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: 0.0199796 30Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 3 31SNES Object: 1 MPI processes 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 processes 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 SNESLineSearch Object: (fas_coarse_) 1 MPI processes 43 type: basic 44 maxstep=1.000000e+08, minlambda=1.000000e-12 45 tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08 46 maximum iterations=40 47 KSP Object: (fas_coarse_) 1 MPI processes 48 type: gmres 49 restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement 50 happy breakdown tolerance 1e-30 51 maximum iterations=10000, initial guess is zero 52 tolerances: relative=1e-10, absolute=1e-50, divergence=10000. 53 left preconditioning 54 using PRECONDITIONED norm type for convergence test 55 PC Object: (fas_coarse_) 1 MPI processes 56 type: svd 57 All singular values smaller than 1e-12 treated as zero 58 Provided essential rank of the matrix 0 (all other eigenvalues are zeroed) 59 linear system matrix = precond matrix: 60 Mat Object: 1 MPI processes 61 type: seqaij 62 rows=1, cols=1 63 total: nonzeros=1, allocated nonzeros=1 64 total number of mallocs used during MatSetValues calls=0 65 not using I-node routines 66 Down solver (pre-smoother) on level 1 ------------------------------- 67 SNES Object: (fas_levels_1_) 1 MPI processes 68 type: newtonls 69 maximum iterations=1, maximum function evaluations=30000 70 tolerances: relative=0., absolute=0., solution=0. 71 total number of linear solver iterations=1 72 total number of function evaluations=2 73 norm schedule FINALONLY 74 SNESLineSearch Object: (fas_levels_1_) 1 MPI processes 75 type: bt 76 interpolation: cubic 77 alpha=1.000000e-04 78 maxstep=1.000000e+08, minlambda=1.000000e-12 79 tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08 80 maximum iterations=40 81 KSP Object: (fas_levels_1_) 1 MPI processes 82 type: gmres 83 restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement 84 happy breakdown tolerance 1e-30 85 maximum iterations=10000, initial guess is zero 86 tolerances: relative=1e-10, absolute=1e-50, divergence=10000. 87 left preconditioning 88 using PRECONDITIONED norm type for convergence test 89 PC Object: (fas_levels_1_) 1 MPI processes 90 type: svd 91 All singular values smaller than 1e-12 treated as zero 92 Provided essential rank of the matrix 0 (all other eigenvalues are zeroed) 93 linear system matrix = precond matrix: 94 Mat Object: 1 MPI processes 95 type: seqaij 96 rows=9, cols=9 97 total: nonzeros=41, allocated nonzeros=41 98 total number of mallocs used during MatSetValues calls=0 99 not using I-node routines 100 Up solver (post-smoother) same as down solver (pre-smoother) 101 maximum iterations=10000, maximum function evaluations=30000 102 tolerances: relative=1e-08, absolute=1e-50, solution=1e-08 103 total number of function evaluations=1 104 norm schedule ALWAYS 105