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 information for first block is in the following KSP and PC objects on rank 0: 85 Use -ksp_view ::ascii_info_detail to display information for all blocks 86 KSP Object: (sub_) 1 MPI process 87 type: preonly 88 maximum iterations=10000, initial guess is zero 89 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 90 left preconditioning 91 using NONE norm type for convergence test 92 PC Object: (sub_) 1 MPI process 93 type: lu 94 out-of-place factorization 95 tolerance for zero pivot 2.22045e-14 96 matrix ordering: nd 97 factor fill ratio given 5., needed 1.35714 98 Factored matrix follows: 99 Mat Object: (sub_) 1 MPI process 100 type: seqaij 101 rows=8, cols=8 102 package used to perform factorization: petsc 103 total: nonzeros=38, allocated nonzeros=38 104 not using I-node routines 105 linear system matrix = precond matrix: 106 Mat Object: (sub_) 1 MPI process 107 type: seqaij 108 rows=8, cols=8 109 total: nonzeros=28, allocated nonzeros=28 110 total number of mallocs used during MatSetValues calls=0 111 not using I-node routines 112 linear system matrix = precond matrix: 113 Mat Object: 2 MPI processes 114 type: mpiaij 115 rows=32, cols=32 116 total: nonzeros=136, allocated nonzeros=136 117 total number of mallocs used during MatSetValues calls=0 118N: 32 error L2 2.42932e-11 inf 5.6701e-11 119