xref: /petsc/src/snes/tutorials/output/ex19_euclid.out (revision d52a580b706c59ca78066c1e38754e45b6b56e2b)
1lid velocity = 0.00591716, prandtl # = 1., grashof # = 1.
2  0 SNES Function norm 7.886953101160e-02
3    0 KSP Residual norm 2.754102663898e-01
4    1 KSP Residual norm 8.374009197213e-02
5    2 KSP Residual norm 4.018223292693e-02
6    3 KSP Residual norm 1.677834401155e-02
7    4 KSP Residual norm 4.476029438360e-03
8    5 KSP Residual norm 1.025840243919e-03
9    6 KSP Residual norm 4.022357818991e-04
10    7 KSP Residual norm 2.543747778918e-04
11    8 KSP Residual norm 8.540014712610e-05
12    9 KSP Residual norm 5.496642692116e-05
13   10 KSP Residual norm 3.340068673232e-05
14   11 KSP Residual norm 1.322987879776e-05
15   12 KSP Residual norm 2.939380065134e-06
16   13 KSP Residual norm 1.488066255071e-06
17  1 SNES Function norm 7.181051023019e-06
18    0 KSP Residual norm 1.056460158451e-05
19    1 KSP Residual norm 4.460590766280e-06
20    2 KSP Residual norm 2.114746104895e-06
21    3 KSP Residual norm 9.153484531224e-07
22    4 KSP Residual norm 4.666515679608e-07
23    5 KSP Residual norm 2.856533172914e-07
24    6 KSP Residual norm 1.565805641773e-07
25    7 KSP Residual norm 3.864244279571e-08
26    8 KSP Residual norm 6.898876387826e-09
27    9 KSP Residual norm 2.625970810327e-09
28   10 KSP Residual norm 2.083482397126e-09
29   11 KSP Residual norm 1.008559626953e-09
30   12 KSP Residual norm 2.756919034662e-10
31   13 KSP Residual norm 1.105279407239e-10
32   14 KSP Residual norm 2.780930431919e-11
33  2 SNES Function norm 2.925428958045e-11
34SNES Object: 2 MPI processes
35  type: newtonls
36  maximum iterations=50, maximum function evaluations=10000
37  tolerances: relative=1e-08, absolute=1e-50, solution=1e-08
38  total number of linear solver iterations=27
39  total number of function evaluations=3
40  norm schedule ALWAYS
41  Jacobian is built using colored finite differences on a DMDA
42  SNESLineSearch Object: 2 MPI processes
43    type: bt
44      interpolation: cubic
45      alpha=1.000000e-04
46    maxlambda=1.000000e+00, minlambda=1.000000e-12
47    tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08
48    maximum iterations=40
49  KSP Object: 2 MPI processes
50    type: gmres
51      restart=30, using classical (unmodified) Gram-Schmidt orthogonalization with no iterative refinement
52      happy breakdown tolerance=1e-30
53    maximum iterations=10000, initial guess is zero
54    tolerances: relative=1e-05, absolute=1e-50, divergence=10000.
55    left preconditioning
56    using PRECONDITIONED norm type for convergence test
57  PC Object: 2 MPI processes
58    type: hypre
59      HYPRE Euclid preconditioning
60        default factorization levels
61        drop tolerance 0.
62        use Block-Jacobi? 0
63    linear system matrix, which is also used to construct the preconditioner:
64    Mat Object: 2 MPI processes
65      type: mpiaij
66      rows=676, cols=676, bs=4
67      total: nonzeros=12688, allocated nonzeros=12688
68      total number of mallocs used during MatSetValues calls=0
69Number of SNES iterations = 2
70