0 SNES Function norm 17621.4 0 KSP Residual norm 7.477117570104e+00 1 KSP Residual norm 1.363212831361e+00 2 KSP Residual norm 1.659797269897e-01 3 KSP Residual norm 1.974324169274e-03 4 KSP Residual norm 3.057331000962e-04 5 KSP Residual norm 1.661856225558e-05 6 KSP Residual norm 1.374474145380e-06 1 SNES Function norm 5222.44 0 KSP Residual norm 4.186656837802e+00 1 KSP Residual norm 1.497421032213e+00 2 KSP Residual norm 1.159784254625e-01 3 KSP Residual norm 1.776814363587e-02 4 KSP Residual norm 4.697221420323e-03 5 KSP Residual norm 8.892598100282e-04 6 KSP Residual norm 1.548188482089e-04 7 KSP Residual norm 2.376563368113e-05 8 KSP Residual norm 3.076015085169e-06 2 SNES Function norm 1549.16 0 KSP Residual norm 4.047237413232e+00 1 KSP Residual norm 7.091943348533e-01 2 KSP Residual norm 1.383800140935e-01 3 KSP Residual norm 2.818851565910e-02 4 KSP Residual norm 1.135014300700e-03 5 KSP Residual norm 8.602730382831e-05 6 KSP Residual norm 2.436720983714e-05 7 KSP Residual norm 1.744414781598e-06 3 SNES Function norm 459.505 0 KSP Residual norm 2.349173613550e+00 1 KSP Residual norm 3.562004133514e-01 2 KSP Residual norm 9.219933392251e-02 3 KSP Residual norm 2.541794886904e-02 4 KSP Residual norm 1.493550516943e-03 5 KSP Residual norm 1.530342865698e-04 6 KSP Residual norm 1.381105744818e-05 7 KSP Residual norm 1.002357450145e-06 4 SNES Function norm 136.479 0 KSP Residual norm 9.641877600296e-01 1 KSP Residual norm 9.115132801196e-02 2 KSP Residual norm 2.968083729962e-02 3 KSP Residual norm 4.679681289162e-03 4 KSP Residual norm 3.733145372417e-04 5 KSP Residual norm 3.622056522372e-05 6 KSP Residual norm 1.253417815315e-06 5 SNES Function norm 40.624 0 KSP Residual norm 4.369671056170e-01 1 KSP Residual norm 3.318718830011e-02 2 KSP Residual norm 1.129836237575e-02 3 KSP Residual norm 7.564461357955e-04 4 KSP Residual norm 3.397426325276e-05 5 KSP Residual norm 5.729067873374e-06 6 KSP Residual norm 2.156460571757e-07 6 SNES Function norm 12.1062 0 KSP Residual norm 2.449604026619e-01 1 KSP Residual norm 1.347242196290e-02 2 KSP Residual norm 3.991463724921e-03 3 KSP Residual norm 2.054798449408e-04 4 KSP Residual norm 1.449038925632e-05 5 KSP Residual norm 1.930335185605e-06 6 KSP Residual norm 8.704448632528e-08 7 SNES Function norm 3.56967 0 KSP Residual norm 1.061875207367e-01 1 KSP Residual norm 6.429351665173e-03 2 KSP Residual norm 1.789376045197e-03 3 KSP Residual norm 6.966931668304e-05 4 KSP Residual norm 4.745627278115e-06 5 KSP Residual norm 2.683494039498e-07 6 KSP Residual norm 3.334745566651e-08 8 SNES Function norm 0.948696 0 KSP Residual norm 4.463099272352e-02 1 KSP Residual norm 1.737226038197e-03 2 KSP Residual norm 5.496736462993e-04 3 KSP Residual norm 3.347755426400e-05 4 KSP Residual norm 1.707089122793e-06 5 KSP Residual norm 1.741686818910e-07 6 KSP Residual norm 1.484992432486e-08 9 SNES Function norm 0.224801 0 KSP Residual norm 7.564025867913e-03 1 KSP Residual norm 2.184217862799e-04 2 KSP Residual norm 4.397434115494e-05 3 KSP Residual norm 2.915282951316e-06 4 KSP Residual norm 3.405363857794e-07 5 KSP Residual norm 6.289446019320e-08 6 KSP Residual norm 1.376116313174e-09 10 SNES Function norm 0.0400413 0 KSP Residual norm 5.841690034561e-04 1 KSP Residual norm 1.749857574745e-05 2 KSP Residual norm 1.633564527612e-06 3 KSP Residual norm 9.351740731443e-08 4 KSP Residual norm 1.490066930565e-08 5 KSP Residual norm 2.649701414098e-09 6 KSP Residual norm 5.980076853548e-11 7 KSP Residual norm 6.200530054428e-12 11 SNES Function norm 0.00166356 0 KSP Residual norm 1.527549805850e-05 1 KSP Residual norm 6.785830397513e-07 2 KSP Residual norm 9.565037269415e-08 3 KSP Residual norm 4.419692418036e-09 4 KSP Residual norm 5.478575492791e-10 5 KSP Residual norm 2.676787535225e-11 6 KSP Residual norm 9.463943808636e-13 7 KSP Residual norm 7.360639683246e-14 12 SNES Function norm 2.78359e-06 Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 12 SNES Object: 4 MPI processes type: newtonls maximum iterations=20, maximum function evaluations=10000 tolerances: relative=1e-08, absolute=1e-50, solution=1e-08 total number of linear solver iterations=78 total number of function evaluations=13 norm schedule ALWAYS SNESLineSearch Object: 4 MPI processes type: bt interpolation: cubic alpha=1.000000e-04 maxstep=1.000000e+08, minlambda=1.000000e-12 tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08 maximum iterations=40 KSP Object: 4 MPI processes type: cg maximum iterations=10000, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000. left preconditioning using PRECONDITIONED norm type for convergence test PC Object: 4 MPI processes type: bddc Use verbose output: 0 Use user-defined CSR: 0 Use local mat graph: 1 Connectivity graph topological dimension: 2 Use vertices: 1 (vertex size 1) Use edges: 1 Use faces: 0 Use true near null space: 0 Use QR for single constraints on cc: 0 Use change of basis on local edge nodes: 0 Use change of basis on local face nodes: 0 User defined change of basis matrix: 0 Has change of basis matrix: 0 Eliminate dirichlet boundary dofs: 0 Switch on static condensation ops around the interface preconditioner: 0 Use exact dirichlet trick: 1 Interface extension: DIRICHLET Multilevel max levels: 0 Multilevel coarsening ratio: 8 Use estimated eigs for coarse problem: 0 Use deluxe scaling: 0 Use deluxe zerorows: 0 Use deluxe singlemat: 0 Rebuild interface graph for Schur principal minors: 0 Number of dofs' layers for the computation of principal minors: -1 Use user CSR graph to compute successive layers: 0 Adaptive constraint selection threshold (active 0, userdefined 0): 0. Min constraints / connected component: 0 Max constraints / connected component: 0 Invert exact Schur complement for adaptive selection: 0 Symmetric computation of primal basis functions: 1 Num. Procs. to map coarse adjacency list: 0 Coarse eqs per proc (significant at the coarsest level): 1 Detect disconnected: 1 (filter 0) Benign subspace trick: 0 (change explicit 0) Benign subspace trick is active: 0 Algebraic computation of no-net-flux: 0 ********************************** STATISTICS AT LEVEL 0 ********************************** Global dofs sizes: all 1485 interface 92 coarse 10 Coarsening ratios: all/coarse 148 interface/coarse 9 Active processes : 4 Total subdomains : 5 Dofs type : MIN MAX MEAN Interior dofs : 343 361 348 Interface dofs : 33 61 46 Primal dofs : 3 8 5 Local dofs : 376 422 395 Local subs : 1 2 --- Interior solver (rank 0) KSP Object: (pc_bddc_dirichlet_) 1 MPI processes type: preonly maximum iterations=10000, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000. left preconditioning using NONE norm type for convergence test PC Object: (pc_bddc_dirichlet_) 1 MPI processes type: lu out-of-place factorization tolerance for zero pivot 2.22045e-14 matrix ordering: nd factor fill ratio given 5., needed 2.23015 Factored matrix follows: Mat Object: 1 MPI processes type: seqaij rows=345, cols=345 package used to perform factorization: petsc total: nonzeros=10533, allocated nonzeros=10533 not using I-node routines linear system matrix = precond matrix: Mat Object: (pc_bddc_dirichlet_) 1 MPI processes type: seqaij rows=345, cols=345 total: nonzeros=4723, allocated nonzeros=4723 total number of mallocs used during MatSetValues calls=0 not using I-node routines --- Correction solver (rank 0) KSP Object: (pc_bddc_neumann_) 1 MPI processes type: preonly maximum iterations=10000, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000. left preconditioning using NONE norm type for convergence test PC Object: (pc_bddc_neumann_) 1 MPI processes type: lu out-of-place factorization tolerance for zero pivot 2.22045e-14 matrix ordering: nd factor fill ratio given 5., needed 1.95449 Factored matrix follows: Mat Object: 1 MPI processes type: seqaij rows=383, cols=383 package used to perform factorization: petsc total: nonzeros=10865, allocated nonzeros=10865 not using I-node routines linear system matrix = precond matrix: Mat Object: (pc_bddc_neumann_) 1 MPI processes type: seqaij rows=383, cols=383 total: nonzeros=5559, allocated nonzeros=5559 total number of mallocs used during MatSetValues calls=0 not using I-node routines --- Coarse solver KSP Object: (pc_bddc_coarse_) 4 MPI processes type: preonly maximum iterations=1, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000. left preconditioning using NONE norm type for convergence test PC Object: (pc_bddc_coarse_) 4 MPI processes type: redundant First (color=0) of 4 PCs follows linear system matrix = precond matrix: Mat Object: (pc_bddc_coarse_) 4 MPI processes type: mpiaij rows=10, cols=10 total: nonzeros=94, allocated nonzeros=97 total number of mallocs used during MatSetValues calls=0 using I-node (on process 0) routines: found 1 nodes, limit used is 5 KSP Object: (pc_bddc_coarse_redundant_) 1 MPI processes type: preonly maximum iterations=10000, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000. left preconditioning using NONE norm type for convergence test PC Object: (pc_bddc_coarse_redundant_) 1 MPI processes type: lu out-of-place factorization tolerance for zero pivot 2.22045e-14 matrix ordering: nd factor fill ratio given 5., needed 1.02128 Factored matrix follows: Mat Object: 1 MPI processes type: seqaij rows=10, cols=10 package used to perform factorization: petsc total: nonzeros=96, allocated nonzeros=96 using I-node routines: found 4 nodes, limit used is 5 linear system matrix = precond matrix: Mat Object: 1 MPI processes type: seqaij rows=10, cols=10 total: nonzeros=94, allocated nonzeros=94 total number of mallocs used during MatSetValues calls=0 using I-node routines: found 6 nodes, limit used is 5 linear system matrix = precond matrix: Mat Object: 4 MPI processes type: is rows=1485, cols=1485 total: nonzeros=23046, allocated nonzeros=24772 total number of mallocs used during MatSetValues calls=0