1SNES Object: 1 MPI process 2 type: newtontrdc 3 Trust region tolerance 1e-12 (-snes_trtol) 4 eta1=0.001, eta2=0.25, eta3=0.75 5 delta0=0.1, t1=0.25, t2=2., deltaM=0.5 6 maximum iterations=50, maximum function evaluations=10000 7 tolerances: relative=1e-08, absolute=1e-50, solution=1e-08 8 total number of linear solver iterations=21 9 total number of function evaluations=7 10 norm schedule ALWAYS 11 KSP Object: 1 MPI process 12 type: fgmres 13 restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement 14 happy breakdown tolerance 1e-30 15 maximum iterations=10000, initial guess is zero 16 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 17 right preconditioning 18 using UNPRECONDITIONED norm type for convergence test 19 PC Object: 1 MPI process 20 type: mg 21 type is MULTIPLICATIVE, levels=3 cycles=v 22 Cycles per PCApply=1 23 Using Galerkin computed coarse grid matrices for pmat 24 Coarse grid solver -- level 0 ------------------------------- 25 KSP Object: (mg_coarse_) 1 MPI process 26 type: preonly 27 maximum iterations=10000, initial guess is zero 28 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 29 left preconditioning 30 using NONE norm type for convergence test 31 PC Object: (mg_coarse_) 1 MPI process 32 type: lu 33 out-of-place factorization 34 tolerance for zero pivot 2.22045e-14 35 using diagonal shift on blocks to prevent zero pivot [INBLOCKS] 36 matrix ordering: nd 37 factor fill ratio given 5., needed 1.59172 38 Factored matrix follows: 39 Mat Object: 1 MPI process 40 type: seqaij 41 rows=25, cols=25 42 package used to perform factorization: petsc 43 total: nonzeros=269, allocated nonzeros=269 44 using I-node routines: found 17 nodes, limit used is 5 45 linear system matrix = precond matrix: 46 Mat Object: (mg_coarse_) 1 MPI process 47 type: seqaij 48 rows=25, cols=25 49 total: nonzeros=169, allocated nonzeros=169 50 total number of mallocs used during MatSetValues calls=0 51 not using I-node routines 52 Down solver (pre-smoother) on level 1 ------------------------------- 53 KSP Object: (mg_levels_1_) 1 MPI process 54 type: chebyshev 55 eigenvalue targets used: min 0.0996437, max 1.09608 56 eigenvalues estimated via gmres: min 0.139653, max 0.996437 57 eigenvalues estimated using gmres with transform: [0. 0.1; 0. 1.1] 58 KSP Object: (mg_levels_1_esteig_) 1 MPI process 59 type: gmres 60 restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement 61 happy breakdown tolerance 1e-30 62 maximum iterations=10, initial guess is zero 63 tolerances: relative=1e-12, absolute=1e-50, divergence=10000. 64 left preconditioning 65 using PRECONDITIONED norm type for convergence test 66 estimating eigenvalues using noisy right hand side 67 maximum iterations=2, nonzero initial guess 68 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 69 left preconditioning 70 using NONE norm type for convergence test 71 PC Object: (mg_levels_1_) 1 MPI process 72 type: sor 73 type = local_symmetric, iterations = 1, local iterations = 1, omega = 1. 74 linear system matrix = precond matrix: 75 Mat Object: 1 MPI process 76 type: seqaij 77 rows=81, cols=81 78 total: nonzeros=625, allocated nonzeros=625 79 total number of mallocs used during MatSetValues calls=0 80 not using I-node routines 81 Up solver (post-smoother) same as down solver (pre-smoother) 82 Down solver (pre-smoother) on level 2 ------------------------------- 83 KSP Object: (mg_levels_2_) 1 MPI process 84 type: chebyshev 85 eigenvalue targets used: min 0.0990486, max 1.08954 86 eigenvalues estimated via gmres: min 0.0626845, max 0.990486 87 eigenvalues estimated using gmres with transform: [0. 0.1; 0. 1.1] 88 KSP Object: (mg_levels_2_esteig_) 1 MPI process 89 type: gmres 90 restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement 91 happy breakdown tolerance 1e-30 92 maximum iterations=10, initial guess is zero 93 tolerances: relative=1e-12, absolute=1e-50, divergence=10000. 94 left preconditioning 95 using PRECONDITIONED norm type for convergence test 96 estimating eigenvalues using noisy right hand side 97 maximum iterations=2, nonzero initial guess 98 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 99 left preconditioning 100 using NONE norm type for convergence test 101 PC Object: (mg_levels_2_) 1 MPI process 102 type: sor 103 type = local_symmetric, iterations = 1, local iterations = 1, omega = 1. 104 linear system matrix = precond matrix: 105 Mat Object: 1 MPI process 106 type: seqaij 107 rows=289, cols=289 108 total: nonzeros=1377, allocated nonzeros=1377 109 total number of mallocs used during MatSetValues calls=0 110 not using I-node routines 111 Up solver (post-smoother) same as down solver (pre-smoother) 112 linear system matrix = precond matrix: 113 Mat Object: 1 MPI process 114 type: seqaij 115 rows=289, cols=289 116 total: nonzeros=1377, allocated nonzeros=1377 117 total number of mallocs used during MatSetValues calls=0 118 not using I-node routines 119Number of SNES iterations = 6 120Number of Linear iterations = 21 121Average Linear its / SNES = 3.500000e+00 122