1 0 SNES Function norm 0.467874 2 0 KSP Residual norm 0.216401 3 1 KSP Residual norm 0.0553349 4 2 KSP Residual norm 0.0212547 5 3 KSP Residual norm 0.0048176 6 4 KSP Residual norm 0.0021287 7 5 KSP Residual norm 0.00100956 8 6 KSP Residual norm 0.000532496 9 7 KSP Residual norm 0.000209007 10 8 KSP Residual norm 0.000139492 11 9 KSP Residual norm 0.000173401 12 10 KSP Residual norm 0.000225398 13 11 KSP Residual norm 0.000178771 14 12 KSP Residual norm 0.000135484 15 13 KSP Residual norm 0.00012088 16 14 KSP Residual norm 0.000101858 17 15 KSP Residual norm 5.80403e-05 18 16 KSP Residual norm 3.43514e-05 19 17 KSP Residual norm 3.29735e-05 20 18 KSP Residual norm 1.64922e-05 21 19 KSP Residual norm 1.48312e-05 22 20 KSP Residual norm 1.25128e-05 23 21 KSP Residual norm 8.36054e-06 24 22 KSP Residual norm 4.02426e-06 25 23 KSP Residual norm 4.6593e-06 26 24 KSP Residual norm 5.72482e-06 27 25 KSP Residual norm 4.00111e-06 28 26 KSP Residual norm 3.46507e-06 29 27 KSP Residual norm 3.96412e-06 30 28 KSP Residual norm 3.05863e-06 31 29 KSP Residual norm 2.09907e-06 32KSP Object: 5 MPI processes 33 type: cg 34 maximum iterations=10000, initial guess is zero 35 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 36 left preconditioning 37 using NATURAL norm type for convergence test 38PC Object: 5 MPI processes 39 type: mg 40 type is MULTIPLICATIVE, levels=2 cycles=v 41 Cycles per PCApply=1 42 Using Galerkin computed coarse grid matrices 43 Coarse grid solver -- level 0 ------------------------------- 44 KSP Object: (mg_coarse_) 5 MPI processes 45 type: preonly 46 maximum iterations=10000, initial guess is zero 47 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 48 left preconditioning 49 using NONE norm type for convergence test 50 PC Object: (mg_coarse_) 5 MPI processes 51 type: redundant 52 First (color=0) of 5 PCs follows 53 KSP Object: (mg_coarse_redundant_) 1 MPI process 54 type: preonly 55 maximum iterations=10000, initial guess is zero 56 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 57 left preconditioning 58 using NONE norm type for convergence test 59 PC Object: (mg_coarse_redundant_) 1 MPI process 60 type: cholesky 61 out-of-place factorization 62 tolerance for zero pivot 2.22045e-14 63 matrix ordering: nd 64 factor fill ratio given 5., needed 1. 65 Factored matrix follows: 66 Mat Object: (mg_coarse_redundant_) 1 MPI process 67 type: seqsbaij 68 rows=50, cols=50 69 package used to perform factorization: petsc 70 total: nonzeros=1275, allocated nonzeros=1275 71 block size is 1 72 linear system matrix = precond matrix: 73 Mat Object: 1 MPI process 74 type: seqaij 75 rows=50, cols=50 76 total: nonzeros=2500, allocated nonzeros=2500 77 total number of mallocs used during MatSetValues calls=0 78 using I-node routines: found 10 nodes, limit used is 5 79 linear system matrix = precond matrix: 80 Mat Object: 5 MPI processes 81 type: mpiaij 82 rows=50, cols=50 83 total: nonzeros=2500, allocated nonzeros=2500 84 total number of mallocs used during MatSetValues calls=0 85 using nonscalable MatPtAP() implementation 86 using I-node (on process 0) routines: found 2 nodes, limit used is 5 87 Down solver (pre-smoother) on level 1 ------------------------------- 88 KSP Object: (mg_levels_1_) 5 MPI processes 89 type: chebyshev 90 eigenvalue targets used: min 0.237828, max 2.61611 91 eigenvalues estimated via cg: min 0.0240432, max 2.37828 92 eigenvalues estimated using cg with transform: [0. 0.1; 0. 1.1] 93 KSP Object: (mg_levels_1_esteig_) 5 MPI processes 94 type: cg 95 maximum iterations=10, initial guess is zero 96 tolerances: relative=1e-12, absolute=1e-50, divergence=10000. 97 left preconditioning 98 using PRECONDITIONED norm type for convergence test 99 PC Object: 5 MPI processes 100 type not yet set 101 PC has not been set up so information may be incomplete 102 estimating eigenvalues using noisy right hand side 103 maximum iterations=2, nonzero initial guess 104 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 105 left preconditioning 106 using NONE norm type for convergence test 107 PC Object: (mg_levels_1_) 5 MPI processes 108 type: bjacobi 109 number of blocks = 5 110 Local solver information for first block is in the following KSP and PC objects on rank 0: 111 Use -mg_levels_1_ksp_view ::ascii_info_detail to display information for all blocks 112 KSP Object: (mg_levels_1_sub_) 1 MPI process 113 type: preonly 114 maximum iterations=10000, initial guess is zero 115 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 116 left preconditioning 117 using NONE norm type for convergence test 118 PC Object: (mg_levels_1_sub_) 1 MPI process 119 type: icc 120 out-of-place factorization 121 0 levels of fill 122 tolerance for zero pivot 2.22045e-14 123 using Manteuffel shift [POSITIVE_DEFINITE] 124 matrix ordering: natural 125 factor fill ratio given 1., needed 1. 126 Factored matrix follows: 127 Mat Object: (mg_levels_1_sub_) 1 MPI process 128 type: seqsbaij 129 rows=28, cols=28 130 package used to perform factorization: petsc 131 total: nonzeros=226, allocated nonzeros=226 132 block size is 1 133 linear system matrix = precond matrix: 134 Mat Object: (mg_levels_1_sub_) 1 MPI process 135 type: seqaij 136 rows=28, cols=28 137 total: nonzeros=424, allocated nonzeros=424 138 total number of mallocs used during MatSetValues calls=0 139 using I-node routines: found 10 nodes, limit used is 5 140 linear system matrix = precond matrix: 141 Mat Object: 5 MPI processes 142 type: mpiaij 143 rows=252, cols=252 144 total: nonzeros=11872, allocated nonzeros=11872 145 total number of mallocs used during MatSetValues calls=0 146 has attached near null space 147 using I-node (on process 0) routines: found 10 nodes, limit used is 5 148 Up solver (post-smoother) same as down solver (pre-smoother) 149 linear system matrix = precond matrix: 150 Mat Object: 5 MPI processes 151 type: mpiaij 152 rows=252, cols=252 153 total: nonzeros=11872, allocated nonzeros=11872 154 total number of mallocs used during MatSetValues calls=0 155 has attached near null space 156 using I-node (on process 0) routines: found 10 nodes, limit used is 5 157 1 SNES Function norm 5.93822e-06 158