1SNES Object: 1 MPI processes 2 type: newtonls 3 maximum iterations=50, maximum function evaluations=10000 4 tolerances: relative=1e-08, absolute=1e-50, solution=1e-08 5 total number of linear solver iterations=24 6 total number of function evaluations=7 7 norm schedule ALWAYS 8 SNESLineSearch Object: 1 MPI processes 9 type: bt 10 interpolation: cubic 11 alpha=1.000000e-04 12 maxstep=1.000000e+08, minlambda=1.000000e-12 13 tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08 14 maximum iterations=40 15 KSP Object: 1 MPI processes 16 type: fgmres 17 restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement 18 happy breakdown tolerance 1e-30 19 maximum iterations=10000, initial guess is zero 20 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 21 right preconditioning 22 using UNPRECONDITIONED norm type for convergence test 23 PC Object: 1 MPI processes 24 type: mg 25 type is MULTIPLICATIVE, levels=3 cycles=v 26 Cycles per PCApply=1 27 Using Galerkin computed coarse grid matrices for pmat 28 Coarse grid solver -- level ------------------------------- 29 KSP Object: (mg_coarse_) 1 MPI processes 30 type: preonly 31 maximum iterations=10000, initial guess is zero 32 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 33 left preconditioning 34 using NONE norm type for convergence test 35 PC Object: (mg_coarse_) 1 MPI processes 36 type: lu 37 out-of-place factorization 38 tolerance for zero pivot 2.22045e-14 39 using diagonal shift on blocks to prevent zero pivot [INBLOCKS] 40 matrix ordering: nd 41 factor fill ratio given 5., needed 1.59172 42 Factored matrix follows: 43 Mat Object: 1 MPI processes 44 type: seqaij 45 rows=25, cols=25 46 package used to perform factorization: petsc 47 total: nonzeros=269, allocated nonzeros=269 48 using I-node routines: found 17 nodes, limit used is 5 49 linear system matrix = precond matrix: 50 Mat Object: 1 MPI processes 51 type: seqaij 52 rows=25, cols=25 53 total: nonzeros=169, allocated nonzeros=169 54 total number of mallocs used during MatSetValues calls=0 55 not using I-node routines 56 Down solver (pre-smoother) on level 1 ------------------------------- 57 KSP Object: (mg_levels_1_) 1 MPI processes 58 type: chebyshev 59 eigenvalue estimates used: min = 0.0996438, max = 1.09608 60 eigenvalues estimate via gmres min 0.139653, max 0.996438 61 eigenvalues estimated using gmres with translations [0. 0.1; 0. 1.1] 62 KSP Object: (mg_levels_1_esteig_) 1 MPI processes 63 type: gmres 64 restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement 65 happy breakdown tolerance 1e-30 66 maximum iterations=10, initial guess is zero 67 tolerances: relative=1e-12, absolute=1e-50, divergence=10000. 68 left preconditioning 69 using PRECONDITIONED norm type for convergence test 70 estimating eigenvalues using noisy right hand side 71 maximum iterations=2, nonzero initial guess 72 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 73 left preconditioning 74 using NONE norm type for convergence test 75 PC Object: (mg_levels_1_) 1 MPI processes 76 type: sor 77 type = local_symmetric, iterations = 1, local iterations = 1, omega = 1. 78 linear system matrix = precond matrix: 79 Mat Object: 1 MPI processes 80 type: seqaij 81 rows=81, cols=81 82 total: nonzeros=625, allocated nonzeros=625 83 total number of mallocs used during MatSetValues calls=0 84 not using I-node routines 85 Up solver (post-smoother) same as down solver (pre-smoother) 86 Down solver (pre-smoother) on level 2 ------------------------------- 87 KSP Object: (mg_levels_2_) 1 MPI processes 88 type: chebyshev 89 eigenvalue estimates used: min = 0.0990486, max = 1.08953 90 eigenvalues estimate via gmres min 0.0626846, max 0.990486 91 eigenvalues estimated using gmres with translations [0. 0.1; 0. 1.1] 92 KSP Object: (mg_levels_2_esteig_) 1 MPI processes 93 type: gmres 94 restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement 95 happy breakdown tolerance 1e-30 96 maximum iterations=10, initial guess is zero 97 tolerances: relative=1e-12, absolute=1e-50, divergence=10000. 98 left preconditioning 99 using PRECONDITIONED norm type for convergence test 100 estimating eigenvalues using noisy right hand side 101 maximum iterations=2, nonzero initial guess 102 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 103 left preconditioning 104 using NONE norm type for convergence test 105 PC Object: (mg_levels_2_) 1 MPI processes 106 type: sor 107 type = local_symmetric, iterations = 1, local iterations = 1, omega = 1. 108 linear system matrix = precond matrix: 109 Mat Object: 1 MPI processes 110 type: seqaij 111 rows=289, cols=289 112 total: nonzeros=1377, allocated nonzeros=1377 113 total number of mallocs used during MatSetValues calls=0 114 not using I-node routines 115 Up solver (post-smoother) same as down solver (pre-smoother) 116 linear system matrix = precond matrix: 117 Mat Object: 1 MPI processes 118 type: seqaij 119 rows=289, cols=289 120 total: nonzeros=1377, allocated nonzeros=1377 121 total number of mallocs used during MatSetValues calls=0 122 not using I-node routines 123Number of SNES iterations = 6 124Number of Linear iterations = 24 125Average Linear its / SNES = 4.000000e+00 126