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 maxstep=1.000000e+08, 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 coarse correction: deflated 77 on process #0, value (+ threshold if available) for selecting deflation vectors: 4 78 grid and operator complexities: 1.07111 1.07178 79 KSP Object: (pc_hpddm_levels_1_) 4 MPI processes 80 type: preonly 81 maximum iterations=10000, initial guess is zero 82 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 83 left preconditioning 84 using NONE norm type for convergence test 85 PC Object: (pc_hpddm_levels_1_) 4 MPI processes 86 type: bjacobi 87 number of blocks = 4 88 Local solve is same for all blocks, in the following KSP and PC objects: 89 KSP Object: (pc_hpddm_levels_1_sub_) 1 MPI processes 90 type: preonly 91 maximum iterations=10000, initial guess is zero 92 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 93 left preconditioning 94 using NONE norm type for convergence test 95 PC Object: (pc_hpddm_levels_1_sub_) 1 MPI processes 96 type: lu 97 out-of-place factorization 98 tolerance for zero pivot 2.22045e-14 99 matrix ordering: nd 100 factor fill ratio given 5., needed 1.31206 101 Factored matrix follows: 102 Mat Object: 1 MPI processes 103 type: seqaij 104 rows=42, cols=42 105 package used to perform factorization: petsc 106 total: nonzeros=370, allocated nonzeros=370 107 total number of mallocs used during MatSetValues calls=0 108 not using I-node routines 109 linear system matrix = precond matrix: 110 Mat Object: 1 MPI processes 111 type: seqaij 112 rows=42, cols=42 113 total: nonzeros=282, allocated nonzeros=282 114 total number of mallocs used during MatSetValues calls=0 115 not using I-node routines 116 linear system matrix = precond matrix: 117 Mat Object: 4 MPI processes 118 type: mpiaij 119 rows=225, cols=225 120 total: nonzeros=2229, allocated nonzeros=2229 121 total number of mallocs used during MatSetValues calls=0 122 not using I-node (on process 0) routines 123 KSP Object: (pc_hpddm_coarse_) 2 MPI processes 124 type: preonly 125 maximum iterations=10000, initial guess is zero 126 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 127 left preconditioning 128 using NONE norm type for convergence test 129 PC Object: (pc_hpddm_coarse_) 2 MPI processes 130 type: redundant 131 First (color=0) of 2 PCs follows 132 linear system matrix = precond matrix: 133 Mat Object: (pc_hpddm_coarse_) 2 MPI processes 134 type: mpisbaij 135 rows=16, cols=16, bs=4 136 total: nonzeros=160, allocated nonzeros=160 137 total number of mallocs used during MatSetValues calls=0 138 block size is 4 139 KSP Object: (pc_hpddm_coarse_redundant_) 1 MPI processes 140 type: preonly 141 maximum iterations=10000, initial guess is zero 142 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 143 left preconditioning 144 using NONE norm type for convergence test 145 PC Object: (pc_hpddm_coarse_redundant_) 1 MPI processes 146 type: cholesky 147 out-of-place factorization 148 tolerance for zero pivot 2.22045e-14 149 matrix ordering: natural 150 factor fill ratio given 5., needed 1.1 151 Factored matrix follows: 152 Mat Object: 1 MPI processes 153 type: seqsbaij 154 rows=16, cols=16, bs=4 155 package used to perform factorization: petsc 156 total: nonzeros=176, allocated nonzeros=176 157 total number of mallocs used during MatSetValues calls=0 158 block size is 4 159 linear system matrix = precond matrix: 160 Mat Object: 1 MPI processes 161 type: seqsbaij 162 rows=16, cols=16, bs=4 163 total: nonzeros=160, allocated nonzeros=160 164 total number of mallocs used during MatSetValues calls=0 165 block size is 4 166 linear system matrix = precond matrix: 167 Mat Object: 4 MPI processes 168 type: mpiaij 169 rows=225, cols=225 170 total: nonzeros=2229, allocated nonzeros=2229 171 total number of mallocs used during MatSetValues calls=0 172 not using I-node (on process 0) routines 173