1 0 SNES Function norm 0.252383 2 1 SNES Function norm 0.0738456 3 2 SNES Function norm 0.0155009 4 3 SNES Function norm 0.000871577 5 4 SNES Function norm 1.96312e-06 6 5 SNES Function norm 1.029e-11 7SNES Object: 4 MPI processes 8 type: newtonls 9 maximum iterations=50, maximum function evaluations=10000 10 tolerances: relative=1e-08, absolute=1e-50, solution=1e-08 11 total number of linear solver iterations=20 12 total number of function evaluations=6 13 norm schedule ALWAYS 14 SNESLineSearch Object: 4 MPI processes 15 type: bt 16 interpolation: cubic 17 alpha=1.000000e-04 18 maxstep=1.000000e+08, minlambda=1.000000e-12 19 tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08 20 maximum iterations=40 21 KSP Object: 4 MPI processes 22 type: fgmres 23 restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement 24 happy breakdown tolerance 1e-30 25 maximum iterations=10000, initial guess is zero 26 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 27 right preconditioning 28 using UNPRECONDITIONED norm type for convergence test 29 PC Object: 4 MPI processes 30 type: mg 31 type is FULL, levels=2 cycles=v 32 Using Galerkin computed coarse grid matrices for pmat 33 Coarse grid solver -- level ------------------------------- 34 KSP Object: (mg_coarse_) 4 MPI processes 35 type: preonly 36 maximum iterations=10000, initial guess is zero 37 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 38 left preconditioning 39 using NONE norm type for convergence test 40 PC Object: (mg_coarse_) 4 MPI processes 41 type: redundant 42 First (color=0) of 4 PCs follows 43 KSP Object: (mg_coarse_redundant_) 1 MPI processes 44 type: preonly 45 maximum iterations=10000, initial guess is zero 46 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 47 left preconditioning 48 using NONE norm type for convergence test 49 PC Object: (mg_coarse_redundant_) 1 MPI processes 50 type: lu 51 out-of-place factorization 52 tolerance for zero pivot 2.22045e-14 53 using diagonal shift on blocks to prevent zero pivot [INBLOCKS] 54 matrix ordering: nd 55 factor fill ratio given 5., needed 1.19825 56 Factored matrix follows: 57 Mat Object: 1 MPI processes 58 type: seqaij 59 rows=27, cols=27 60 package used to perform factorization: petsc 61 total: nonzeros=411, allocated nonzeros=411 62 total number of mallocs used during MatSetValues calls=0 63 not using I-node routines 64 linear system matrix = precond matrix: 65 Mat Object: 1 MPI processes 66 type: seqaij 67 rows=27, cols=27 68 total: nonzeros=343, allocated nonzeros=343 69 total number of mallocs used during MatSetValues calls=0 70 not using I-node routines 71 linear system matrix = precond matrix: 72 Mat Object: 4 MPI processes 73 type: mpiaij 74 rows=27, cols=27 75 total: nonzeros=343, allocated nonzeros=343 76 total number of mallocs used during MatSetValues calls=0 77 using nonscalable MatPtAP() implementation 78 not using I-node (on process 0) routines 79 Down solver (pre-smoother) on level 1 ------------------------------- 80 KSP Object: (mg_levels_1_) 4 MPI processes 81 type: chebyshev 82 eigenvalue estimates used: min = 0.138238, max = 1.52061 83 eigenvalues estimate via gmres min 0.118037, max 1.38238 84 eigenvalues estimated using gmres with translations [0. 0.1; 0. 1.1] 85 KSP Object: (mg_levels_1_esteig_) 4 MPI processes 86 type: gmres 87 restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement 88 happy breakdown tolerance 1e-30 89 maximum iterations=10, initial guess is zero 90 tolerances: relative=1e-12, absolute=1e-50, divergence=10000. 91 left preconditioning 92 using PRECONDITIONED norm type for convergence test 93 estimating eigenvalues using noisy right hand side 94 maximum iterations=2, nonzero initial guess 95 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 96 left preconditioning 97 using NONE norm type for convergence test 98 PC Object: (mg_levels_1_) 4 MPI processes 99 type: sor 100 type = local_symmetric, iterations = 1, local iterations = 1, omega = 1. 101 linear system matrix = precond matrix: 102 Mat Object: 4 MPI processes 103 type: mpiaij 104 rows=125, cols=125 105 total: nonzeros=725, allocated nonzeros=725 106 total number of mallocs used during MatSetValues calls=0 107 Up solver (post-smoother) same as down solver (pre-smoother) 108 linear system matrix = precond matrix: 109 Mat Object: 4 MPI processes 110 type: mpiaij 111 rows=125, cols=125 112 total: nonzeros=725, allocated nonzeros=725 113 total number of mallocs used during MatSetValues calls=0 114Number of SNES iterations = 5 115Number of Linear iterations = 20 116Average Linear its / SNES = 4.000000e+00 117