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 61483.3 9 3 SNES Function norm 18172.6 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 86.8927 14 8 SNES Function norm 8.80363 15 9 SNES Function norm 0.129676 16 10 SNES Function norm 2.95746e-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 32.9353 29 2 SNES Function norm 7.81802 30 3 SNES Function norm 1.11611 31 4 SNES Function norm 0.0418023 32 5 SNES Function norm 0.000198014 33 6 SNES Function norm 2.54954e-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 4.88422e-07 46 3 SNES Function norm < 1.e-11 47 0 SNES Function norm 0.0994333 48 1 SNES Function norm 0.00170898 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 0.00241367 54 0 SNES Function norm 0.00139771 55 1 SNES Function norm 2.40633e-07 56 0 SNES Function norm 1.98296e-07 57 1 SNES Function norm < 1.e-11 58 2 SNES Function norm < 1.e-11 59 0 SNES Function norm 1.73041e-07 60 1 SNES Function norm < 1.e-11 61 0 SNES Function norm 0.00208615 62 1 SNES Function norm 3.38175e-06 63 4 SNES Function norm 3.38175e-06 64L_2 Error: 0.00362874 65Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 4 66SNES Object: 1 MPI process 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_) 1 MPI process 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 norm schedule ALWAYS 78 SNESLineSearch Object: (fas_coarse_) 1 MPI process 79 type: basic 80 maxlambda=1.000000e+00, minlambda=1.000000e-12 81 tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08 82 maximum iterations=40 83 KSP Object: (fas_coarse_) 1 MPI process 84 type: gmres 85 restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement 86 happy breakdown tolerance 1e-30 87 maximum iterations=10000, initial guess is zero 88 tolerances: relative=1e-10, absolute=1e-50, divergence=10000. 89 left preconditioning 90 using PRECONDITIONED norm type for convergence test 91 PC Object: (fas_coarse_) 1 MPI process 92 type: svd 93 All singular values smaller than 1e-12 treated as zero 94 Provided essential rank of the matrix 0 (all other eigenvalues are zeroed) 95 linear system matrix = precond matrix: 96 Mat Object: 1 MPI process 97 type: seqaij 98 rows=5, cols=5 99 total: nonzeros=13, allocated nonzeros=13 100 total number of mallocs used during MatSetValues calls=0 101 not using I-node routines 102 Down solver (pre-smoother) on level 1 ------------------------------- 103 SNES Object: (fas_levels_1_) 1 MPI process 104 type: newtonls 105 maximum iterations=1, maximum function evaluations=10000 106 tolerances: relative=0., absolute=0., solution=0. 107 total number of linear solver iterations=1 108 total number of function evaluations=2 109 norm schedule FINALONLY 110 SNESLineSearch Object: (fas_levels_1_) 1 MPI process 111 type: bt 112 interpolation: cubic 113 alpha=1.000000e-04 114 maxlambda=1.000000e+00, minlambda=1.000000e-12 115 tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08 116 maximum iterations=40 117 KSP Object: (fas_levels_1_) 1 MPI process 118 type: gmres 119 restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement 120 happy breakdown tolerance 1e-30 121 maximum iterations=10000, initial guess is zero 122 tolerances: relative=1e-10, absolute=1e-50, divergence=10000. 123 left preconditioning 124 using PRECONDITIONED norm type for convergence test 125 PC Object: (fas_levels_1_) 1 MPI process 126 type: svd 127 All singular values smaller than 1e-12 treated as zero 128 Provided essential rank of the matrix 0 (all other eigenvalues are zeroed) 129 linear system matrix = precond matrix: 130 Mat Object: 1 MPI process 131 type: seqaij 132 rows=25, cols=25 133 total: nonzeros=137, allocated nonzeros=137 134 total number of mallocs used during MatSetValues calls=0 135 not using I-node routines 136 Up solver (post-smoother) same as down solver (pre-smoother) 137 Down solver (pre-smoother) on level 2 ------------------------------- 138 SNES Object: (fas_levels_2_) 1 MPI process 139 type: newtonls 140 maximum iterations=1, maximum function evaluations=10000 141 tolerances: relative=0., absolute=1e-11, solution=0. 142 total number of linear solver iterations=1 143 total number of function evaluations=2 144 norm schedule FINALONLY 145 SNESLineSearch Object: (fas_levels_2_) 1 MPI process 146 type: bt 147 interpolation: cubic 148 alpha=1.000000e-04 149 maxlambda=1.000000e+00, minlambda=1.000000e-12 150 tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08 151 maximum iterations=40 152 KSP Object: (fas_levels_2_) 1 MPI process 153 type: gmres 154 restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement 155 happy breakdown tolerance 1e-30 156 maximum iterations=10000, initial guess is zero 157 tolerances: relative=1e-10, absolute=1e-50, divergence=10000. 158 left preconditioning 159 using PRECONDITIONED norm type for convergence test 160 PC Object: (fas_levels_2_) 1 MPI process 161 type: svd 162 All singular values smaller than 1e-12 treated as zero 163 Provided essential rank of the matrix 0 (all other eigenvalues are zeroed) 164 linear system matrix = precond matrix: 165 Mat Object: 1 MPI process 166 type: seqaij 167 rows=113, cols=113 168 total: nonzeros=721, allocated nonzeros=721 169 total number of mallocs used during MatSetValues calls=0 170 not using I-node routines 171 Up solver (post-smoother) same as down solver (pre-smoother) 172 maximum iterations=10000, maximum function evaluations=30000 173 tolerances: relative=1e-08, absolute=1e-50, solution=1e-08 174 total number of function evaluations=1 175 norm schedule ALWAYS 176