0 SNES Function norm 10.2781 0 KSP Residual norm 10.2527 1 KSP Residual norm 2.66547 2 KSP Residual norm 2.14954 3 KSP Residual norm 0.936704 Linear solve converged due to CONVERGED_RTOL iterations 3 1 SNES Function norm 1.3995 0 KSP Residual norm 0.936704 1 KSP Residual norm 0.56997 2 KSP Residual norm 0.452168 3 KSP Residual norm 0.37517 4 KSP Residual norm 0.321505 5 KSP Residual norm 0.228601 6 KSP Residual norm 0.0993375 7 KSP Residual norm 0.0431408 Linear solve converged due to CONVERGED_RTOL iterations 7 2 SNES Function norm 0.0726869 0 KSP Residual norm 0.0431408 1 KSP Residual norm 0.0274385 2 KSP Residual norm 0.0189555 3 KSP Residual norm 0.00937105 4 KSP Residual norm 0.00494458 5 KSP Residual norm 0.00282835 Linear solve converged due to CONVERGED_RTOL iterations 5 3 SNES Function norm 0.0109837 0 KSP Residual norm 0.00282835 1 KSP Residual norm 0.00207835 2 KSP Residual norm 0.00187177 3 KSP Residual norm 0.00143279 4 KSP Residual norm 0.00106782 5 KSP Residual norm 0.000569083 6 KSP Residual norm 0.000357915 7 KSP Residual norm 0.000258279 Linear solve converged due to CONVERGED_RTOL iterations 7 4 SNES Function norm 0.00175073 0 KSP Residual norm 0.000258279 1 KSP Residual norm 0.000218845 2 KSP Residual norm 0.000191138 3 KSP Residual norm 0.000118262 4 KSP Residual norm 6.13427e-05 5 KSP Residual norm 4.39412e-05 6 KSP Residual norm 2.57659e-05 Linear solve converged due to CONVERGED_RTOL iterations 6 5 SNES Function norm 5.28417e-05 0 KSP Residual norm 2.57659e-05 1 KSP Residual norm 1.71353e-05 2 KSP Residual norm 1.31089e-05 3 KSP Residual norm 8.7226e-06 4 KSP Residual norm 5.13095e-06 5 KSP Residual norm 3.49879e-06 6 KSP Residual norm 2.48189e-06 Linear solve converged due to CONVERGED_RTOL iterations 6 6 SNES Function norm 1.21325e-05 0 KSP Residual norm 2.48189e-06 1 KSP Residual norm 2.21913e-06 2 KSP Residual norm 1.6028e-06 3 KSP Residual norm 1.22505e-06 4 KSP Residual norm 8.16615e-07 5 KSP Residual norm 5.14292e-07 6 KSP Residual norm 3.18465e-07 7 KSP Residual norm 2.31207e-07 Linear solve converged due to CONVERGED_RTOL iterations 7 7 SNES Function norm 6.84681e-07 0 KSP Residual norm 2.31207e-07 1 KSP Residual norm 1.59653e-07 2 KSP Residual norm 8.91299e-08 3 KSP Residual norm 6.58494e-08 4 KSP Residual norm 3.97919e-08 5 KSP Residual norm 2.89634e-08 6 KSP Residual norm 1.89701e-08 Linear solve converged due to CONVERGED_RTOL iterations 6 8 SNES Function norm 1.188e-07 0 KSP Residual norm 1.89701e-08 1 KSP Residual norm 1.46063e-08 2 KSP Residual norm 1.19679e-08 3 KSP Residual norm 9.9971e-09 4 KSP Residual norm 6.14893e-09 5 KSP Residual norm 3.83795e-09 6 KSP Residual norm 2.62872e-09 7 KSP Residual norm 1.50313e-09 Linear solve converged due to CONVERGED_RTOL iterations 7 9 SNES Function norm 2.22137e-09 L_2 Error: 0.000629252 Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 9 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=54 total number of function evaluations=10 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 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 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_sub_) 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 1.9272 Factored matrix follows: Mat Object: 1 MPI processes 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 processes 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 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_redundant_) 1 MPI processes 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: 1 MPI processes 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 processes 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