1DM Object: 2 MPI processes 2 type: da 3Processor [0] M 17 N 17 m 1 n 2 w 1 s 1 4X range of indices: 0 17, Y range of indices: 0 9 5Processor [1] M 17 N 17 m 1 n 2 w 1 s 1 6X range of indices: 0 17, Y range of indices: 9 17 7DM Object: 2 MPI processes 8 type: da 9Processor [0] M 17 N 17 m 1 n 2 w 2 s 1 10X range of indices: 0 17, Y range of indices: 0 9 11Processor [1] M 17 N 17 m 1 n 2 w 2 s 1 12X range of indices: 0 17, Y range of indices: 9 17 130 TS dt 0.001 time 0. 14DM Object: 2 MPI processes 15 type: da 16Processor [0] M 9 N 9 m 1 n 2 w 1 s 1 17X range of indices: 0 9, Y range of indices: 0 5 18Processor [1] M 9 N 9 m 1 n 2 w 1 s 1 19X range of indices: 0 9, Y range of indices: 5 9 20DM Object: 2 MPI processes 21 type: da 22Processor [0] M 9 N 9 m 1 n 2 w 2 s 1 23X range of indices: 0 9, Y range of indices: 0 5 24Processor [1] M 9 N 9 m 1 n 2 w 2 s 1 25X range of indices: 0 9, Y range of indices: 5 9 26DM Object: 2 MPI processes 27 type: da 28Processor [0] M 5 N 5 m 1 n 2 w 1 s 1 29X range of indices: 0 5, Y range of indices: 0 3 30Processor [1] M 5 N 5 m 1 n 2 w 1 s 1 31X range of indices: 0 5, Y range of indices: 3 5 32DM Object: 2 MPI processes 33 type: da 34Processor [0] M 5 N 5 m 1 n 2 w 2 s 1 35X range of indices: 0 5, Y range of indices: 0 3 36Processor [1] M 5 N 5 m 1 n 2 w 2 s 1 37X range of indices: 0 5, Y range of indices: 3 5 381 TS dt 0.001 time 0.001 392 TS dt 0.001 time 0.002 403 TS dt 0.001 time 0.003 414 TS dt 0.001 time 0.004 425 TS dt 0.001 time 0.005 43TS Object: 2 MPI processes 44 type: bdf 45 Order=2 46 maximum steps=5 47 maximum time=1. 48 using relative error tolerance of 0.0001, using absolute error tolerance of 0.0001 49 TSAdapt Object: 2 MPI processes 50 type: none 51 SNES Object: 2 MPI processes 52 type: ngmres 53 Number of stored past updates: 30 54 Residual selection: gammaA=2e+00, gammaC=2e+00 55 Difference restart: epsilonB=1e-01, deltaB=9e-01 56 Restart on F_M residual increase: FALSE 57 maximum iterations=10000, maximum function evaluations=30000 58 tolerances: relative=1e-06, absolute=1e-50, solution=1e-08 59 norm schedule ALWAYS 60 SNESLineSearch Object: 2 MPI processes 61 type: basic 62 maxstep=1.000000e+08, minlambda=1.000000e-12 63 tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08 64 maximum iterations=1 65 SNES Object: (npc_) 2 MPI processes 66 type: fas 67 type is MULTIPLICATIVE, levels=3, cycles=1 68 Not using Galerkin computed coarse grid function evaluation 69 Coarse grid solver -- level 0 ------------------------------- 70 SNES Object: (npc_fas_coarse_) 2 MPI processes 71 type: newtonls 72 maximum iterations=50, maximum function evaluations=10000 73 tolerances: relative=1e-08, absolute=1e-50, solution=1e-08 74 SNESLineSearch Object: (npc_fas_coarse_) 2 MPI processes 75 type: bt 76 interpolation: cubic 77 alpha=1.000000e-04 78 maxstep=1.000000e+08, minlambda=1.000000e-12 79 tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08 80 maximum iterations=40 81 KSP Object: (npc_fas_coarse_) 2 MPI processes 82 type: gmres 83 restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement 84 happy breakdown tolerance 1e-30 85 maximum iterations=10000, initial guess is zero 86 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 87 left preconditioning 88 using PRECONDITIONED norm type for convergence test 89 PC Object: (npc_fas_coarse_) 2 MPI processes 90 type: bjacobi 91 number of blocks = 2 92 Local solve is same for all blocks, in the following KSP and PC objects: 93 KSP Object: (npc_fas_coarse_sub_) 1 MPI processes 94 type: preonly 95 maximum iterations=10000, initial guess is zero 96 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 97 left preconditioning 98 using NONE norm type for convergence test 99 PC Object: (npc_fas_coarse_sub_) 1 MPI processes 100 type: ilu 101 out-of-place factorization 102 0 levels of fill 103 tolerance for zero pivot 2.22045e-14 104 matrix ordering: natural 105 factor fill ratio given 1., needed 1. 106 Factored matrix follows: 107 Mat Object: 1 MPI processes 108 type: seqaij 109 rows=15, cols=15 110 package used to perform factorization: petsc 111 total: nonzeros=59, allocated nonzeros=59 112 not using I-node routines 113 linear system matrix = precond matrix: 114 Mat Object: 1 MPI processes 115 type: seqaij 116 rows=15, cols=15 117 total: nonzeros=59, allocated nonzeros=59 118 not using I-node routines 119 linear system matrix = precond matrix: 120 Mat Object: 2 MPI processes 121 type: mpiaij 122 rows=25, cols=25 123 total: nonzeros=105, allocated nonzeros=105 124 Down solver (pre-smoother) on level 1 ------------------------------- 125 SNES Object: (npc_fas_levels_1_) 2 MPI processes 126 type: ngs 127 Use finite difference secant approximation with coloring with h = 1e-08 128 maximum iterations=5, maximum function evaluations=30000 129 tolerances: relative=0., absolute=0., solution=0. 130 norm schedule FINALONLY 131 Up solver (post-smoother) same as down solver (pre-smoother) 132 Down solver (pre-smoother) on level 2 ------------------------------- 133 SNES Object: (npc_fas_levels_2_) 2 MPI processes 134 type: ngs 135 Use finite difference secant approximation with coloring with h = 1e-08 136 maximum iterations=5, maximum function evaluations=30000 137 tolerances: relative=0., absolute=0., solution=0. 138 norm schedule FINALONLY 139 Up solver (post-smoother) same as down solver (pre-smoother) 140 maximum iterations=1, maximum function evaluations=30000 141 tolerances: relative=0., absolute=0., solution=0. 142 norm schedule FINALONLY 143