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 0.00490871 time 0.133782
15 TS dt 0.010074 time 0.138691
16 TS dt 0.0135707 time 0.148765
17 TS dt 0.013607 time 0.162336
18 TS dt 0.00443555 time 0.165994
19 TS dt 0.00853853 time 0.17043
20 TS dt 0.0135363 time 0.178968
21 TS dt 0.0136954 time 0.192504
22 TS dt 0.00535735 time 0.197245
23 TS dt 0.0108939 time 0.202602
24 TS dt 0.0137448 time 0.213496
25 TS dt 0.0137631 time 0.227241
26 TS dt 0.00362895 time 0.229783
27 TS dt 0.00578029 time 0.233412
28 TS dt 0.0111986 time 0.239193
29 TS dt 0.013832 time 0.250391
30 TS dt 0.013781 time 0.264223
31 TS dt 0.00305704 time 0.26618
32 TS dt 0.0043779 time 0.269237
33 TS dt 0.0076831 time 0.273615
34 TS dt 0.0135611 time 0.281298
35 TS dt 0.0139794 time 0.29486
36 TS dt 0.00580298 time 0.299731
37 TS dt 0.0115935 time 0.305534
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 a noisy random number generated 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 a noisy random number generated 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
