE norm type for convergence test
57      PC Object: (mg_coarse_) 2 MPI processes
58        type: redundant
59          First (color=0) of 2 PCs follows
60          KSP Object: (mg_coarse_redundant_) 1 MPI processes
61            type: preonly
62            maximum iterations=10000, initial guess is zero
63            tolerances:  relative=1e-05, absolute=1e-25, divergence=10000.
64            left preconditioning
65            using NONE norm type for convergence test
66          PC Object: (mg_coarse_redundant_) 1 MPI processes
67            type: lu
68              out-of-place factorization
69              tolerance for zero pivot 1.19209e-05
70              using diagonal shift on blocks to prevent zero pivot [INBLOCKS]
71              matrix ordering: nd
72              factor fill ratio given 5., needed 1.875
73                Factored matrix follows:
74                  Mat Object: 1 MPI processes
75                    type: seqaij
76                    rows=16, cols=16
77                    package used to perform factorization: petsc
78                    total: nonzeros=120, allocated nonzeros=120
79                    total number of mallocs used during MatSetValues calls=0
80                      using I-node routines: found 12 nodes, limit used is 5
81            linear system matrix = precond matrix:
82            Mat Object: 1 MPI processes
83              type: seqaij
84              rows=16, cols=16
85              total: nonzeros=64, allocated nonzeros=64
86              total number of mallocs used during MatSetValues calls=0
87                not using I-node routines
88        linear system matrix = precond matrix:
89        Mat Object: 2 MPI processes
90          type: mpiaij
91          rows=16, cols=16
92          total: nonzeros=64, allocated nonzeros=64
93          total number of mallocs used during MatSetValues calls=0
94    Down solver (pre-smoother) on level 1 -------------------------------
95      KSP Object: (mg_levels_1_) 2 MPI processes
96        type: chebyshev
97          eigenvalue estimates used:  min = 0.128728, max = 1.41601
98          eigenvalues estimate via gmres min 0.220123, max 1.28728
99          eigenvalues estimated using gmres with translations  [0. 0.1; 0. 1.1]
100          KSP Object: (mg_levels_1_esteig_) 2 MPI processes
101            type: gmres
102              restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement
103              happy breakdown tolerance 1e-30
104            maximum iterations=10, initial guess is zero
105            tolerances:  relative=1e-12, absolute=1e-25, divergence=10000.
106            left preconditioning
107            using PRECONDITIONED norm type for convergence test
108          estimating eigenvalues using noisy right hand side
109        maximum iterations=2, nonzero initial guess
110        tolerances:  relative=1e-05, absolute=1e-25, divergence=10000.
111        left preconditioning
112        using NONE norm type for convergence test
113      PC Object: (mg_levels_1_) 2 MPI processes
114        type: sor
115          type = local_symmetric, iterations = 1, local iterations = 1, omega = 1.
116        linear system matrix = precond matrix:
117        Mat Object: 2 MPI processes
118          type: mpiaij
119          rows=49, cols=49
120          total: nonzeros=217, allocated nonzeros=217
121          total number of mallocs used during MatSetValues calls=0
122    Up solver (post-smoother) same as down solver (pre-smoother)
123    Down solver (pre-smoother) on level 2 -------------------------------
124      KSP Object: (mg_levels_2_) 2 MPI processes
125        type: chebyshev
126          eigenvalue estimates used:  min = 0.12637, max = 1.39007
127          eigenvalues estimate via gmres min 0.0725255, max 1.2637
128          eigenvalues estimated using gmres with translations  [0. 0.1; 0. 1.1]
129          KSP Object: (mg_levels_2_esteig_) 2 MPI processes
130            type: gmres
131              restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement
132              happy breakdown tolerance 1e-30
133            maximum iterations=10, initial guess is zero
134            tolerances:  relative=1e-12, absolute=1e-25, divergence=10000.
135            left preconditioning
136            using PRECONDITIONED norm type for convergence test
137          estimating eigenvalues using noisy right hand side
138        maximum iterations=2, nonzero initial guess
139        tolerances:  relative=1e-05, absolute=1e-25, divergence=10000.
140        left preconditioning
141        using NONE norm type for convergence test
142      PC Object: (mg_levels_2_) 2 MPI processes
143        type: sor
144          type = local_symmetric, iterations = 1, local iterations = 1, omega = 1.
145        linear system matrix = precond matrix:
146        Mat Object: 2 MPI processes
147          type: mpiaij
148          rows=169, cols=169
149          total: nonzeros=793, allocated nonzeros=793
150          total number of mallocs used during MatSetValues calls=0
151    Up solver (post-smoother) same as down solver (pre-smoother)
152    linear system matrix = precond matrix:
153    Mat Object: 2 MPI processes
154      type: mpiaij
155      rows=169, cols=169
156      total: nonzeros=793, allocated nonzeros=793
157      total number of mallocs used during MatSetValues calls=0
158