0 SNES Function norm 10.2781 0 KSP Residual norm 10.1621 1 KSP Residual norm 2.54801 2 KSP Residual norm 1.58203 3 KSP Residual norm 0.838201 Linear solve converged due to CONVERGED_RTOL iterations 3 1 SNES Function norm 1.05621 0 KSP Residual norm 0.838201 1 KSP Residual norm 0.650324 2 KSP Residual norm 0.360822 3 KSP Residual norm 0.20776 4 KSP Residual norm 0.0960564 5 KSP Residual norm 0.0567234 Linear solve converged due to CONVERGED_RTOL iterations 5 2 SNES Function norm 0.0576719 0 KSP Residual norm 0.0567234 1 KSP Residual norm 0.0496642 2 KSP Residual norm 0.0369519 3 KSP Residual norm 0.0131327 4 KSP Residual norm 0.0099831 5 KSP Residual norm 0.00717354 6 KSP Residual norm 0.0023424 Linear solve converged due to CONVERGED_RTOL iterations 6 3 SNES Function norm 0.00345787 0 KSP Residual norm 0.0023424 1 KSP Residual norm 0.0017353 2 KSP Residual norm 0.00105718 3 KSP Residual norm 0.000557015 4 KSP Residual norm 0.000351944 5 KSP Residual norm 0.000179459 Linear solve converged due to CONVERGED_RTOL iterations 5 4 SNES Function norm 0.000200279 0 KSP Residual norm 0.000179459 1 KSP Residual norm 0.000131462 2 KSP Residual norm 6.26777e-05 3 KSP Residual norm 3.85537e-05 4 KSP Residual norm 3.0915e-05 5 KSP Residual norm 1.51535e-05 Linear solve converged due to CONVERGED_RTOL iterations 5 5 SNES Function norm 2.6724e-05 0 KSP Residual norm 1.51535e-05 1 KSP Residual norm 6.6192e-06 2 KSP Residual norm 4.47144e-06 3 KSP Residual norm 3.99377e-06 4 KSP Residual norm 1.5097e-06 Linear solve converged due to CONVERGED_RTOL iterations 4 6 SNES Function norm 2.32971e-06 0 KSP Residual norm 1.5097e-06 1 KSP Residual norm 9.72569e-07 2 KSP Residual norm 7.30195e-07 3 KSP Residual norm 3.51447e-07 4 KSP Residual norm 1.92251e-07 5 KSP Residual norm 9.94109e-08 Linear solve converged due to CONVERGED_RTOL iterations 5 7 SNES Function norm 1.05177e-07 0 KSP Residual norm 9.94109e-08 1 KSP Residual norm 5.71902e-08 2 KSP Residual norm 2.33661e-08 3 KSP Residual norm 1.62885e-08 4 KSP Residual norm 1.13486e-08 5 KSP Residual norm 6.76605e-09 Linear solve converged due to CONVERGED_RTOL iterations 5 8 SNES Function norm 1.34519e-08 L_2 Error: 0.000629251 Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 8 SNES Object: 4 MPI processes type: newtonls maximum iterations=50, maximum function evaluations=10000 tolerances: relative=1e-08, absolute=1e-50, solution=1e-08 total number of linear solver iterations=38 total number of function evaluations=9 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: gmres restart=100, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement happy breakdown tolerance 1e-30 maximum iterations=10000, initial guess is zero tolerances: relative=0.1, absolute=1e-50, divergence=10000. left preconditioning using PRECONDITIONED norm type for convergence test PC Object: 4 MPI processes type: hpddm levels: 2 Neumann matrix attached? TRUE shared subdomain KSP between SLEPc and PETSc? FALSE coarse correction: DEFLATED on process #0, value (+ threshold if available) for selecting deflation vectors: 0 (0.1) grid and operator complexities: 1.0039 1.00046 KSP Object: (pc_hpddm_levels_1_) 4 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_hpddm_levels_1_) 4 MPI processes type: shell no name linear system matrix = precond matrix: Mat Object: 4 MPI processes type: mpiaij rows=513, cols=513 total: nonzeros=4345, allocated nonzeros=4345 total number of mallocs used during MatSetValues calls=0 not using I-node (on process 0) routines PC Object: (pc_hpddm_levels_1_) 4 MPI processes type: bjacobi number of blocks = 4 Local solver information for first block is in the following KSP and PC objects on rank 0: Use -pc_hpddm_levels_1_ksp_view ::ascii_info_detail to display information for all blocks KSP Object: (pc_hpddm_levels_1_sub_) 1 MPI process 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_hpddm_levels_1_sub_) 1 MPI process type: lu out-of-place factorization tolerance for zero pivot 2.22045e-14 matrix ordering: nd factor fill ratio given 5., needed 1.9272 Factored matrix follows: Mat Object: (pc_hpddm_levels_1_sub_) 1 MPI process type: seqaij rows=109, cols=109 package used to perform factorization: petsc total: nonzeros=1509, allocated nonzeros=1509 not using I-node routines linear system matrix = precond matrix: Mat Object: (pc_hpddm_levels_1_sub_) 1 MPI process type: seqaij rows=109, cols=109 total: nonzeros=783, allocated nonzeros=783 total number of mallocs used during MatSetValues calls=0 not using I-node routines linear system matrix = precond matrix: Mat Object: 4 MPI processes type: mpiaij rows=513, cols=513 total: nonzeros=4345, allocated nonzeros=4345 total number of mallocs used during MatSetValues calls=0 not using I-node (on process 0) routines KSP Object: (pc_hpddm_coarse_) 2 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_hpddm_coarse_) 2 MPI processes type: redundant First (color=0) of 2 PCs follows linear system matrix = precond matrix: Mat Object: (pc_hpddm_coarse_) 2 MPI processes type: mpisbaij rows=2, cols=2 total: nonzeros=2, allocated nonzeros=2 total number of mallocs used during MatSetValues calls=0 block size is 1 KSP Object: (pc_hpddm_coarse_redundant_) 1 MPI process 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_hpddm_coarse_redundant_) 1 MPI process type: cholesky out-of-place factorization tolerance for zero pivot 2.22045e-14 matrix ordering: natural factor fill ratio given 5., needed 1. Factored matrix follows: Mat Object: (pc_hpddm_coarse_redundant_) 1 MPI process type: seqsbaij rows=2, cols=2 package used to perform factorization: petsc total: nonzeros=2, allocated nonzeros=2 block size is 1 linear system matrix = precond matrix: Mat Object: 1 MPI process type: seqsbaij rows=2, cols=2 total: nonzeros=2, allocated nonzeros=2 total number of mallocs used during MatSetValues calls=0 block size is 1 linear system matrix = precond matrix: Mat Object: 4 MPI processes type: mpiaij rows=513, cols=513 total: nonzeros=4345, allocated nonzeros=4345 total number of mallocs used during MatSetValues calls=0 not using I-node (on process 0) routines