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 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
