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 shared subdomain KSP between SLEPc and PETSc? FALSE 112 coarse correction: DEFLATED 113 on process #0, value (+ threshold if available) for selecting deflation vectors: 0 (0.1) 114 grid and operator complexities: 1.0039 1.00046 115 KSP Object: (pc_hpddm_levels_1_) 4 MPI processes 116 type: preonly 117 maximum iterations=10000, initial guess is zero 118 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 119 left preconditioning 120 using NONE norm type for convergence test 121 PC Object: (pc_hpddm_levels_1_) 4 MPI processes 122 type: shell 123 no name 124 linear system matrix = precond matrix: 125 Mat Object: 4 MPI processes 126 type: mpiaij 127 rows=513, cols=513 128 total: nonzeros=4345, allocated nonzeros=4345 129 total number of mallocs used during MatSetValues calls=0 130 not using I-node (on process 0) routines 131 PC Object: (pc_hpddm_levels_1_) 4 MPI processes 132 type: bjacobi 133 number of blocks = 4 134 Local solver information for first block is in the following KSP and PC objects on rank 0: 135 Use -pc_hpddm_levels_1_ksp_view ::ascii_info_detail to display information for all blocks 136 KSP Object: (pc_hpddm_levels_1_sub_) 1 MPI process 137 type: preonly 138 maximum iterations=10000, initial guess is zero 139 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 140 left preconditioning 141 using NONE norm type for convergence test 142 PC Object: (pc_hpddm_levels_1_sub_) 1 MPI process 143 type: lu 144 out-of-place factorization 145 tolerance for zero pivot 2.22045e-14 146 matrix ordering: nd 147 factor fill ratio given 5., needed 1.9272 148 Factored matrix follows: 149 Mat Object: (pc_hpddm_levels_1_sub_) 1 MPI process 150 type: seqaij 151 rows=109, cols=109 152 package used to perform factorization: petsc 153 total: nonzeros=1509, allocated nonzeros=1509 154 not using I-node routines 155 linear system matrix = precond matrix: 156 Mat Object: (pc_hpddm_levels_1_sub_) 1 MPI process 157 type: seqaij 158 rows=109, cols=109 159 total: nonzeros=783, allocated nonzeros=783 160 total number of mallocs used during MatSetValues calls=0 161 not using I-node routines 162 linear system matrix = precond matrix: 163 Mat Object: 4 MPI processes 164 type: mpiaij 165 rows=513, cols=513 166 total: nonzeros=4345, allocated nonzeros=4345 167 total number of mallocs used during MatSetValues calls=0 168 not using I-node (on process 0) routines 169 KSP Object: (pc_hpddm_coarse_) 2 MPI processes 170 type: preonly 171 maximum iterations=10000, initial guess is zero 172 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 173 left preconditioning 174 using NONE norm type for convergence test 175 PC Object: (pc_hpddm_coarse_) 2 MPI processes 176 type: redundant 177 First (color=0) of 2 PCs follows 178 linear system matrix = precond matrix: 179 Mat Object: (pc_hpddm_coarse_) 2 MPI processes 180 type: mpisbaij 181 rows=2, cols=2 182 total: nonzeros=2, allocated nonzeros=2 183 total number of mallocs used during MatSetValues calls=0 184 block size is 1 185 KSP Object: (pc_hpddm_coarse_redundant_) 1 MPI process 186 type: preonly 187 maximum iterations=10000, initial guess is zero 188 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 189 left preconditioning 190 using NONE norm type for convergence test 191 PC Object: (pc_hpddm_coarse_redundant_) 1 MPI process 192 type: cholesky 193 out-of-place factorization 194 tolerance for zero pivot 2.22045e-14 195 matrix ordering: natural 196 factor fill ratio given 5., needed 1. 197 Factored matrix follows: 198 Mat Object: (pc_hpddm_coarse_redundant_) 1 MPI process 199 type: seqsbaij 200 rows=2, cols=2 201 package used to perform factorization: petsc 202 total: nonzeros=2, allocated nonzeros=2 203 block size is 1 204 linear system matrix = precond matrix: 205 Mat Object: 1 MPI process 206 type: seqsbaij 207 rows=2, cols=2 208 total: nonzeros=2, allocated nonzeros=2 209 total number of mallocs used during MatSetValues calls=0 210 block size is 1 211 linear system matrix = precond matrix: 212 Mat Object: 4 MPI processes 213 type: mpiaij 214 rows=513, cols=513 215 total: nonzeros=4345, allocated nonzeros=4345 216 total number of mallocs used during MatSetValues calls=0 217 not using I-node (on process 0) routines 218