1 0 SNES Function norm 0.137187 2 0 KSP Residual norm 0.0520252 3 1 KSP Residual norm 0.0362865 4 2 KSP Residual norm 0.0223033 5 3 KSP Residual norm 0.0146222 6 4 KSP Residual norm 0.00958122 7 5 KSP Residual norm 0.00635124 8 6 KSP Residual norm 0.00418352 9 7 KSP Residual norm 0.00277198 10 8 KSP Residual norm 0.00182828 11 9 KSP Residual norm 0.00121047 12 10 KSP Residual norm 0.000798963 13 11 KSP Residual norm 0.000528688 14 12 KSP Residual norm 0.000349123 15 13 KSP Residual norm 0.000230935 16 14 KSP Residual norm 0.000152548 17 15 KSP Residual norm 0.000100881 18 16 KSP Residual norm 6.66525e-05 19 17 KSP Residual norm 4.40705e-05 20 18 KSP Residual norm 2.91216e-05 21 19 KSP Residual norm 1.9253e-05 22 20 KSP Residual norm 1.27234e-05 23 21 KSP Residual norm 8.41115e-06 24 22 KSP Residual norm 5.5589e-06 25 23 KSP Residual norm 3.67466e-06 26 24 KSP Residual norm 2.42867e-06 27 25 KSP Residual norm 1.6054e-06 28 26 KSP Residual norm 1.06108e-06 29 27 KSP Residual norm 7.01377e-07 30 28 KSP Residual norm 4.63577e-07 31 29 KSP Residual norm 3.06423e-07 32 30 KSP Residual norm 2.02533e-07 33 31 KSP Residual norm 1.33872e-07 34 32 KSP Residual norm 8.84852e-08 35 33 KSP Residual norm 5.84874e-08 36 34 KSP Residual norm 3.86584e-08 37 35 KSP Residual norm 2.55525e-08 38 36 KSP Residual norm 1.68895e-08 39 37 KSP Residual norm 1.11636e-08 40 38 KSP Residual norm 7.37887e-09 41 39 KSP Residual norm 4.87728e-09 42 40 KSP Residual norm 3.22376e-09 43 41 KSP Residual norm 2.13083e-09 44 42 KSP Residual norm 1.40843e-09 45 43 KSP Residual norm 9.309e-10 46 44 KSP Residual norm 6.153e-10 47 45 KSP Residual norm 4.067e-10 48 46 KSP Residual norm 2.688e-10 49 47 KSP Residual norm 1.777e-10 50 48 KSP Residual norm 1.174e-10 51 49 KSP Residual norm 7.763e-11 52 50 KSP Residual norm 5.131e-11 53 1 SNES Function norm 1.613e-10 54Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 1 55SNES Object: 2 MPI processes 56 type: newtonls 57 maximum iterations=50, maximum function evaluations=10000 58 tolerances: relative=1e-08, absolute=1e-50, solution=1e-08 59 total number of linear solver iterations=50 60 total number of function evaluations=2 61 norm schedule ALWAYS 62 Jacobian is built using a DMDA local Jacobian 63SNESLineSearch Object: 2 MPI processes 64 type: bt 65 interpolation: cubic 66 alpha=1.000000e-04 67 maxlambda=1.000000e+00, minlambda=1.000000e-12 68 tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08 69 maximum iterations=40 70 KSP Object: 2 MPI processes 71 type: richardson 72 damping factor=1. 73 maximum iterations=10000, initial guess is zero 74 tolerances: relative=1e-09, absolute=1e-50, divergence=10000. 75 left preconditioning 76 using PRECONDITIONED norm type for convergence test 77 PC Object: 2 MPI processes 78 type: asm 79 total subdomain blocks = 4, amount of overlap = 0 80 restriction/interpolation type - RESTRICT 81 Additive Schwarz: local solve composition type - MULTIPLICATIVE 82 Local solver information for first block is in the following KSP and PC objects on rank 0: 83 Use -ksp_view ::ascii_info_detail to display information for all blocks 84 KSP Object: (sub_) 1 MPI process 85 type: preonly 86 maximum iterations=10000, initial guess is zero 87 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 88 left preconditioning 89 not checking for convergence 90 PC Object: (sub_) 1 MPI process 91 type: lu 92 out-of-place factorization 93 tolerance for zero pivot 2.22045e-14 94 matrix ordering: nd 95 factor fill ratio given 5., needed 1.35714 96 Factored matrix: 97 Mat Object: (sub_) 1 MPI process 98 type: seqaij 99 rows=8, cols=8 100 package used to perform factorization: petsc 101 total: nonzeros=38, allocated nonzeros=38 102 not using I-node routines 103 linear system matrix, which is also used to construct the preconditioner: 104 Mat Object: (sub_) 1 MPI process 105 type: seqaij 106 rows=8, cols=8 107 total: nonzeros=28, allocated nonzeros=28 108 total number of mallocs used during MatSetValues calls=0 109 not using I-node routines 110 linear system matrix, which is also used to construct the preconditioner: 111 Mat Object: 2 MPI processes 112 type: mpiaij 113 rows=32, cols=32 114 total: nonzeros=136, allocated nonzeros=136 115 total number of mallocs used during MatSetValues calls=0 116N: 32 error L2 2.67559e-11 inf 5.97333e-11 117