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 0.00493711 time 0.133814 15 TS dt 0.0101429 time 0.138751 16 TS dt 0.0135717 time 0.148894 17 TS dt 0.0136051 time 0.162466 18 TS dt 0.00438633 time 0.166048 19 TS dt 0.00835031 time 0.170435 20 TS dt 0.01351 time 0.178785 21 TS dt 0.0136929 time 0.192295 22 TS dt 0.00550644 time 0.197218 23 TS dt 0.0109745 time 0.202724 24 TS dt 0.0137446 time 0.213699 25 TS dt 0.013753 time 0.227443 26 TS dt 0.00344297 time 0.229808 27 TS dt 0.00530876 time 0.233251 28 TS dt 0.0100847 time 0.23856 29 TS dt 0.0138161 time 0.248645 30 TS dt 0.0138536 time 0.262461 31 TS dt 0.00379537 time 0.2651 32 TS dt 0.00615405 time 0.268896 33 TS dt 0.0119598 time 0.27505 34 TS dt 0.0139434 time 0.287009 35 TS dt 0.0136447 time 0.300953 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