1 0 SNES Function norm 0.137187 2 0 KSP Residual norm 0.0606965 3 1 KSP Residual norm 0.0313363 4 2 KSP Residual norm 0.0202713 5 3 KSP Residual norm 0.0136062 6 4 KSP Residual norm 0.00919167 7 5 KSP Residual norm 0.00621688 8 6 KSP Residual norm 0.0042058 9 7 KSP Residual norm 0.00284539 10 8 KSP Residual norm 0.00192504 11 9 KSP Residual norm 0.00130238 12 10 KSP Residual norm 0.000881123 13 11 KSP Residual norm 0.000596122 14 12 KSP Residual norm 0.000403305 15 13 KSP Residual norm 0.000272855 16 14 KSP Residual norm 0.0001846 17 15 KSP Residual norm 0.00012489 18 16 KSP Residual norm 8.44943e-05 19 17 KSP Residual norm 5.71644e-05 20 18 KSP Residual norm 3.86745e-05 21 19 KSP Residual norm 2.61651e-05 22 20 KSP Residual norm 1.7702e-05 23 21 KSP Residual norm 1.19762e-05 24 22 KSP Residual norm 8.10249e-06 25 23 KSP Residual norm 5.48172e-06 26 24 KSP Residual norm 3.70864e-06 27 25 KSP Residual norm 2.50908e-06 28 26 KSP Residual norm 1.69751e-06 29 27 KSP Residual norm 1.14845e-06 30 28 KSP Residual norm 7.76979e-07 31 29 KSP Residual norm 5.25663e-07 32 30 KSP Residual norm 3.55636e-07 33 31 KSP Residual norm 2.40605e-07 34 32 KSP Residual norm 1.62781e-07 35 33 KSP Residual norm 1.10129e-07 36 34 KSP Residual norm 7.45075e-08 37 35 KSP Residual norm 5.04079e-08 38 36 KSP Residual norm 3.41033e-08 39 37 KSP Residual norm 2.30725e-08 40 38 KSP Residual norm 1.56097e-08 41 39 KSP Residual norm 1.05607e-08 42 40 KSP Residual norm 7.14481e-09 43 41 KSP Residual norm 4.83381e-09 44 42 KSP Residual norm 3.2703e-09 45 43 KSP Residual norm 2.21251e-09 46 44 KSP Residual norm 1.49687e-09 47 45 KSP Residual norm 1.01271e-09 48 46 KSP Residual norm 6.851e-10 49 47 KSP Residual norm 4.635e-10 50 48 KSP Residual norm 3.136e-10 51 49 KSP Residual norm 2.122e-10 52 50 KSP Residual norm 1.435e-10 53 51 KSP Residual norm 9.711e-11 54 52 KSP Residual norm 6.570e-11 55 53 KSP Residual norm 4.445e-11 56 1 SNES Function norm 1.506e-10 57Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 1 58SNES Object: 2 MPI processes 59 type: newtonls 60 maximum iterations=50, maximum function evaluations=10000 61 tolerances: relative=1e-08, absolute=1e-50, solution=1e-08 62 total number of linear solver iterations=53 63 total number of function evaluations=2 64 norm schedule ALWAYS 65 Jacobian is built using a DMDA local Jacobian 66 SNESLineSearch Object: 2 MPI processes 67 type: bt 68 interpolation: cubic 69 alpha=1.000000e-04 70 maxstep=1.000000e+08, minlambda=1.000000e-12 71 tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08 72 maximum iterations=40 73 KSP Object: 2 MPI processes 74 type: richardson 75 damping factor=1. 76 maximum iterations=10000, initial guess is zero 77 tolerances: relative=1e-09, absolute=1e-50, divergence=10000. 78 left preconditioning 79 using PRECONDITIONED norm type for convergence test 80 PC Object: 2 MPI processes 81 type: asm 82 total subdomain blocks = 4, amount of overlap = 0 83 restriction/interpolation type - RESTRICT 84 Local solver is the same for all blocks, as in the following KSP and PC objects on rank 0: 85 KSP Object: (sub_) 1 MPI processes 86 type: preonly 87 maximum iterations=10000, initial guess is zero 88 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 89 left preconditioning 90 using NONE norm type for convergence test 91 PC Object: (sub_) 1 MPI processes 92 type: lu 93 out-of-place factorization 94 tolerance for zero pivot 2.22045e-14 95 matrix ordering: nd 96 factor fill ratio given 5., needed 1.35714 97 Factored matrix follows: 98 Mat Object: 1 MPI processes 99 type: seqaij 100 rows=8, cols=8 101 package used to perform factorization: petsc 102 total: nonzeros=38, allocated nonzeros=38 103 not using I-node routines 104 linear system matrix = precond matrix: 105 Mat Object: 1 MPI processes 106 type: seqaij 107 rows=8, cols=8 108 total: nonzeros=28, allocated nonzeros=28 109 total number of mallocs used during MatSetValues calls=0 110 not using I-node routines 111 linear system matrix = precond matrix: 112 Mat Object: 2 MPI processes 113 type: mpiaij 114 rows=32, cols=32 115 total: nonzeros=136, allocated nonzeros=136 116 total number of mallocs used during MatSetValues calls=0 117N: 32 error L2 2.42932e-11 inf 5.6701e-11 118