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 maxstep=1.000000e+08, 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 solve is same for all blocks, in the following KSP and PC objects: 75 KSP Object: (sub_) 1 MPI processes 76 type: preonly 77 maximum iterations=10000, initial guess is zero 78 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 79 left preconditioning 80 using NONE norm type for convergence test 81 PC Object: (sub_) 1 MPI processes 82 type: lu 83 out-of-place factorization 84 tolerance for zero pivot 2.22045e-14 85 matrix ordering: nd 86 factor fill ratio given 5., needed 1.875 87 Factored matrix follows: 88 Mat Object: 1 MPI processes 89 type: seqaij 90 rows=16, cols=16 91 package used to perform factorization: petsc 92 total: nonzeros=120, allocated nonzeros=120 93 total number of mallocs used during MatSetValues calls=0 94 using I-node routines: found 12 nodes, limit used is 5 95 linear system matrix = precond matrix: 96 Mat Object: 1 MPI processes 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 = precond matrix: 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