1 0 SNES Function norm 17621.4 2 0 KSP Residual norm 7.477117570104e+00 3 1 KSP Residual norm 1.363212831361e+00 4 2 KSP Residual norm 1.659797269897e-01 5 3 KSP Residual norm 1.974324169274e-03 6 4 KSP Residual norm 3.057331000962e-04 7 5 KSP Residual norm 1.661856225558e-05 8 6 KSP Residual norm 1.374474145380e-06 9 1 SNES Function norm 5222.44 10 0 KSP Residual norm 4.186656837802e+00 11 1 KSP Residual norm 1.497421032213e+00 12 2 KSP Residual norm 1.159784254625e-01 13 3 KSP Residual norm 1.776814363587e-02 14 4 KSP Residual norm 4.697221420323e-03 15 5 KSP Residual norm 8.892598100282e-04 16 6 KSP Residual norm 1.548188482089e-04 17 7 KSP Residual norm 2.376563368113e-05 18 8 KSP Residual norm 3.076015085169e-06 19 2 SNES Function norm 1549.16 20 0 KSP Residual norm 4.047237413232e+00 21 1 KSP Residual norm 7.091943348533e-01 22 2 KSP Residual norm 1.383800140935e-01 23 3 KSP Residual norm 2.818851565910e-02 24 4 KSP Residual norm 1.135014300700e-03 25 5 KSP Residual norm 8.602730382831e-05 26 6 KSP Residual norm 2.436720983714e-05 27 7 KSP Residual norm 1.744414781598e-06 28 3 SNES Function norm 459.505 29 0 KSP Residual norm 2.349173613550e+00 30 1 KSP Residual norm 3.562004133514e-01 31 2 KSP Residual norm 9.219933392251e-02 32 3 KSP Residual norm 2.541794886904e-02 33 4 KSP Residual norm 1.493550516943e-03 34 5 KSP Residual norm 1.530342865698e-04 35 6 KSP Residual norm 1.381105744818e-05 36 7 KSP Residual norm 1.002357450145e-06 37 4 SNES Function norm 136.479 38 0 KSP Residual norm 9.641877600296e-01 39 1 KSP Residual norm 9.115132801196e-02 40 2 KSP Residual norm 2.968083729962e-02 41 3 KSP Residual norm 4.679681289162e-03 42 4 KSP Residual norm 3.733145372417e-04 43 5 KSP Residual norm 3.622056522372e-05 44 6 KSP Residual norm 1.253417815315e-06 45 5 SNES Function norm 40.624 46 0 KSP Residual norm 4.369671056170e-01 47 1 KSP Residual norm 3.318718830011e-02 48 2 KSP Residual norm 1.129836237575e-02 49 3 KSP Residual norm 7.564461357955e-04 50 4 KSP Residual norm 3.397426325276e-05 51 5 KSP Residual norm 5.729067873374e-06 52 6 KSP Residual norm 2.156460571757e-07 53 6 SNES Function norm 12.1062 54 0 KSP Residual norm 2.449604026619e-01 55 1 KSP Residual norm 1.347242196290e-02 56 2 KSP Residual norm 3.991463724921e-03 57 3 KSP Residual norm 2.054798449408e-04 58 4 KSP Residual norm 1.449038925632e-05 59 5 KSP Residual norm 1.930335185605e-06 60 6 KSP Residual norm 8.704448632528e-08 61 7 SNES Function norm 3.56967 62 0 KSP Residual norm 1.061875207367e-01 63 1 KSP Residual norm 6.429351665173e-03 64 2 KSP Residual norm 1.789376045197e-03 65 3 KSP Residual norm 6.966931668304e-05 66 4 KSP Residual norm 4.745627278115e-06 67 5 KSP Residual norm 2.683494039498e-07 68 6 KSP Residual norm 3.334745566651e-08 69 8 SNES Function norm 0.948696 70 0 KSP Residual norm 4.463099272352e-02 71 1 KSP Residual norm 1.737226038197e-03 72 2 KSP Residual norm 5.496736462993e-04 73 3 KSP Residual norm 3.347755426400e-05 74 4 KSP Residual norm 1.707089122793e-06 75 5 KSP Residual norm 1.741686818910e-07 76 6 KSP Residual norm 1.484992432486e-08 77 9 SNES Function norm 0.224801 78 0 KSP Residual norm 7.564025867913e-03 79 1 KSP Residual norm 2.184217862799e-04 80 2 KSP Residual norm 4.397434115494e-05 81 3 KSP Residual norm 2.915282951316e-06 82 4 KSP Residual norm 3.405363857794e-07 83 5 KSP Residual norm 6.289446019320e-08 84 6 KSP Residual norm 1.376116313174e-09 85 10 SNES Function norm 0.0400413 86 0 KSP Residual norm 5.841690034561e-04 87 1 KSP Residual norm 1.749857574745e-05 88 2 KSP Residual norm 1.633564527612e-06 89 3 KSP Residual norm 9.351740731443e-08 90 4 KSP Residual norm 1.490066930565e-08 91 5 KSP Residual norm 2.649701414098e-09 92 6 KSP Residual norm 5.980076853548e-11 93 7 KSP Residual norm 6.200530054428e-12 94 11 SNES Function norm 0.00166356 95 0 KSP Residual norm 1.527549805850e-05 96 1 KSP Residual norm 6.785830397513e-07 97 2 KSP Residual norm 9.565037269415e-08 98 3 KSP Residual norm 4.419692418036e-09 99 4 KSP Residual norm 5.478575492791e-10 100 5 KSP Residual norm 2.676787535225e-11 101 6 KSP Residual norm 9.463943808636e-13 102 7 KSP Residual norm 7.360639683246e-14 103 12 SNES Function norm 2.78359e-06 104Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 12 105SNES Object: 4 MPI processes 106 type: newtonls 107 maximum iterations=20, maximum function evaluations=10000 108 tolerances: relative=1e-08, absolute=1e-50, solution=1e-08 109 total number of linear solver iterations=78 110 total number of function evaluations=13 111 norm schedule ALWAYS 112 SNESLineSearch Object: 4 MPI processes 113 type: bt 114 interpolation: cubic 115 alpha=1.000000e-04 116 maxstep=1.000000e+08, minlambda=1.000000e-12 117 tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08 118 maximum iterations=40 119 KSP Object: 4 MPI processes 120 type: cg 121 maximum iterations=10000, initial guess is zero 122 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 123 left preconditioning 124 using PRECONDITIONED norm type for convergence test 125 PC Object: 4 MPI processes 126 type: bddc 127 Use verbose output: 0 128 Use user-defined CSR: 0 129 Use local mat graph: 1 130 Connectivity graph topological dimension: 2 131 Corner selection: 0 (selected 0) 132 Use vertices: 1 (vertex size 1) 133 Use edges: 1 134 Use faces: 0 135 Use true near null space: 0 136 Use QR for single constraints on cc: 0 137 Use change of basis on local edge nodes: 0 138 Use change of basis on local face nodes: 0 139 User defined change of basis matrix: 0 140 Has change of basis matrix: 0 141 Eliminate dirichlet boundary dofs: 0 142 Switch on static condensation ops around the interface preconditioner: 0 143 Use exact dirichlet trick: 1 144 Interface extension: DIRICHLET 145 Multilevel max levels: 0 146 Multilevel coarsening ratio: 8 147 Use estimated eigs for coarse problem: 0 148 Use deluxe scaling: 0 149 Use deluxe zerorows: 0 150 Use deluxe singlemat: 0 151 Rebuild interface graph for Schur principal minors: 0 152 Number of dofs' layers for the computation of principal minors: -1 153 Use user CSR graph to compute successive layers: 0 154 Adaptive constraint selection threshold (active 0, userdefined 0): 0. 155 Min constraints / connected component: 0 156 Max constraints / connected component: 0 157 Invert exact Schur complement for adaptive selection: 0 158 Symmetric computation of primal basis functions: 1 159 Num. Procs. to map coarse adjacency list: 0 160 Coarse eqs per proc (significant at the coarsest level): 1 161 Detect disconnected: 1 (filter 0) 162 Benign subspace trick: 0 (change explicit 0) 163 Benign subspace trick is active: 0 164 Algebraic computation of no-net-flux: 0 165 ********************************** STATISTICS AT LEVEL 0 ********************************** 166 Global dofs sizes: all 1485 interface 92 coarse 10 167 Coarsening ratios: all/coarse 148 interface/coarse 9 168 Active processes : 4 169 Total subdomains : 5 170 Dofs type : MIN MAX MEAN 171 Interior dofs : 343 361 348 172 Interface dofs : 33 61 46 173 Primal dofs : 3 8 5 174 Local dofs : 376 422 395 175 Local subs : 1 2 176 --- Interior solver (rank 0) 177 KSP Object: (pc_bddc_dirichlet_) 1 MPI process 178 type: preonly 179 maximum iterations=10000, initial guess is zero 180 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 181 left preconditioning 182 using NONE norm type for convergence test 183 PC Object: (pc_bddc_dirichlet_) 1 MPI process 184 type: lu 185 out-of-place factorization 186 tolerance for zero pivot 2.22045e-14 187 matrix ordering: nd 188 factor fill ratio given 5., needed 2.23015 189 Factored matrix follows: 190 Mat Object: (pc_bddc_dirichlet_) 1 MPI process 191 type: seqaij 192 rows=345, cols=345 193 package used to perform factorization: petsc 194 total: nonzeros=10533, allocated nonzeros=10533 195 not using I-node routines 196 linear system matrix = precond matrix: 197 Mat Object: (pc_bddc_dirichlet_) 1 MPI process 198 type: seqaij 199 rows=345, cols=345 200 total: nonzeros=4723, allocated nonzeros=4723 201 total number of mallocs used during MatSetValues calls=0 202 not using I-node routines 203 --- Correction solver (rank 0) 204 KSP Object: (pc_bddc_neumann_) 1 MPI process 205 type: preonly 206 maximum iterations=10000, initial guess is zero 207 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 208 left preconditioning 209 using NONE norm type for convergence test 210 PC Object: (pc_bddc_neumann_) 1 MPI process 211 type: lu 212 out-of-place factorization 213 tolerance for zero pivot 2.22045e-14 214 matrix ordering: nd 215 factor fill ratio given 5., needed 1.95449 216 Factored matrix follows: 217 Mat Object: (pc_bddc_neumann_) 1 MPI process 218 type: seqaij 219 rows=383, cols=383 220 package used to perform factorization: petsc 221 total: nonzeros=10865, allocated nonzeros=10865 222 not using I-node routines 223 linear system matrix = precond matrix: 224 Mat Object: (pc_bddc_neumann_) 1 MPI process 225 type: seqaij 226 rows=383, cols=383 227 total: nonzeros=5559, allocated nonzeros=5559 228 total number of mallocs used during MatSetValues calls=0 229 not using I-node routines 230 --- Coarse solver 231 KSP Object: (pc_bddc_coarse_) 4 MPI processes 232 type: preonly 233 maximum iterations=1, initial guess is zero 234 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 235 left preconditioning 236 using NONE norm type for convergence test 237 PC Object: (pc_bddc_coarse_) 4 MPI processes 238 type: redundant 239 First (color=0) of 4 PCs follows 240 linear system matrix = precond matrix: 241 Mat Object: (pc_bddc_coarse_) 4 MPI processes 242 type: mpiaij 243 rows=10, cols=10 244 total: nonzeros=94, allocated nonzeros=97 245 total number of mallocs used during MatSetValues calls=0 246 using I-node (on process 0) routines: found 1 nodes, limit used is 5 247 KSP Object: (pc_bddc_coarse_redundant_) 1 MPI process 248 type: preonly 249 maximum iterations=10000, initial guess is zero 250 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 251 left preconditioning 252 using NONE norm type for convergence test 253 PC Object: (pc_bddc_coarse_redundant_) 1 MPI process 254 type: lu 255 out-of-place factorization 256 tolerance for zero pivot 2.22045e-14 257 matrix ordering: nd 258 factor fill ratio given 5., needed 1.02128 259 Factored matrix follows: 260 Mat Object: (pc_bddc_coarse_redundant_) 1 MPI process 261 type: seqaij 262 rows=10, cols=10 263 package used to perform factorization: petsc 264 total: nonzeros=96, allocated nonzeros=96 265 using I-node routines: found 4 nodes, limit used is 5 266 linear system matrix = precond matrix: 267 Mat Object: 1 MPI process 268 type: seqaij 269 rows=10, cols=10 270 total: nonzeros=94, allocated nonzeros=94 271 total number of mallocs used during MatSetValues calls=0 272 using I-node routines: found 6 nodes, limit used is 5 273 linear system matrix = precond matrix: 274 Mat Object: 4 MPI processes 275 type: is 276 rows=1485, cols=1485 277 total: nonzeros=23046, allocated nonzeros=24772 278 total number of mallocs used during MatSetValues calls=0 279