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 0.0135238 time 0.129489
14 TS dt 0.00494253 time 0.133832
15 TS dt 0.0101592 time 0.138775
16 TS dt 0.0135719 time 0.148934
17 TS dt 0.0136045 time 0.162506
18 TS dt 0.00437533 time 0.16608
19 TS dt 0.00831549 time 0.170455
20 TS dt 0.013504 time 0.17877
21 TS dt 0.0136927 time 0.192274
22 TS dt 0.00553705 time 0.19724
23 TS dt 0.010971 time 0.202777
24 TS dt 0.0137439 time 0.213748
25 TS dt 0.0137512 time 0.227492
26 TS dt 0.00340744 time 0.229825
27 TS dt 0.00522351 time 0.233233
28 TS dt 0.00987025 time 0.238456
29 TS dt 0.0138095 time 0.248327
30 TS dt 0.0138628 time 0.262136
31 TS dt 0.00395333 time 0.264939
32 TS dt 0.00660476 time 0.268892
33 TS dt 0.0126727 time 0.275497
34 TS dt 0.0139527 time 0.288169
35 TS dt 0.0132832 time 0.302122
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
