1 0 SNES Function norm 95.2794 2 0 SNES Function norm 95.2794 3 1 SNES Function norm 27.7545 4 0 SNES Function norm 7.72252 5 1 SNES Function norm 1.53615 6 2 SNES Function norm 0.109054 7 3 SNES Function norm 0.000651896 8 4 SNES Function norm 2.36055e-08 9 0 SNES Function norm 27.9148 10 1 SNES Function norm 7.84699 11 1 SNES Function norm 7.84699 12 0 SNES Function norm 7.84699 13 1 SNES Function norm 1.64247 14 0 SNES Function norm 0.168478 15 1 SNES Function norm 0.00165933 16 2 SNES Function norm 1.62594e-07 17 3 SNES Function norm < 1.e-11 18 0 SNES Function norm 1.69667 19 1 SNES Function norm 0.163849 20 2 SNES Function norm 0.163849 21 0 SNES Function norm 0.163849 22 1 SNES Function norm 0.00249421 23 0 SNES Function norm 0.000417676 24 1 SNES Function norm 1.00749e-08 25 2 SNES Function norm < 1.e-11 26 0 SNES Function norm 0.00265254 27 1 SNES Function norm 5.66326e-07 28 3 SNES Function norm 5.66326e-07 29L_2 Error: 0.0198799 30Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 3 31SNES Object: 1 MPI process 32 type: fas 33 type is MULTIPLICATIVE, levels=2, cycles=1 34 Not using Galerkin computed coarse grid function evaluation 35 Coarse grid solver -- level 0 ------------------------------- 36 SNES Object: (fas_coarse_) 1 MPI process 37 type: newtonls 38 maximum iterations=50, maximum function evaluations=10000 39 tolerances: relative=1e-08, absolute=1e-50, solution=1e-08 40 total number of linear solver iterations=2 41 total number of function evaluations=2 42 norm schedule ALWAYS 43 SNESLineSearch Object: (fas_coarse_) 1 MPI process 44 type: basic 45 maxlambda=1.000000e+00, minlambda=1.000000e-12 46 tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08 47 maximum iterations=40 48 KSP Object: (fas_coarse_) 1 MPI process 49 type: gmres 50 restart=30, using classical (unmodified) Gram-Schmidt orthogonalization with no iterative refinement 51 happy breakdown tolerance=1e-30 52 maximum iterations=10000, initial guess is zero 53 tolerances: relative=1e-10, absolute=1e-50, divergence=10000. 54 left preconditioning 55 using PRECONDITIONED norm type for convergence test 56 PC Object: (fas_coarse_) 1 MPI process 57 type: svd 58 All singular values smaller than 1e-12 treated as zero 59 Provided essential rank of the matrix 0 (all other eigenvalues are zeroed) 60 linear system matrix, which is also used to construct the preconditioner: 61 Mat Object: 1 MPI process 62 type: seqaij 63 rows=1, cols=1 64 total: nonzeros=1, allocated nonzeros=1 65 total number of mallocs used during MatSetValues calls=0 66 not using I-node routines 67 Down solver (pre-smoother) on level 1 ------------------------------- 68 SNES Object: (fas_levels_1_) 1 MPI process 69 type: newtonls 70 maximum iterations=1, maximum function evaluations=10000 71 tolerances: relative=0., absolute=0., solution=0. 72 total number of linear solver iterations=1 73 total number of function evaluations=2 74 norm schedule FINALONLY 75 SNESLineSearch Object: (fas_levels_1_) 1 MPI process 76 type: bt 77 interpolation: cubic 78 alpha=1.000000e-04 79 maxlambda=1.000000e+00, minlambda=1.000000e-12 80 tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08 81 maximum iterations=40 82 KSP Object: (fas_levels_1_) 1 MPI process 83 type: gmres 84 restart=30, using classical (unmodified) Gram-Schmidt orthogonalization with no iterative refinement 85 happy breakdown tolerance=1e-30 86 maximum iterations=10000, initial guess is zero 87 tolerances: relative=1e-10, absolute=1e-50, divergence=10000. 88 left preconditioning 89 using PRECONDITIONED norm type for convergence test 90 PC Object: (fas_levels_1_) 1 MPI process 91 type: svd 92 All singular values smaller than 1e-12 treated as zero 93 Provided essential rank of the matrix 0 (all other eigenvalues are zeroed) 94 linear system matrix, which is also used to construct the preconditioner: 95 Mat Object: 1 MPI process 96 type: seqaij 97 rows=9, cols=9 98 total: nonzeros=41, allocated nonzeros=41 99 total number of mallocs used during MatSetValues calls=0 100 not using I-node routines 101 Up solver (post-smoother) same as down solver (pre-smoother) 102 maximum iterations=10000, maximum function evaluations=30000 103 tolerances: relative=1e-08, absolute=1e-50, solution=1e-08 104 total number of function evaluations=1 105 norm schedule ALWAYS 106