1 0 SNES Function norm 3393.27 2 0 SNES Function norm 3393.27 3 1 SNES Function norm 937.658 4 0 SNES Function norm 858.91 5 1 SNES Function norm 343.648 6 0 SNES Function norm 280.975 7 1 SNES Function norm 193.8 8 2 SNES Function norm 61483.4 9 3 SNES Function norm 18172.7 10 4 SNES Function norm 5338.44 11 5 SNES Function norm 1535.53 12 6 SNES Function norm 411.217 13 7 SNES Function norm 86.8928 14 8 SNES Function norm 8.80363 15 9 SNES Function norm 0.129676 16 10 SNES Function norm 2.95747e-05 17 11 SNES Function norm < 1.e-11 18 0 SNES Function norm 270.325 19 1 SNES Function norm 160.311 20 0 SNES Function norm 761.459 21 1 SNES Function norm 226.117 22 1 SNES Function norm 226.117 23 0 SNES Function norm 226.117 24 1 SNES Function norm 67.3939 25 0 SNES Function norm 46.5799 26 1 SNES Function norm 19.1174 27 0 SNES Function norm 14.928 28 1 SNES Function norm 32.9355 29 2 SNES Function norm 7.81806 30 3 SNES Function norm 1.11612 31 4 SNES Function norm 0.0418029 32 5 SNES Function norm 0.00019802 33 6 SNES Function norm 2.54966e-08 34 0 SNES Function norm 29.0551 35 1 SNES Function norm 17.1993 36 0 SNES Function norm 32.2278 37 1 SNES Function norm 8.04014 38 2 SNES Function norm 8.04014 39 0 SNES Function norm 8.04014 40 1 SNES Function norm 2.06394 41 0 SNES Function norm 1.45779 42 1 SNES Function norm 0.168478 43 0 SNES Function norm 0.165074 44 1 SNES Function norm 0.00222455 45 2 SNES Function norm 4.88426e-07 46 3 SNES Function norm < 1.e-11 47 0 SNES Function norm 0.0994334 48 1 SNES Function norm 0.00170881 49 0 SNES Function norm 1.30474 50 1 SNES Function norm 0.113808 51 3 SNES Function norm 0.113808 52 0 SNES Function norm 0.113808 53 1 SNES Function norm 0.00241366 54 0 SNES Function norm 0.00139771 55 1 SNES Function norm 2.4063e-07 56 0 SNES Function norm 1.98295e-07 57 1 SNES Function norm < 1.e-11 58 2 SNES Function norm < 1.e-11 59 0 SNES Function norm 1.73039e-07 60 1 SNES Function norm < 1.e-11 61 0 SNES Function norm 0.00208614 62 1 SNES Function norm 3.3809e-06 63 4 SNES Function norm 3.3809e-06 64L_2 Error: 0.00363695 65Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 4 66SNES Object: 2 MPI processes 67 type: fas 68 type is MULTIPLICATIVE, levels=3, cycles=1 69 Not using Galerkin computed coarse grid function evaluation 70 Coarse grid solver -- level 0 ------------------------------- 71 SNES Object: (fas_coarse_) 2 MPI processes 72 type: newtonls 73 maximum iterations=50, maximum function evaluations=10000 74 tolerances: relative=1e-08, absolute=1e-50, solution=1e-08 75 total number of linear solver iterations=2 76 total number of function evaluations=2 77 SNESLineSearch Object: (fas_coarse_) 2 MPI processes 78 type: basic 79 maxstep=1.000000e+08, 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_coarse_) 2 MPI processes 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_coarse_) 2 MPI processes 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 = precond matrix: 95 Mat Object: 2 MPI processes 96 type: mpiaij 97 rows=5, cols=5 98 total: nonzeros=13, allocated nonzeros=13 99 total number of mallocs used during MatSetValues calls=0 100 not using I-node (on process 0) routines 101 Down solver (pre-smoother) on level 1 ------------------------------- 102 SNES Object: (fas_levels_1_) 2 MPI processes 103 type: newtonls 104 maximum iterations=1, maximum function evaluations=30000 105 tolerances: relative=0., absolute=0., solution=0. 106 total number of linear solver iterations=1 107 total number of function evaluations=2 108 norm schedule FINALONLY 109 SNESLineSearch Object: (fas_levels_1_) 2 MPI processes 110 type: bt 111 interpolation: cubic 112 alpha=1.000000e-04 113 maxstep=1.000000e+08, minlambda=1.000000e-12 114 tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08 115 maximum iterations=40 116 KSP Object: (fas_levels_1_) 2 MPI processes 117 type: gmres 118 restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement 119 happy breakdown tolerance 1e-30 120 maximum iterations=10000, initial guess is zero 121 tolerances: relative=1e-10, absolute=1e-50, divergence=10000. 122 left preconditioning 123 using PRECONDITIONED norm type for convergence test 124 PC Object: (fas_levels_1_) 2 MPI processes 125 type: svd 126 All singular values smaller than 1e-12 treated as zero 127 Provided essential rank of the matrix 0 (all other eigenvalues are zeroed) 128 linear system matrix = precond matrix: 129 Mat Object: 2 MPI processes 130 type: mpiaij 131 rows=25, cols=25 132 total: nonzeros=137, allocated nonzeros=137 133 total number of mallocs used during MatSetValues calls=0 134 not using I-node (on process 0) routines 135 Up solver (post-smoother) same as down solver (pre-smoother) 136 Down solver (pre-smoother) on level 2 ------------------------------- 137 SNES Object: (fas_levels_2_) 2 MPI processes 138 type: newtonls 139 maximum iterations=1, maximum function evaluations=30000 140 tolerances: relative=0., absolute=1e-11, solution=0. 141 total number of linear solver iterations=1 142 total number of function evaluations=2 143 norm schedule FINALONLY 144 SNESLineSearch Object: (fas_levels_2_) 2 MPI processes 145 type: bt 146 interpolation: cubic 147 alpha=1.000000e-04 148 maxstep=1.000000e+08, minlambda=1.000000e-12 149 tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08 150 maximum iterations=40 151 KSP Object: (fas_levels_2_) 2 MPI processes 152 type: gmres 153 restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement 154 happy breakdown tolerance 1e-30 155 maximum iterations=10000, initial guess is zero 156 tolerances: relative=1e-10, absolute=1e-50, divergence=10000. 157 left preconditioning 158 using PRECONDITIONED norm type for convergence test 159 PC Object: (fas_levels_2_) 2 MPI processes 160 type: svd 161 All singular values smaller than 1e-12 treated as zero 162 Provided essential rank of the matrix 0 (all other eigenvalues are zeroed) 163 linear system matrix = precond matrix: 164 Mat Object: 2 MPI processes 165 type: mpiaij 166 rows=113, cols=113 167 total: nonzeros=721, allocated nonzeros=721 168 total number of mallocs used during MatSetValues calls=0 169 not using I-node (on process 0) routines 170 Up solver (post-smoother) same as down solver (pre-smoother) 171 maximum iterations=10000, maximum function evaluations=30000 172 tolerances: relative=1e-08, absolute=1e-50, solution=1e-08 173 total number of function evaluations=1 174 norm schedule ALWAYS 175