1SNES Object: 1 MPI process 2 type: newtontr 3 Trust region tolerance 1e-12 4 eta1=0.001, eta2=0.25, eta3=0.75 5 delta0=0.2, t1=0.25, t2=2., deltaM=1.79769e+308 6 kmdc=0.0 7 fallback=DOGLEG 8 maximum iterations=50, maximum function evaluations=10000 9 tolerances: relative=1e-08, absolute=1e-50, solution=1e-08 10 total number of linear solver iterations=24 11 total number of function evaluations=10 12 norm schedule ALWAYS 13 KSP Object: 1 MPI process 14 type: fgmres 15 restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement 16 happy breakdown tolerance 1e-30 17 maximum iterations=10000, initial guess is zero 18 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 19 right preconditioning 20 using UNPRECONDITIONED norm type for convergence test 21 PC Object: 1 MPI process 22 type: mg 23 type is MULTIPLICATIVE, levels=3 cycles=v 24 Cycles per PCApply=1 25 Using Galerkin computed coarse grid matrices for pmat 26 Coarse grid solver -- level 0 ------------------------------- 27 KSP Object: (mg_coarse_) 1 MPI process 28 type: preonly 29 maximum iterations=10000, initial guess is zero 30 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 31 left preconditioning 32 using NONE norm type for convergence test 33 PC Object: (mg_coarse_) 1 MPI process 34 type: lu 35 out-of-place factorization 36 tolerance for zero pivot 2.22045e-14 37 using diagonal shift on blocks to prevent zero pivot [INBLOCKS] 38 matrix ordering: nd 39 factor fill ratio given 5., needed 1.59172 40 Factored matrix follows: 41 Mat Object: (mg_coarse_) 1 MPI process 42 type: seqaij 43 rows=25, cols=25 44 package used to perform factorization: petsc 45 total: nonzeros=269, allocated nonzeros=269 46 using I-node routines: found 17 nodes, limit used is 5 47 linear system matrix = precond matrix: 48 Mat Object: 1 MPI process 49 type: seqaij 50 rows=25, cols=25 51 total: nonzeros=169, allocated nonzeros=169 52 total number of mallocs used during MatSetValues calls=0 53 not using I-node routines 54 Down solver (pre-smoother) on level 1 ------------------------------- 55 KSP Object: (mg_levels_1_) 1 MPI process 56 type: chebyshev 57 Chebyshev polynomial of first kind 58 eigenvalue targets used: min 0.0996438, max 1.09608 59 eigenvalues estimated via gmres: min 0.139653, max 0.996438 60 eigenvalues estimated using gmres with transform: [0. 0.1; 0. 1.1] 61 KSP Object: (mg_levels_1_esteig_) 1 MPI process 62 type: gmres 63 restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement 64 happy breakdown tolerance 1e-30 65 maximum iterations=10, initial guess is zero 66 tolerances: relative=1e-12, absolute=1e-50, divergence=10000. 67 left preconditioning 68 using PRECONDITIONED norm type for convergence test 69 estimating eigenvalues using noisy right hand side 70 maximum iterations=2, nonzero initial guess 71 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 72 left preconditioning 73 using NONE norm type for convergence test 74 PC Object: (mg_levels_1_) 1 MPI process 75 type: sor 76 type = local_symmetric, iterations = 1, local iterations = 1, omega = 1. 77 linear system matrix = precond matrix: 78 Mat Object: 1 MPI process 79 type: seqaij 80 rows=81, cols=81 81 total: nonzeros=625, allocated nonzeros=625 82 total number of mallocs used during MatSetValues calls=0 83 not using I-node routines 84 Up solver (post-smoother) same as down solver (pre-smoother) 85 Down solver (pre-smoother) on level 2 ------------------------------- 86 KSP Object: (mg_levels_2_) 1 MPI process 87 type: chebyshev 88 Chebyshev polynomial of first kind 89 eigenvalue targets used: min 0.0990486, max 1.08953 90 eigenvalues estimated via gmres: min 0.0626846, max 0.990486 91 eigenvalues estimated using gmres with transform: [0. 0.1; 0. 1.1] 92 KSP Object: (mg_levels_2_esteig_) 1 MPI process 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 process 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 process 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 process 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 = 9 124Number of Linear iterations = 24 125Average Linear its / SNES = 2.666667e+00 126