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 0 SNES Function norm 1.73039e-07 59 1 SNES Function norm < 1.e-11 60 0 SNES Function norm 0.00208614 61 1 SNES Function norm 3.3809e-06 62 4 SNES Function norm 3.3809e-06 63L_2 Error: 0.00363695 64Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 4 65SNES Object: 1 MPI process 66 type: fas 67 type is MULTIPLICATIVE, levels=3, cycles=1 68 Not using Galerkin computed coarse grid function evaluation 69 Coarse grid solver -- level 0 ------------------------------- 70 SNES Object: (fas_coarse_) 1 MPI process 71 type: newtonls 72 maximum iterations=50, maximum function evaluations=10000 73 tolerances: relative=1e-08, absolute=1e-50, solution=1e-08 74 total number of linear solver iterations=1 75 total number of function evaluations=1 76 SNESLineSearch Object: (fas_coarse_) 1 MPI process 77 type: basic 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_coarse_) 1 MPI process 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_coarse_) 1 MPI process 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 process 95 type: seqaij 96 rows=5, cols=5 97 total: nonzeros=13, allocated nonzeros=13 98 total number of mallocs used during MatSetValues calls=0 99 not using I-node routines 100 Down solver (pre-smoother) on level 1 ------------------------------- 101 SNES Object: (fas_levels_1_) 1 MPI process 102 type: newtonls 103 maximum iterations=1, maximum function evaluations=30000 104 tolerances: relative=0., absolute=0., solution=0. 105 total number of linear solver iterations=1 106 total number of function evaluations=2 107 norm schedule FINALONLY 108 SNESLineSearch Object: (fas_levels_1_) 1 MPI process 109 type: bt 110 interpolation: cubic 111 alpha=1.000000e-04 112 maxstep=1.000000e+08, minlambda=1.000000e-12 113 tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08 114 maximum iterations=40 115 KSP Object: (fas_levels_1_) 1 MPI process 116 type: gmres 117 restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement 118 happy breakdown tolerance 1e-30 119 maximum iterations=10000, initial guess is zero 120 tolerances: relative=1e-10, absolute=1e-50, divergence=10000. 121 left preconditioning 122 using PRECONDITIONED norm type for convergence test 123 PC Object: (fas_levels_1_) 1 MPI process 124 type: svd 125 All singular values smaller than 1e-12 treated as zero 126 Provided essential rank of the matrix 0 (all other eigenvalues are zeroed) 127 linear system matrix = precond matrix: 128 Mat Object: 1 MPI process 129 type: seqaij 130 rows=25, cols=25 131 total: nonzeros=137, allocated nonzeros=137 132 total number of mallocs used during MatSetValues calls=0 133 not using I-node routines 134 Up solver (post-smoother) same as down solver (pre-smoother) 135 Down solver (pre-smoother) on level 2 ------------------------------- 136 SNES Object: (fas_levels_2_) 1 MPI process 137 type: newtonls 138 maximum iterations=1, maximum function evaluations=30000 139 tolerances: relative=0., absolute=1e-11, solution=0. 140 total number of linear solver iterations=1 141 total number of function evaluations=2 142 norm schedule FINALONLY 143 SNESLineSearch Object: (fas_levels_2_) 1 MPI process 144 type: bt 145 interpolation: cubic 146 alpha=1.000000e-04 147 maxstep=1.000000e+08, minlambda=1.000000e-12 148 tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08 149 maximum iterations=40 150 KSP Object: (fas_levels_2_) 1 MPI process 151 type: gmres 152 restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement 153 happy breakdown tolerance 1e-30 154 maximum iterations=10000, initial guess is zero 155 tolerances: relative=1e-10, absolute=1e-50, divergence=10000. 156 left preconditioning 157 using PRECONDITIONED norm type for convergence test 158 PC Object: (fas_levels_2_) 1 MPI process 159 type: svd 160 All singular values smaller than 1e-12 treated as zero 161 Provided essential rank of the matrix 0 (all other eigenvalues are zeroed) 162 linear system matrix = precond matrix: 163 Mat Object: 1 MPI process 164 type: seqaij 165 rows=113, cols=113 166 total: nonzeros=721, allocated nonzeros=721 167 total number of mallocs used during MatSetValues calls=0 168 not using I-node routines 169 Up solver (post-smoother) same as down solver (pre-smoother) 170 maximum iterations=10000, maximum function evaluations=30000 171 tolerances: relative=1e-08, absolute=1e-50, solution=1e-08 172 total number of function evaluations=1 173 norm schedule ALWAYS 174