0 TS dt 8.33333e-06 time 0. 1 TS dt 8.33333e-05 time 8.33333e-06 2 TS dt 0.000833333 time 9.16667e-05 3 TS dt 0.00833333 time 0.000925 4 TS dt 0.0132237 time 0.00925833 5 TS dt 0.0132566 time 0.022482 6 TS dt 0.0132919 time 0.0357387 7 TS dt 0.0133226 time 0.0490305 8 TS dt 0.0133482 time 0.0623531 9 TS dt 0.0133897 time 0.0757014 10 TS dt 0.0134319 time 0.0890911 11 TS dt 0.0134682 time 0.102523 12 TS dt 0.0134977 time 0.115991 13 TS dt 0.0135237 time 0.129489 14 TS dt 0.00491431 time 0.133773 15 TS dt 0.0100893 time 0.138687 16 TS dt 0.0135711 time 0.148777 17 TS dt 0.0136066 time 0.162348 18 TS dt 0.00442413 time 0.165974 19 TS dt 0.00848341 time 0.170398 20 TS dt 0.0135303 time 0.178881 21 TS dt 0.0136941 time 0.192411 22 TS dt 0.0053962 time 0.197183 23 TS dt 0.010941 time 0.20258 24 TS dt 0.0137452 time 0.213521 25 TS dt 0.0137594 time 0.227266 26 TS dt 0.0035759 time 0.229752 27 TS dt 0.00563902 time 0.233328 28 TS dt 0.0108807 time 0.238967 29 TS dt 0.0138263 time 0.249848 30 TS dt 0.0138145 time 0.263674 31 TS dt 0.00325521 time 0.2658 32 TS dt 0.00480587 time 0.269055 33 TS dt 0.0087816 time 0.273861 34 TS dt 0.0138188 time 0.282642 35 TS dt 0.0139722 time 0.296461 36 TS dt 0.00473778 time 0.300051 TS Object: 1 MPI processes type: arkimex ARK IMEX 3 Stiff abscissa ct = 0.000000 0.871733 0.600000 1.000000 Fully implicit: no Stiffly accurate: yes Explicit first stage: yes FSAL property: yes Nonstiff abscissa c = 0.000000 0.871733 0.600000 1.000000 maximum steps=1000 maximum time=0.3 using relative error tolerance of 0.0001, using absolute error tolerance of 0.0001 TSAdapt Object: 1 MPI processes type: basic safety factor 0.9 extra safety factor after step rejection 0.5 clip fastest increase 10. clip fastest decrease 0.1 maximum allowed timestep 1e+20 minimum allowed timestep 1e-20 maximum solution absolute value to be ignored -1. SNES Object: 1 MPI processes type: newtonls maximum iterations=50, maximum function evaluations=10000 tolerances: relative=1e-08, absolute=1e-50, solution=1e-08 norm schedule ALWAYS SNESLineSearch Object: 1 MPI processes type: bt interpolation: cubic alpha=1.000000e-04 maxstep=1.000000e+08, minlambda=1.000000e-12 tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08 maximum iterations=40 KSP Object: 1 MPI processes type: gmres restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement happy breakdown tolerance 1e-30 maximum iterations=10000, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000. left preconditioning using PRECONDITIONED norm type for convergence test PC Object: 1 MPI processes type: mg type is MULTIPLICATIVE, levels=3 cycles=v Cycles per PCApply=1 Not using Galerkin computed coarse grid matrices Coarse grid solver -- level ------------------------------- KSP Object: (mg_coarse_) 1 MPI processes type: preonly maximum iterations=10000, initial guess is zero tolerances: relative=1e-05, absolute=1e-50, divergence=10000. left preconditioning using NONE norm type for convergence test PC Object: (mg_coarse_) 1 MPI processes type: lu out-of-place factorization tolerance for zero pivot 2.22045e-14 using diagonal shift on blocks to prevent zero pivot [INBLOCKS] matrix ordering: nd factor fill ratio given 5., needed 1.63333 Factored matrix follows: Mat Object: 1 MPI processes type: seqaij rows=60, cols=60 package used to perform factorization: petsc total: nonzeros=294, allocated nonzeros=294 not using I-node routines linear system matrix = precond matrix: Mat Object: 1 MPI processes type: seqaij rows=60, cols=60 total: nonzeros=180, allocated nonzeros=180 not using I-node routines Down solver (pre-smoother) on level 1 ------------------------------- KSP Object: (mg_levels_1_) 1 MPI processes type: chebyshev eigenvalue estimates used: min = 0.1, max = 1.1 eigenvalues estimate via gmres min 1., max 1. eigenvalues estimated using gmres with translations [0. 0.1; 0. 1.1] KSP Object: (mg_levels_1_esteig_) 1 MPI processes type: gmres restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement happy breakdown tolerance 1e-30 maximum iterations=10, initial guess is zero tolerances: relative=1e-12, absolute=1e-50, divergence=10000. left preconditioning using PRECONDITIONED norm type for convergence test estimating eigenvalues using noisy right hand side maximum iterations=3, nonzero initial guess tolerances: relative=1e-05, absolute=1e-50, divergence=10000. left preconditioning using NONE norm type for convergence test PC Object: (mg_levels_1_) 1 MPI processes type: sor type = local_symmetric, iterations = 1, local iterations = 1, omega = 1. linear system matrix = precond matrix: Mat Object: 1 MPI processes type: seqaij rows=120, cols=120 total: nonzeros=360, allocated nonzeros=360 not using I-node routines Up solver (post-smoother) same as down solver (pre-smoother) Down solver (pre-smoother) on level 2 ------------------------------- KSP Object: (mg_levels_2_) 1 MPI processes type: chebyshev eigenvalue estimates used: min = 0.1, max = 1.1 eigenvalues estimate via gmres min 1., max 1. eigenvalues estimated using gmres with translations [0. 0.1; 0. 1.1] KSP Object: (mg_levels_2_esteig_) 1 MPI processes type: gmres restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement happy breakdown tolerance 1e-30 maximum iterations=10, initial guess is zero tolerances: relative=1e-12, absolute=1e-50, divergence=10000. left preconditioning using PRECONDITIONED norm type for convergence test estimating eigenvalues using noisy right hand side maximum iterations=3, nonzero initial guess tolerances: relative=1e-05, absolute=1e-50, divergence=10000. left preconditioning using NONE norm type for convergence test PC Object: (mg_levels_2_) 1 MPI processes type: sor type = local_symmetric, iterations = 1, local iterations = 1, omega = 1. linear system matrix = precond matrix: Mat Object: 1 MPI processes type: seqaij rows=240, cols=240 total: nonzeros=720, allocated nonzeros=720 not using I-node routines Up solver (post-smoother) same as down solver (pre-smoother) linear system matrix = precond matrix: Mat Object: 1 MPI processes type: seqaij rows=240, cols=240 total: nonzeros=720, allocated nonzeros=720 not using I-node routines