xref: /petsc/src/snes/tutorials/output/ex19_sell_sor.out (revision 70646cd191a02c3aba559ba717dac5da7a8a1e20)
1lid velocity = 0.0625, prandtl # = 1., grashof # = 1.
2  0 SNES Function norm 2.391552133017e-01
3    0 KSP Residual norm 2.897657436847e-01
4    1 KSP Residual norm 1.707173075176e-02
5    2 KSP Residual norm 6.405218762144e-03
6    3 KSP Residual norm 1.314118438538e-03
7    4 KSP Residual norm 2.530537469982e-04
8    5 KSP Residual norm 8.384858565615e-05
9    6 KSP Residual norm 1.667581529554e-05
10    7 KSP Residual norm 3.047472053480e-06
11    8 KSP Residual norm 3.176319008581e-07
12  1 SNES Function norm 6.833625209978e-05
13    0 KSP Residual norm 2.171349867503e-05
14    1 KSP Residual norm 1.876727209396e-06
15    2 KSP Residual norm 5.049137701209e-07
16    3 KSP Residual norm 1.270156346290e-07
17    4 KSP Residual norm 2.524572539168e-08
18    5 KSP Residual norm 3.953358266575e-09
19    6 KSP Residual norm 4.707984640669e-10
20    7 KSP Residual norm 9.073835182022e-11
21  2 SNES Function norm 3.064910055804e-10
22SNES Object: 1 MPI process
23  type: newtonls
24  maximum iterations=50, maximum function evaluations=10000
25  tolerances: relative=1e-08, absolute=1e-50, solution=1e-08
26  total number of linear solver iterations=15
27  total number of function evaluations=3
28  norm schedule ALWAYS
29  Jacobian is built using colored finite differences on a DMDA
30  SNESLineSearch Object: 1 MPI process
31    type: bt
32      interpolation: cubic
33      alpha=1.000000e-04
34    maxlambda=1.000000e+00, 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: 1 MPI process
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=1e-50, divergence=10000.
43    left preconditioning
44    using PRECONDITIONED norm type for convergence test
45  PC Object: 1 MPI process
46    type: sor
47      type = local_symmetric, iterations = 1, local iterations = 1, omega = 1.
48    linear system matrix = precond matrix:
49    Mat Object: 1 MPI process
50      type: seqsell
51      rows=64, cols=64, bs=4
52      total: nonzeros=1152, allocated nonzeros=1152
53      total number of mallocs used during MatSetValues calls=0
54Number of SNES iterations = 2
55