1 0 KSP Residual norm 0.0443241 2 Residual norms for mg_levels_1_ solve. 3 0 KSP Residual norm 2.33385 4 1 KSP Residual norm 1.18269 5 2 KSP Residual norm 0.367737 6 Residual norms for mg_levels_1_ solve. 7 0 KSP Residual norm 0.372534 8 1 KSP Residual norm 0.190318 9 2 KSP Residual norm 0.0612006 10 Residual norms for mg_levels_2_ solve. 11 0 KSP Residual norm 1.65824 12 1 KSP Residual norm 0.864691 13 2 KSP Residual norm 0.214791 14 Residual norms for mg_levels_1_ solve. 15 0 KSP Residual norm 0.0276895 16 1 KSP Residual norm 0.0154796 17 2 KSP Residual norm 0.00702236 18 Residual norms for mg_levels_1_ solve. 19 0 KSP Residual norm 0.00783567 20 1 KSP Residual norm 0.00476578 21 2 KSP Residual norm 0.00137409 22 Residual norms for mg_levels_2_ solve. 23 0 KSP Residual norm 0.217797 24 1 KSP Residual norm 0.116558 25 2 KSP Residual norm 0.0312166 26 1 KSP Residual norm 0.00138323 27 Residual norms for mg_levels_1_ solve. 28 0 KSP Residual norm 0.26684 29 1 KSP Residual norm 0.173881 30 2 KSP Residual norm 0.061286 31 Residual norms for mg_levels_1_ solve. 32 0 KSP Residual norm 0.0629698 33 1 KSP Residual norm 0.0351539 34 2 KSP Residual norm 0.0119135 35 Residual norms for mg_levels_2_ solve. 36 0 KSP Residual norm 0.982198 37 1 KSP Residual norm 0.561428 38 2 KSP Residual norm 0.152152 39 Residual norms for mg_levels_1_ solve. 40 0 KSP Residual norm 0.0507925 41 1 KSP Residual norm 0.0331169 42 2 KSP Residual norm 0.00961403 43 Residual norms for mg_levels_1_ solve. 44 0 KSP Residual norm 0.0100591 45 1 KSP Residual norm 0.00669029 46 2 KSP Residual norm 0.00249984 47 Residual norms for mg_levels_2_ solve. 48 0 KSP Residual norm 0.16365 49 1 KSP Residual norm 0.100099 50 2 KSP Residual norm 0.0346352 51 2 KSP Residual norm 3.36276e-05 52 Residual norms for mg_levels_1_ solve. 53 0 KSP Residual norm 0.574261 54 1 KSP Residual norm 0.370644 55 2 KSP Residual norm 0.103663 56 Residual norms for mg_levels_1_ solve. 57 0 KSP Residual norm 0.095791 58 1 KSP Residual norm 0.0584995 59 2 KSP Residual norm 0.0234572 60 Residual norms for mg_levels_2_ solve. 61 0 KSP Residual norm 1.13144 62 1 KSP Residual norm 0.657896 63 2 KSP Residual norm 0.198591 64 Residual norms for mg_levels_1_ solve. 65 0 KSP Residual norm 0.132276 66 1 KSP Residual norm 0.0940755 67 2 KSP Residual norm 0.0309249 68 Residual norms for mg_levels_1_ solve. 69 0 KSP Residual norm 0.0234275 70 1 KSP Residual norm 0.0102593 71 2 KSP Residual norm 0.00680986 72 Residual norms for mg_levels_2_ solve. 73 0 KSP Residual norm 0.238703 74 1 KSP Residual norm 0.158193 75 2 KSP Residual norm 0.0604068 76 3 KSP Residual norm 1.97101e-06 77 Residual norms for mg_levels_1_ solve. 78 0 KSP Residual norm 0.495273 79 1 KSP Residual norm 0.234702 80 2 KSP Residual norm 0.146941 81 Residual norms for mg_levels_1_ solve. 82 0 KSP Residual norm 0.19482 83 1 KSP Residual norm 0.115058 84 2 KSP Residual norm 0.0323438 85 Residual norms for mg_levels_2_ solve. 86 0 KSP Residual norm 0.852783 87 1 KSP Residual norm 0.42757 88 2 KSP Residual norm 0.242289 89 Residual norms for mg_levels_1_ solve. 90 0 KSP Residual norm 0.100108 91 1 KSP Residual norm 0.0444515 92 2 KSP Residual norm 0.037141 93 Residual norms for mg_levels_1_ solve. 94 0 KSP Residual norm 0.0466498 95 1 KSP Residual norm 0.0264831 96 2 KSP Residual norm 0.00780339 97 Residual norms for mg_levels_2_ solve. 98 0 KSP Residual norm 0.28356 99 1 KSP Residual norm 0.155117 100 2 KSP Residual norm 0.0560442 101 4 KSP Residual norm 1.01338e-07 102KSP Object: 1 MPI processes 103 type: fgmres 104 restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement 105 happy breakdown tolerance 1e-30 106 maximum iterations=10000, initial guess is zero 107 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 108 right preconditioning 109 using UNPRECONDITIONED norm type for convergence test 110PC Object: 1 MPI processes 111 type: mg 112 type is FULL, levels=3 cycles=v 113 Not using Galerkin computed coarse grid matrices 114 Coarse grid solver -- level ------------------------------- 115 KSP Object: (mg_coarse_) 1 MPI processes 116 type: preonly 117 maximum iterations=10000, initial guess is zero 118 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 119 left preconditioning 120 using NONE norm type for convergence test 121 PC Object: (mg_coarse_) 1 MPI processes 122 type: lu 123 out-of-place factorization 124 tolerance for zero pivot 2.22045e-14 125 using diagonal shift on blocks to prevent zero pivot [INBLOCKS] 126 matrix ordering: nd 127 factor fill ratio given 5., needed 1.60209 128 Factored matrix follows: 129 Mat Object: 1 MPI processes 130 type: seqaij 131 rows=128, cols=128 132 package used to perform factorization: petsc 133 total: nonzeros=612, allocated nonzeros=612 134 not using I-node routines 135 linear system matrix = precond matrix: 136 Mat Object: 1 MPI processes 137 type: seqaij 138 rows=128, cols=128 139 total: nonzeros=382, allocated nonzeros=384 140 total number of mallocs used during MatSetValues calls=0 141 not using I-node routines 142 Down solver (pre-smoother) on level 1 ------------------------------- 143 KSP Object: (mg_levels_1_) 1 MPI processes 144 type: chebyshev 145 eigenvalue estimates used: min = 0.099124, max = 1.09036 146 eigenvalues estimate via gmres min 0.0171844, max 0.99124 147 eigenvalues estimated using gmres with translations [0. 0.1; 0. 1.1] 148 KSP Object: (mg_levels_1_esteig_) 1 MPI processes 149 type: gmres 150 restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement 151 happy breakdown tolerance 1e-30 152 maximum iterations=10, initial guess is zero 153 tolerances: relative=1e-12, absolute=1e-50, divergence=10000. 154 left preconditioning 155 using PRECONDITIONED norm type for convergence test 156 estimating eigenvalues using noisy right hand side 157 maximum iterations=2, nonzero initial guess 158 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 159 left preconditioning 160 using UNPRECONDITIONED norm type for convergence test 161 PC Object: (mg_levels_1_) 1 MPI processes 162 type: sor 163 type = local_symmetric, iterations = 1, local iterations = 1, omega = 1. 164 linear system matrix = precond matrix: 165 Mat Object: 1 MPI processes 166 type: seqaij 167 rows=255, cols=255 168 total: nonzeros=763, allocated nonzeros=765 169 total number of mallocs used during MatSetValues calls=0 170 not using I-node routines 171 Up solver (post-smoother) same as down solver (pre-smoother) 172 Down solver (pre-smoother) on level 2 ------------------------------- 173 KSP Object: (mg_levels_2_) 1 MPI processes 174 type: chebyshev 175 eigenvalue estimates used: min = 0.0977779, max = 1.07556 176 eigenvalues estimate via gmres min 0.00339269, max 0.977779 177 eigenvalues estimated using gmres with translations [0. 0.1; 0. 1.1] 178 KSP Object: (mg_levels_2_esteig_) 1 MPI processes 179 type: gmres 180 restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement 181 happy breakdown tolerance 1e-30 182 maximum iterations=10, initial guess is zero 183 tolerances: relative=1e-12, absolute=1e-50, divergence=10000. 184 left preconditioning 185 using PRECONDITIONED norm type for convergence test 186 estimating eigenvalues using noisy right hand side 187 maximum iterations=2, nonzero initial guess 188 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 189 left preconditioning 190 using UNPRECONDITIONED norm type for convergence test 191 PC Object: (mg_levels_2_) 1 MPI processes 192 type: sor 193 type = local_symmetric, iterations = 1, local iterations = 1, omega = 1. 194 linear system matrix = precond matrix: 195 Mat Object: 1 MPI processes 196 type: seqaij 197 rows=509, cols=509 198 total: nonzeros=1525, allocated nonzeros=1527 199 total number of mallocs used during MatSetValues calls=0 200 not using I-node routines 201 Up solver (post-smoother) same as down solver (pre-smoother) 202 linear system matrix = precond matrix: 203 Mat Object: 1 MPI processes 204 type: seqaij 205 rows=509, cols=509 206 total: nonzeros=1525, allocated nonzeros=1527 207 total number of mallocs used during MatSetValues calls=0 208 not using I-node routines 209Residual norm 5.83374e-08 210