1 0 SNES Function norm 13709.3 2 0 SNES Function norm 13709.3 3 1 SNES Function norm 4063.09 4 2 SNES Function norm 1209.16 5 3 SNES Function norm 358.664 6 4 SNES Function norm 106.534 7 0 SNES Function norm 100.4 8 1 SNES Function norm 85.1096 9 2 SNES Function norm 73.9499 10 3 SNES Function norm 46.0381 11 4 SNES Function norm 21.1178 12 0 SNES Function norm 8.52767 13 1 SNES Function norm 720.169 14 2 SNES Function norm 211.546 15 3 SNES Function norm 60.9206 16 4 SNES Function norm 16.4878 17 5 SNES Function norm 3.75186 18 6 SNES Function norm 0.550474 19 7 SNES Function norm 0.0246361 20 8 SNES Function norm 6.49531e-05 21 9 SNES Function norm 5.157e-10 22 0 SNES Function norm 16.0595 23 1 SNES Function norm 3.22362 24 2 SNES Function norm 0.877344 25 3 SNES Function norm 0.241559 26 4 SNES Function norm 0.0458156 27 0 SNES Function norm 380.549 28 1 SNES Function norm 112.851 29 2 SNES Function norm 33.6101 30 3 SNES Function norm 10.1359 31 4 SNES Function norm 3.24012 32 1 SNES Function norm 3.24012 33 0 SNES Function norm 3.24012 34 1 SNES Function norm 1.103 35 2 SNES Function norm 0.274359 36 3 SNES Function norm 0.0273309 37 4 SNES Function norm 0.000588161 38 0 SNES Function norm 0.000492505 39 1 SNES Function norm 1.24678e-07 40 2 SNES Function norm < 1.e-11 41 3 SNES Function norm < 1.e-11 42 4 SNES Function norm < 1.e-11 43 0 SNES Function norm < 1.e-11 44 1 SNES Function norm < 1.e-11 45 0 SNES Function norm < 1.e-11 46 1 SNES Function norm < 1.e-11 47 2 SNES Function norm < 1.e-11 48 3 SNES Function norm < 1.e-11 49 0 SNES Function norm 0.000415292 50 1 SNES Function norm 6.33274e-08 51 2 SNES Function norm < 1.e-11 52 3 SNES Function norm < 1.e-11 53 4 SNES Function norm < 1.e-11 54 2 SNES Function norm < 1.e-11 55Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 2 56SNES Object: 4 MPI processes 57 type: fas 58 type is MULTIPLICATIVE, levels=3, cycles=1 59 Not using Galerkin computed coarse grid function evaluation 60 Coarse grid solver -- level 0 ------------------------------- 61 SNES Object: (fas_coarse_) 4 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=36 66 total number of function evaluations=1 67 SNESLineSearch Object: (fas_coarse_) 4 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_) 4 MPI processes 73 type: cg 74 maximum iterations=10000, initial guess is zero 75 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 76 left preconditioning 77 using PRECONDITIONED norm type for convergence test 78 PC Object: (fas_coarse_) 4 MPI processes 79 type: jacobi 80 linear system matrix = precond matrix: 81 Mat Object: 4 MPI processes 82 type: mpiaij 83 rows=211, cols=211 84 total: nonzeros=2817, allocated nonzeros=2817 85 total number of mallocs used during MatSetValues calls=0 86 not using I-node (on process 0) routines 87 Down solver (pre-smoother) on level 1 ------------------------------- 88 SNES Object: (fas_levels_1_) 4 MPI processes 89 type: newtonls 90 maximum iterations=4, maximum function evaluations=30000 91 tolerances: relative=0., absolute=0., solution=0. 92 total number of linear solver iterations=235 93 total number of function evaluations=41 94 norm schedule FINALONLY 95 SNESLineSearch Object: (fas_levels_1_) 4 MPI processes 96 type: bt 97 interpolation: cubic 98 alpha=1.000000e-04 99 maxstep=1.000000e+08, minlambda=1.000000e-12 100 tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08 101 maximum iterations=40 102 KSP Object: (fas_levels_1_) 4 MPI processes 103 type: cg 104 maximum iterations=10000, initial guess is zero 105 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 106 left preconditioning 107 using PRECONDITIONED norm type for convergence test 108 PC Object: (fas_levels_1_) 4 MPI processes 109 type: jacobi 110 linear system matrix = precond matrix: 111 Mat Object: 4 MPI processes 112 type: mpiaij 113 rows=515, cols=515 114 total: nonzeros=7445, allocated nonzeros=7445 115 total number of mallocs used during MatSetValues calls=0 116 not using I-node (on process 0) routines 117 Up solver (post-smoother) same as down solver (pre-smoother) 118 Down solver (pre-smoother) on level 2 ------------------------------- 119 SNES Object: (fas_levels_2_) 4 MPI processes 120 type: newtonls 121 maximum iterations=4, maximum function evaluations=30000 122 tolerances: relative=0., absolute=0., solution=0. 123 total number of linear solver iterations=413 124 total number of function evaluations=5 125 norm schedule FINALONLY 126 SNESLineSearch Object: (fas_levels_2_) 4 MPI processes 127 type: bt 128 interpolation: cubic 129 alpha=1.000000e-04 130 maxstep=1.000000e+08, minlambda=1.000000e-12 131 tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08 132 maximum iterations=40 133 KSP Object: (fas_levels_2_) 4 MPI processes 134 type: cg 135 maximum iterations=10000, initial guess is zero 136 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 137 left preconditioning 138 using PRECONDITIONED norm type for convergence test 139 PC Object: (fas_levels_2_) 4 MPI processes 140 type: jacobi 141 linear system matrix = precond matrix: 142 Mat Object: 4 MPI processes 143 type: mpiaij 144 rows=1477, cols=1477 145 total: nonzeros=22453, allocated nonzeros=22453 146 total number of mallocs used during MatSetValues calls=0 147 not using I-node (on process 0) routines 148 Up solver (post-smoother) same as down solver (pre-smoother) 149 maximum iterations=10, maximum function evaluations=30000 150 tolerances: relative=1e-08, absolute=1e-50, solution=1e-08 151 total number of function evaluations=1 152 norm schedule ALWAYS 153 SNESLineSearch Object: 4 MPI processes 154 type: bt 155 interpolation: cubic 156 alpha=1.000000e-04 157 maxstep=1.000000e+08, minlambda=1.000000e-12 158 tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08 159 maximum iterations=40 160