1 0 SNES Function norm 0.137187 2 0 KSP Residual norm 0.0667864 3 1 KSP Residual norm 0.0318467 4 2 KSP Residual norm 0.0197919 5 3 KSP Residual norm 0.012888 6 4 KSP Residual norm 0.00839236 7 5 KSP Residual norm 0.00545974 8 6 KSP Residual norm 0.00354928 9 7 KSP Residual norm 0.00230607 10 8 KSP Residual norm 0.00149773 11 9 KSP Residual norm 0.000972456 12 10 KSP Residual norm 0.000631278 13 11 KSP Residual norm 0.000409741 14 12 KSP Residual norm 0.000265922 15 13 KSP Residual norm 0.000172571 16 14 KSP Residual norm 0.000111985 17 15 KSP Residual norm 7.26671e-05 18 16 KSP Residual norm 4.71524e-05 19 17 KSP Residual norm 3.05959e-05 20 18 KSP Residual norm 1.98526e-05 21 19 KSP Residual norm 1.28815e-05 22 20 KSP Residual norm 8.35822e-06 23 21 KSP Residual norm 5.42324e-06 24 22 KSP Residual norm 3.51887e-06 25 23 KSP Residual norm 2.28321e-06 26 24 KSP Residual norm 1.48146e-06 27 25 KSP Residual norm 9.61239e-07 28 26 KSP Residual norm 6.23697e-07 29 27 KSP Residual norm 4.04683e-07 30 28 KSP Residual norm 2.62577e-07 31 29 KSP Residual norm 1.70372e-07 32 30 KSP Residual norm 1.10545e-07 33 31 KSP Residual norm 7.17267e-08 34 32 KSP Residual norm 4.65395e-08 35 33 KSP Residual norm 3.0197e-08 36 34 KSP Residual norm 1.95932e-08 37 35 KSP Residual norm 1.27129e-08 38 36 KSP Residual norm 8.24873e-09 39 37 KSP Residual norm 5.35215e-09 40 38 KSP Residual norm 3.47272e-09 41 39 KSP Residual norm 2.25326e-09 42 40 KSP Residual norm 1.46201e-09 43 41 KSP Residual norm 9.486e-10 44 42 KSP Residual norm 6.155e-10 45 43 KSP Residual norm 3.994e-10 46 44 KSP Residual norm 2.591e-10 47 45 KSP Residual norm 1.681e-10 48 46 KSP Residual norm 1.091e-10 49 47 KSP Residual norm 7.078e-11 50 48 KSP Residual norm 4.593e-11 51 1 SNES Function norm 1.509e-10 52Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 1 53SNES Object: 2 MPI processes 54 type: newtonls 55 maximum iterations=50, maximum function evaluations=10000 56 tolerances: relative=1e-08, absolute=1e-50, solution=1e-08 57 total number of linear solver iterations=48 58 total number of function evaluations=2 59 norm schedule ALWAYS 60 Jacobian is built using a DMDA local Jacobian 61 SNESLineSearch Object: 2 MPI processes 62 type: bt 63 interpolation: cubic 64 alpha=1.000000e-04 65 maxstep=1.000000e+08, minlambda=1.000000e-12 66 tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08 67 maximum iterations=40 68 KSP Object: 2 MPI processes 69 type: richardson 70 damping factor=1. 71 maximum iterations=10000, initial guess is zero 72 tolerances: relative=1e-09, absolute=1e-50, divergence=10000. 73 left preconditioning 74 using PRECONDITIONED norm type for convergence test 75 PC Object: 2 MPI processes 76 type: asm 77 total subdomain blocks = 4, amount of overlap = 0 78 restriction/interpolation type - RESTRICT 79 Additive Schwarz: local solve composition type - MULTIPLICATIVE 80 Local solve is same for all blocks, in the following KSP and PC objects: 81 KSP Object: (sub_) 1 MPI processes 82 type: preonly 83 maximum iterations=10000, initial guess is zero 84 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 85 left preconditioning 86 using NONE norm type for convergence test 87 PC Object: (sub_) 1 MPI processes 88 type: lu 89 out-of-place factorization 90 tolerance for zero pivot 2.22045e-14 91 matrix ordering: nd 92 factor fill ratio given 5., needed 1.35714 93 Factored matrix follows: 94 Mat Object: 1 MPI processes 95 type: seqaij 96 rows=8, cols=8 97 package used to perform factorization: petsc 98 total: nonzeros=38, allocated nonzeros=38 99 total number of mallocs used during MatSetValues calls=0 100 not using I-node routines 101 linear system matrix = precond matrix: 102 Mat Object: 1 MPI processes 103 type: seqaij 104 rows=8, cols=8 105 total: nonzeros=28, allocated nonzeros=28 106 total number of mallocs used during MatSetValues calls=0 107 not using I-node routines 108 linear system matrix = precond matrix: 109 Mat Object: 2 MPI processes 110 type: mpiaij 111 rows=32, cols=32 112 total: nonzeros=136, allocated nonzeros=136 113 total number of mallocs used during MatSetValues calls=0 114N: 32 error L2 2.31211e-11 inf 6.01052e-11 115