1 0 SNES Function norm 11.2854 2 0 KSP Residual norm 10.7468 3 1 KSP Residual norm 0.859968 4 Linear solve converged due to CONVERGED_RTOL iterations 1 5 1 SNES Function norm 2.37215 6 0 KSP Residual norm 0.859968 7 1 KSP Residual norm 0.36619 8 2 KSP Residual norm 0.156019 9 3 KSP Residual norm 0.0404001 10 Linear solve converged due to CONVERGED_RTOL iterations 3 11 2 SNES Function norm 0.126042 12 0 KSP Residual norm 0.0404001 13 1 KSP Residual norm 0.0222502 14 2 KSP Residual norm 0.00654102 15 3 KSP Residual norm 0.00287769 16 Linear solve converged due to CONVERGED_RTOL iterations 3 17 3 SNES Function norm 0.00959685 18 0 KSP Residual norm 0.00287769 19 1 KSP Residual norm 0.00144493 20 2 KSP Residual norm 0.000645135 21 3 KSP Residual norm 0.000207281 22 Linear solve converged due to CONVERGED_RTOL iterations 3 23 4 SNES Function norm 0.000601202 24 0 KSP Residual norm 0.000207281 25 1 KSP Residual norm 9.98348e-05 26 2 KSP Residual norm 3.38896e-05 27 3 KSP Residual norm 1.59084e-05 28 Linear solve converged due to CONVERGED_RTOL iterations 3 29 5 SNES Function norm 5.11301e-05 30 0 KSP Residual norm 1.59084e-05 31 1 KSP Residual norm 8.95606e-06 32 2 KSP Residual norm 3.85819e-06 33 3 KSP Residual norm 1.12629e-06 34 Linear solve converged due to CONVERGED_RTOL iterations 3 35 6 SNES Function norm 3.41277e-06 36 0 KSP Residual norm 1.12629e-06 37 1 KSP Residual norm 5.16268e-07 38 2 KSP Residual norm 1.69075e-07 39 3 KSP Residual norm 8.34073e-08 40 Linear solve converged due to CONVERGED_RTOL iterations 3 41 7 SNES Function norm 2.68082e-07 42 0 KSP Residual norm 8.34073e-08 43 1 KSP Residual norm 4.84996e-08 44 2 KSP Residual norm 1.99918e-08 45 3 KSP Residual norm 5.65355e-09 46 Linear solve converged due to CONVERGED_RTOL iterations 3 47 8 SNES Function norm 1.79858e-08 48L_2 Error: 5.33424e-10 49Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 8 50SNES Object: 4 MPI processes 51 type: newtonls 52 maximum iterations=50, maximum function evaluations=10000 53 tolerances: relative=1e-08, absolute=1e-50, solution=1e-08 54 total number of linear solver iterations=22 55 total number of function evaluations=9 56 norm schedule ALWAYS 57 SNESLineSearch Object: 4 MPI processes 58 type: bt 59 interpolation: cubic 60 alpha=1.000000e-04 61 maxlambda=1.000000e+00, minlambda=1.000000e-12 62 tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08 63 maximum iterations=40 64 KSP Object: 4 MPI processes 65 type: gmres 66 restart=100, using classical (unmodified) Gram-Schmidt orthogonalization with no iterative refinement 67 happy breakdown tolerance=1e-30 68 maximum iterations=10000, initial guess is zero 69 tolerances: relative=0.1, absolute=1e-50, divergence=10000. 70 left preconditioning 71 using PRECONDITIONED norm type for convergence test 72 PC Object: 4 MPI processes 73 type: hpddm 74 levels: 2 75 Neumann matrix attached? TRUE 76 shared subdomain KSP between SLEPc and PETSc? FALSE 77 coarse correction: DEFLATED 78 on process #0, value (+ threshold if available) for selecting deflation vectors: 4 79 grid and operator complexities: 1.07111 1.07178 80 KSP Object: (pc_hpddm_levels_1_) 4 MPI processes 81 type: preonly 82 maximum iterations=10000, initial guess is zero 83 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 84 left preconditioning 85 not checking for convergence 86 PC Object: (pc_hpddm_levels_1_) 4 MPI processes 87 type: shell 88 no name 89 linear system matrix, which is also used to construct the preconditioner: 90 Mat Object: 4 MPI processes 91 type: mpiaij 92 rows=225, cols=225 93 total: nonzeros=2229, allocated nonzeros=2229 94 total number of mallocs used during MatSetValues calls=0 95 not using I-node (on process 0) routines 96 PC Object: (pc_hpddm_levels_1_) 4 MPI processes 97 type: bjacobi 98 number of blocks = 4 99 Local solver information for first block is in the following KSP and PC objects on rank 0: 100 Use -pc_hpddm_levels_1_ksp_view ::ascii_info_detail to display information for all blocks 101 KSP Object: (pc_hpddm_levels_1_sub_) 1 MPI process 102 type: preonly 103 maximum iterations=10000, initial guess is zero 104 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 105 left preconditioning 106 not checking for convergence 107 PC Object: (pc_hpddm_levels_1_sub_) 1 MPI process 108 type: lu 109 out-of-place factorization 110 tolerance for zero pivot 2.22045e-14 111 matrix ordering: nd 112 factor fill ratio given 5., needed 1.31206 113 Factored matrix: 114 Mat Object: (pc_hpddm_levels_1_sub_) 1 MPI process 115 type: seqaij 116 rows=42, cols=42 117 package used to perform factorization: petsc 118 total: nonzeros=370, allocated nonzeros=370 119 not using I-node routines 120 linear system matrix, which is also used to construct the preconditioner: 121 Mat Object: (pc_hpddm_levels_1_sub_) 1 MPI process 122 type: seqaij 123 rows=42, cols=42 124 total: nonzeros=282, allocated nonzeros=282 125 total number of mallocs used during MatSetValues calls=0 126 not using I-node routines 127 linear system matrix, which is also used to construct the preconditioner: 128 Mat Object: 4 MPI processes 129 type: mpiaij 130 rows=225, cols=225 131 total: nonzeros=2229, allocated nonzeros=2229 132 total number of mallocs used during MatSetValues calls=0 133 not using I-node (on process 0) routines 134 KSP Object: (pc_hpddm_coarse_) 2 MPI processes 135 type: preonly 136 maximum iterations=10000, initial guess is zero 137 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 138 left preconditioning 139 not checking for convergence 140 PC Object: (pc_hpddm_coarse_) 2 MPI processes 141 type: redundant 142 First (color=0) of 2 PCs follows 143 KSP Object: (pc_hpddm_coarse_redundant_) 1 MPI process 144 type: preonly 145 maximum iterations=10000, initial guess is zero 146 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 147 left preconditioning 148 not checking for convergence 149 PC Object: (pc_hpddm_coarse_redundant_) 1 MPI process 150 type: cholesky 151 out-of-place factorization 152 tolerance for zero pivot 2.22045e-14 153 matrix ordering: natural 154 factor fill ratio given 5., needed 1.1 155 Factored matrix: 156 Mat Object: (pc_hpddm_coarse_redundant_) 1 MPI process 157 type: seqsbaij 158 rows=16, cols=16, bs=4 159 package used to perform factorization: petsc 160 total: nonzeros=176, allocated nonzeros=176 161 linear system matrix, which is also used to construct the preconditioner: 162 Mat Object: 1 MPI process 163 type: seqsbaij 164 rows=16, cols=16, bs=4 165 total: nonzeros=160, allocated nonzeros=160 166 total number of mallocs used during MatSetValues calls=0 167 linear system matrix, which is also used to construct the preconditioner: 168 Mat Object: (pc_hpddm_coarse_) 2 MPI processes 169 type: mpisbaij 170 rows=16, cols=16, bs=4 171 total: nonzeros=160, allocated nonzeros=160 172 total number of mallocs used during MatSetValues calls=0 173 linear system matrix, which is also used to construct the preconditioner: 174 Mat Object: 4 MPI processes 175 type: mpiaij 176 rows=225, cols=225 177 total: nonzeros=2229, allocated nonzeros=2229 178 total number of mallocs used during MatSetValues calls=0 179 not using I-node (on process 0) routines 180