1 0 SNES Function norm 10.2781 2 0 KSP Residual norm 10.2527 3 1 KSP Residual norm 2.66547 4 2 KSP Residual norm 2.14954 5 3 KSP Residual norm 0.936704 6 Linear solve converged due to CONVERGED_RTOL iterations 3 7 1 SNES Function norm 1.3995 8 0 KSP Residual norm 0.936704 9 1 KSP Residual norm 0.56997 10 2 KSP Residual norm 0.452168 11 3 KSP Residual norm 0.37517 12 4 KSP Residual norm 0.321505 13 5 KSP Residual norm 0.228601 14 6 KSP Residual norm 0.0993375 15 7 KSP Residual norm 0.0431408 16 Linear solve converged due to CONVERGED_RTOL iterations 7 17 2 SNES Function norm 0.0726869 18 0 KSP Residual norm 0.0431408 19 1 KSP Residual norm 0.0274385 20 2 KSP Residual norm 0.0189555 21 3 KSP Residual norm 0.00937105 22 4 KSP Residual norm 0.00494458 23 5 KSP Residual norm 0.00282835 24 Linear solve converged due to CONVERGED_RTOL iterations 5 25 3 SNES Function norm 0.0109837 26 0 KSP Residual norm 0.00282835 27 1 KSP Residual norm 0.00207835 28 2 KSP Residual norm 0.00187177 29 3 KSP Residual norm 0.00143279 30 4 KSP Residual norm 0.00106782 31 5 KSP Residual norm 0.000569083 32 6 KSP Residual norm 0.000357915 33 7 KSP Residual norm 0.000258279 34 Linear solve converged due to CONVERGED_RTOL iterations 7 35 4 SNES Function norm 0.00175073 36 0 KSP Residual norm 0.000258279 37 1 KSP Residual norm 0.000218845 38 2 KSP Residual norm 0.000191138 39 3 KSP Residual norm 0.000118262 40 4 KSP Residual norm 6.13427e-05 41 5 KSP Residual norm 4.39412e-05 42 6 KSP Residual norm 2.57659e-05 43 Linear solve converged due to CONVERGED_RTOL iterations 6 44 5 SNES Function norm 5.28417e-05 45 0 KSP Residual norm 2.57659e-05 46 1 KSP Residual norm 1.71353e-05 47 2 KSP Residual norm 1.31089e-05 48 3 KSP Residual norm 8.7226e-06 49 4 KSP Residual norm 5.13095e-06 50 5 KSP Residual norm 3.49879e-06 51 6 KSP Residual norm 2.48189e-06 52 Linear solve converged due to CONVERGED_RTOL iterations 6 53 6 SNES Function norm 1.21325e-05 54 0 KSP Residual norm 2.48189e-06 55 1 KSP Residual norm 2.21913e-06 56 2 KSP Residual norm 1.6028e-06 57 3 KSP Residual norm 1.22505e-06 58 4 KSP Residual norm 8.16615e-07 59 5 KSP Residual norm 5.14292e-07 60 6 KSP Residual norm 3.18465e-07 61 7 KSP Residual norm 2.31207e-07 62 Linear solve converged due to CONVERGED_RTOL iterations 7 63 7 SNES Function norm 6.84681e-07 64 0 KSP Residual norm 2.31207e-07 65 1 KSP Residual norm 1.59653e-07 66 2 KSP Residual norm 8.91299e-08 67 3 KSP Residual norm 6.58494e-08 68 4 KSP Residual norm 3.97919e-08 69 5 KSP Residual norm 2.89634e-08 70 6 KSP Residual norm 1.89701e-08 71 Linear solve converged due to CONVERGED_RTOL iterations 6 72 8 SNES Function norm 1.188e-07 73 0 KSP Residual norm 1.89701e-08 74 1 KSP Residual norm 1.46063e-08 75 2 KSP Residual norm 1.19679e-08 76 3 KSP Residual norm 9.9971e-09 77 4 KSP Residual norm 6.14893e-09 78 5 KSP Residual norm 3.83795e-09 79 6 KSP Residual norm 2.62872e-09 80 7 KSP Residual norm 1.50313e-09 81 Linear solve converged due to CONVERGED_RTOL iterations 7 82 9 SNES Function norm 2.22137e-09 83L_2 Error: 0.000629252 84Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 9 85SNES Object: 4 MPI processes 86 type: newtonls 87 maximum iterations=50, maximum function evaluations=10000 88 tolerances: relative=1e-08, absolute=1e-50, solution=1e-08 89 total number of linear solver iterations=54 90 total number of function evaluations=10 91 norm schedule ALWAYS 92 SNESLineSearch Object: 4 MPI processes 93 type: bt 94 interpolation: cubic 95 alpha=1.000000e-04 96 maxstep=1.000000e+08, minlambda=1.000000e-12 97 tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08 98 maximum iterations=40 99 KSP Object: 4 MPI processes 100 type: gmres 101 restart=100, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement 102 happy breakdown tolerance 1e-30 103 maximum iterations=10000, initial guess is zero 104 tolerances: relative=0.1, absolute=1e-50, divergence=10000. 105 left preconditioning 106 using PRECONDITIONED norm type for convergence test 107 PC Object: 4 MPI processes 108 type: hpddm 109 levels: 2 110 Neumann matrix attached? TRUE 111 coarse correction: deflated 112 on process #0, value (+ threshold if available) for selecting deflation vectors: 0 (0.1) 113 grid and operator complexities: 1.0039 1.00046 114 KSP Object: (pc_hpddm_levels_1_) 4 MPI processes 115 type: preonly 116 maximum iterations=10000, initial guess is zero 117 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 118 left preconditioning 119 using NONE norm type for convergence test 120 PC Object: (pc_hpddm_levels_1_) 4 MPI processes 121 type: bjacobi 122 number of blocks = 4 123 Local solve is same for all blocks, in the following KSP and PC objects: 124 KSP Object: (pc_hpddm_levels_1_sub_) 1 MPI processes 125 type: preonly 126 maximum iterations=10000, initial guess is zero 127 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 128 left preconditioning 129 using NONE norm type for convergence test 130 PC Object: (pc_hpddm_levels_1_sub_) 1 MPI processes 131 type: lu 132 out-of-place factorization 133 tolerance for zero pivot 2.22045e-14 134 matrix ordering: nd 135 factor fill ratio given 5., needed 1.9272 136 Factored matrix follows: 137 Mat Object: 1 MPI processes 138 type: seqaij 139 rows=109, cols=109 140 package used to perform factorization: petsc 141 total: nonzeros=1509, allocated nonzeros=1509 142 total number of mallocs used during MatSetValues calls=0 143 not using I-node routines 144 linear system matrix = precond matrix: 145 Mat Object: 1 MPI processes 146 type: seqaij 147 rows=109, cols=109 148 total: nonzeros=783, allocated nonzeros=783 149 total number of mallocs used during MatSetValues calls=0 150 not using I-node routines 151 linear system matrix = precond matrix: 152 Mat Object: 4 MPI processes 153 type: mpiaij 154 rows=513, cols=513 155 total: nonzeros=4345, allocated nonzeros=4345 156 total number of mallocs used during MatSetValues calls=0 157 not using I-node (on process 0) routines 158 KSP Object: (pc_hpddm_coarse_) 2 MPI processes 159 type: preonly 160 maximum iterations=10000, initial guess is zero 161 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 162 left preconditioning 163 using NONE norm type for convergence test 164 PC Object: (pc_hpddm_coarse_) 2 MPI processes 165 type: redundant 166 First (color=0) of 2 PCs follows 167 linear system matrix = precond matrix: 168 Mat Object: (pc_hpddm_coarse_) 2 MPI processes 169 type: mpisbaij 170 rows=2, cols=2 171 total: nonzeros=2, allocated nonzeros=2 172 total number of mallocs used during MatSetValues calls=0 173 block size is 1 174 KSP Object: (pc_hpddm_coarse_redundant_) 1 MPI processes 175 type: preonly 176 maximum iterations=10000, initial guess is zero 177 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 178 left preconditioning 179 using NONE norm type for convergence test 180 PC Object: (pc_hpddm_coarse_redundant_) 1 MPI processes 181 type: cholesky 182 out-of-place factorization 183 tolerance for zero pivot 2.22045e-14 184 matrix ordering: natural 185 factor fill ratio given 5., needed 1. 186 Factored matrix follows: 187 Mat Object: 1 MPI processes 188 type: seqsbaij 189 rows=2, cols=2 190 package used to perform factorization: petsc 191 total: nonzeros=2, allocated nonzeros=2 192 total number of mallocs used during MatSetValues calls=0 193 block size is 1 194 linear system matrix = precond matrix: 195 Mat Object: 1 MPI processes 196 type: seqsbaij 197 rows=2, cols=2 198 total: nonzeros=2, allocated nonzeros=2 199 total number of mallocs used during MatSetValues calls=0 200 block size is 1 201 linear system matrix = precond matrix: 202 Mat Object: 4 MPI processes 203 type: mpiaij 204 rows=513, cols=513 205 total: nonzeros=4345, allocated nonzeros=4345 206 total number of mallocs used during MatSetValues calls=0 207 not using I-node (on process 0) routines 208