1 0 SNES Function norm 0.137187 2 0 KSP Residual norm 0.0957748 3 1 KSP Residual norm 0.0264334 4 2 KSP Residual norm 0.0203438 5 3 KSP Residual norm 0.00882722 6 4 KSP Residual norm 0.00679458 7 5 KSP Residual norm 0.00299252 8 6 KSP Residual norm 0.00228371 9 7 KSP Residual norm 0.00101577 10 8 KSP Residual norm 0.000770034 11 9 KSP Residual norm 0.000344841 12 10 KSP Residual norm 0.000260151 13 11 KSP Residual norm 0.000117052 14 12 KSP Residual norm 8.79985e-05 15 13 KSP Residual norm 3.97228e-05 16 14 KSP Residual norm 2.97897e-05 17 15 KSP Residual norm 1.34775e-05 18 16 KSP Residual norm 1.00898e-05 19 17 KSP Residual norm 4.57193e-06 20 18 KSP Residual norm 3.41859e-06 21 19 KSP Residual norm 1.55072e-06 22 20 KSP Residual norm 1.15854e-06 23 21 KSP Residual norm 5.25921e-07 24 22 KSP Residual norm 3.92684e-07 25 23 KSP Residual norm 1.78352e-07 26 24 KSP Residual norm 1.33114e-07 27 25 KSP Residual norm 6.048e-08 28 26 KSP Residual norm 4.51266e-08 29 27 KSP Residual norm 2.05083e-08 30 28 KSP Residual norm 1.52991e-08 31 29 KSP Residual norm 6.95405e-09 32 30 KSP Residual norm 5.18696e-09 33 31 KSP Residual norm 2.35796e-09 34 32 KSP Residual norm 1.75861e-09 35 33 KSP Residual norm 7.995e-10 36 34 KSP Residual norm 5.963e-10 37 35 KSP Residual norm 2.711e-10 38 36 KSP Residual norm 2.022e-10 39 37 KSP Residual norm 9.192e-11 40 1 SNES Function norm 3.678e-10 41Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 1 42SNES Object: 1 MPI processes 43 type: newtonls 44 maximum iterations=50, maximum function evaluations=10000 45 tolerances: relative=1e-08, absolute=1e-50, solution=1e-08 46 total number of linear solver iterations=37 47 total number of function evaluations=2 48 norm schedule ALWAYS 49 Jacobian is built using a DMDA local Jacobian 50 SNESLineSearch Object: 1 MPI processes 51 type: bt 52 interpolation: cubic 53 alpha=1.000000e-04 54 maxstep=1.000000e+08, minlambda=1.000000e-12 55 tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08 56 maximum iterations=40 57 KSP Object: 1 MPI processes 58 type: richardson 59 damping factor=1. 60 maximum iterations=10000, initial guess is zero 61 tolerances: relative=1e-09, absolute=1e-50, divergence=10000. 62 left preconditioning 63 using PRECONDITIONED norm type for convergence test 64 PC Object: 1 MPI processes 65 type: asm 66 total subdomain blocks = 3, amount of overlap = 0 67 restriction/interpolation type - RESTRICT 68 Local solver is the same for all blocks, as in the following KSP and PC objects on rank 0: 69 KSP Object: (sub_) 1 MPI processes 70 type: preonly 71 maximum iterations=10000, initial guess is zero 72 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 73 left preconditioning 74 using NONE norm type for convergence test 75 PC Object: (sub_) 1 MPI processes 76 type: lu 77 out-of-place factorization 78 tolerance for zero pivot 2.22045e-14 79 matrix ordering: nd 80 factor fill ratio given 5., needed 1.45714 81 Factored matrix follows: 82 Mat Object: 1 MPI processes 83 type: seqaij 84 rows=11, cols=11 85 package used to perform factorization: petsc 86 total: nonzeros=51, allocated nonzeros=51 87 not using I-node routines 88 linear system matrix = precond matrix: 89 Mat Object: 1 MPI processes 90 type: seqaij 91 rows=11, cols=11 92 total: nonzeros=35, allocated nonzeros=35 93 total number of mallocs used during MatSetValues calls=0 94 not using I-node routines 95 linear system matrix = precond matrix: 96 Mat Object: 1 MPI processes 97 type: seqaij 98 rows=32, cols=32 99 total: nonzeros=136, allocated nonzeros=136 100 total number of mallocs used during MatSetValues calls=0 101 not using I-node routines 102N: 32 error L2 3.92963e-11 inf 1.2788e-10 103