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 0.0134978 time 0.115991
13 TS dt 0.0135234 time 0.129489
14 TS dt 0.00483662 time 0.133833
15 TS dt 0.00989762 time 0.13867
16 TS dt 0.0135664 time 0.148568
17 TS dt 0.0136112 time 0.162134
18 TS dt 0.00457065 time 0.166112
19 TS dt 0.00912822 time 0.170683
20 TS dt 0.0136007 time 0.179811
21 TS dt 0.0137043 time 0.193412
22 TS dt 0.00497896 time 0.197785
23 TS dt 0.0102583 time 0.202764
24 TS dt 0.0137316 time 0.213023
25 TS dt 0.013782 time 0.226754
26 TS dt 0.00416982 time 0.229921
27 TS dt 0.00743928 time 0.234091
28 TS dt 0.0133752 time 0.24153
29 TS dt 0.0138678 time 0.254905
30 TS dt 0.0125017 time 0.268773
31 TS dt 0.00188482 time 0.269814
32 TS dt 0.00229215 time 0.271698
33 TS dt 0.00317053 time 0.273991
34 TS dt 0.0047745 time 0.277161
35 TS dt 0.00858367 time 0.281936
36 TS dt 0.0138083 time 0.290519
37 TS dt 0.0139896 time 0.304328
TS Object: 1 MPI process
  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 process
    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 process
    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 process
      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 process
      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 process
      type: mg
        type is MULTIPLICATIVE, levels=3 cycles=v
          Cycles per PCApply=1
          Not using Galerkin computed coarse grid matrices
      Coarse grid solver -- level 0 -------------------------------
        KSP Object: (mg_coarse_) 1 MPI process
          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 process
          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: (mg_coarse_) 1 MPI process
                  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 process
            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 process
          type: chebyshev
            Chebyshev polynomial of first kind
            eigenvalue targets used: min 0.1, max 1.1
            eigenvalues estimated via gmres: min 1., max 1.
            eigenvalues estimated using gmres with transform: [0. 0.1; 0. 1.1]
            KSP Object: (mg_levels_1_esteig_) 1 MPI process
              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 process
          type: sor
            type = local_symmetric, iterations = 1, local iterations = 1, omega = 1.
          linear system matrix = precond matrix:
          Mat Object: 1 MPI process
            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 process
          type: chebyshev
            Chebyshev polynomial of first kind
            eigenvalue targets used: min 0.1, max 1.1
            eigenvalues estimated via gmres: min 1., max 1.
            eigenvalues estimated using gmres with transform: [0. 0.1; 0. 1.1]
            KSP Object: (mg_levels_2_esteig_) 1 MPI process
              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 process
          type: sor
            type = local_symmetric, iterations = 1, local iterations = 1, omega = 1.
          linear system matrix = precond matrix:
          Mat Object: 1 MPI process
            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 process
        type: seqaij
        rows=240, cols=240
        total: nonzeros=720, allocated nonzeros=720
          not using I-node routines
