1 0 SNES Function norm 0.137187 2 0 KSP Residual norm 0.0751492 3 1 KSP Residual norm 0.0303034 4 2 KSP Residual norm 0.0188899 5 3 KSP Residual norm 0.0117752 6 4 KSP Residual norm 0.00734021 7 5 KSP Residual norm 0.0045756 8 6 KSP Residual norm 0.00285225 9 7 KSP Residual norm 0.00177798 10 8 KSP Residual norm 0.00110832 11 9 KSP Residual norm 0.000690883 12 10 KSP Residual norm 0.000430669 13 11 KSP Residual norm 0.000268462 14 12 KSP Residual norm 0.000167349 15 13 KSP Residual norm 0.000104319 16 14 KSP Residual norm 6.5028e-05 17 15 KSP Residual norm 4.05359e-05 18 16 KSP Residual norm 2.52685e-05 19 17 KSP Residual norm 1.57514e-05 20 18 KSP Residual norm 9.81878e-06 21 19 KSP Residual norm 6.12064e-06 22 20 KSP Residual norm 3.81536e-06 23 21 KSP Residual norm 2.37835e-06 24 22 KSP Residual norm 1.48257e-06 25 23 KSP Residual norm 9.24174e-07 26 24 KSP Residual norm 5.76093e-07 27 25 KSP Residual norm 3.59114e-07 28 26 KSP Residual norm 2.23857e-07 29 27 KSP Residual norm 1.39544e-07 30 28 KSP Residual norm 8.69861e-08 31 29 KSP Residual norm 5.42237e-08 32 30 KSP Residual norm 3.38009e-08 33 31 KSP Residual norm 2.10701e-08 34 32 KSP Residual norm 1.31343e-08 35 33 KSP Residual norm 8.1874e-09 36 34 KSP Residual norm 5.1037e-09 37 35 KSP Residual norm 3.18144e-09 38 36 KSP Residual norm 1.98319e-09 39 37 KSP Residual norm 1.23624e-09 40 38 KSP Residual norm 7.706e-10 41 39 KSP Residual norm 4.804e-10 42 40 KSP Residual norm 2.994e-10 43 41 KSP Residual norm 1.867e-10 44 42 KSP Residual norm 1.164e-10 45 43 KSP Residual norm 7.253e-11 46 1 SNES Function norm 2.290e-10 47Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 1 48SNES Object: 2 MPI processes 49 type: newtonls 50 maximum iterations=50, maximum function evaluations=10000 51 tolerances: relative=1e-08, absolute=1e-50, solution=1e-08 52 total number of linear solver iterations=43 53 total number of function evaluations=2 54 norm schedule ALWAYS 55 Jacobian is built using a DMDA local Jacobian 56 SNESLineSearch Object: 2 MPI processes 57 type: bt 58 interpolation: cubic 59 alpha=1.000000e-04 60 maxlambda=1.000000e+00, minlambda=1.000000e-12 61 tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08 62 maximum iterations=40 63 KSP Object: 2 MPI processes 64 type: richardson 65 damping factor=1. 66 maximum iterations=10000, initial guess is zero 67 tolerances: relative=1e-09, absolute=1e-50, divergence=10000. 68 left preconditioning 69 using PRECONDITIONED norm type for convergence test 70 PC Object: 2 MPI processes 71 type: asm 72 total subdomain blocks = 2, amount of overlap = 0 73 restriction/interpolation type - RESTRICT 74 Local solver information for first block is in the following KSP and PC objects on rank 0: 75 Use -ksp_view ::ascii_info_detail to display information for all blocks 76 KSP Object: (sub_) 1 MPI process 77 type: preonly 78 maximum iterations=10000, initial guess is zero 79 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 80 left preconditioning 81 not checking for convergence 82 PC Object: (sub_) 1 MPI process 83 type: lu 84 out-of-place factorization 85 tolerance for zero pivot 2.22045e-14 86 matrix ordering: nd 87 factor fill ratio given 5., needed 1.875 88 Factored matrix: 89 Mat Object: (sub_) 1 MPI process 90 type: seqaij 91 rows=16, cols=16 92 package used to perform factorization: petsc 93 total: nonzeros=120, allocated nonzeros=120 94 using I-node routines: found 12 nodes, limit used is 5 95 linear system matrix, which is also used to construct the preconditioner: 96 Mat Object: (sub_) 1 MPI process 97 type: seqaij 98 rows=16, cols=16 99 total: nonzeros=64, allocated nonzeros=64 100 total number of mallocs used during MatSetValues calls=0 101 not using I-node routines 102 linear system matrix, which is also used to construct the preconditioner: 103 Mat Object: 2 MPI processes 104 type: mpiaij 105 rows=32, cols=32 106 total: nonzeros=136, allocated nonzeros=136 107 total number of mallocs used during MatSetValues calls=0 108N: 32 error L2 3.40437e-11 inf 8.12005e-11 109