1  0 SNES Function norm 95.2794
2    1 SNES Function norm 11.2562
3      0 SNES Function norm 6.68972
4      1 SNES Function norm 1.27466
5      2 SNES Function norm 0.079264
6      3 SNES Function norm 0.000353131
7      4 SNES Function norm 7.07495e-09
8    1 SNES Function norm 1.52162
9  1 SNES Function norm 1.52162
10    1 SNES Function norm 0.785084
11      0 SNES Function norm 0.643439
12      1 SNES Function norm 0.0233763
13      2 SNES Function norm 3.2067e-05
14      3 SNES Function norm 6.041e-11
15    1 SNES Function norm 0.170971
16  2 SNES Function norm 0.170971
17    1 SNES Function norm 0.0601088
18      0 SNES Function norm 0.0465713
19      1 SNES Function norm 0.000125247
20      2 SNES Function norm 9.069e-10
21      3 SNES Function norm < 1.e-11
22    1 SNES Function norm 0.00964638
23  3 SNES Function norm 0.00964638
24    1 SNES Function norm 0.00427687
25      0 SNES Function norm 0.00402538
26      1 SNES Function norm 9.35825e-07
27      2 SNES Function norm < 1.e-11
28    1 SNES Function norm 0.00100069
29  4 SNES Function norm 0.00100069
30    1 SNES Function norm 0.000502492
31      0 SNES Function norm 0.000461856
32      1 SNES Function norm 1.23187e-08
33      2 SNES Function norm < 1.e-11
34    1 SNES Function norm 0.000113958
35  5 SNES Function norm 0.000113958
36    1 SNES Function norm 5.42902e-05
37      0 SNES Function norm 4.86028e-05
38      1 SNES Function norm 1.364e-10
39      2 SNES Function norm < 1.e-11
40    1 SNES Function norm 1.16564e-05
41  6 SNES Function norm 1.16564e-05
42    1 SNES Function norm 5.44297e-06
43      0 SNES Function norm 4.84838e-06
44      1 SNES Function norm < 1.e-11
45      2 SNES Function norm < 1.e-11
46    1 SNES Function norm 1.15586e-06
47  7 SNES Function norm 1.15586e-06
48    1 SNES Function norm 5.35218e-07
49      0 SNES Function norm 4.76451e-07
50      1 SNES Function norm < 1.e-11
51      2 SNES Function norm < 1.e-11
52    1 SNES Function norm 1.13316e-07
53  8 SNES Function norm 1.13316e-07
54L_2 Error: 0.0199796
55Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 8
56SNES Object: 1 MPI processes
57  type: fas
58    type is MULTIPLICATIVE, levels=2, cycles=1
59    Not using Galerkin computed coarse grid function evaluation
60    Coarse grid solver -- level 0 -------------------------------
61    SNES Object: (fas_coarse_) 1 MPI processes
62      type: newtonls
63      maximum iterations=50, maximum function evaluations=10000
64      tolerances: relative=1e-08, absolute=1e-50, solution=1e-08
65      total number of linear solver iterations=2
66      total number of function evaluations=2
67      SNESLineSearch Object: (fas_coarse_) 1 MPI processes
68        type: basic
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: (fas_coarse_) 1 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-10, absolute=1e-50, divergence=10000.
78        left preconditioning
79        using PRECONDITIONED norm type for convergence test
80      PC Object: (fas_coarse_) 1 MPI processes
81        type: svd
82          All singular values smaller than 1e-12 treated as zero
83          Provided essential rank of the matrix 0 (all other eigenvalues are zeroed)
84        linear system matrix = precond matrix:
85        Mat Object: 1 MPI processes
86          type: seqaij
87          rows=1, cols=1
88          total: nonzeros=1, allocated nonzeros=1
89          total number of mallocs used during MatSetValues calls=0
90            not using I-node routines
91    Down solver (pre-smoother) on level 1 -------------------------------
92    SNES Object: (fas_levels_1_) 1 MPI processes
93      type: ngs
94        Use finite difference secant approximation with coloring with h = 1e-08
95      maximum iterations=1, maximum function evaluations=30000
96      tolerances: relative=0., absolute=0., solution=0.
97      total number of function evaluations=2
98      norm schedule FINALONLY
99    Up solver (post-smoother) same as down solver (pre-smoother)
100  maximum iterations=10000, maximum function evaluations=30000
101  tolerances: relative=1e-08, absolute=1e-50, solution=1e-08
102  total number of function evaluations=1
103  norm schedule ALWAYS
104