      Linear solve converged due to CONVERGED_RTOL iterations 12
      Linear solve converged due to CONVERGED_RTOL iterations 12
    Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 2
    Linear solve converged due to CONVERGED_RTOL iterations 8
    Linear solve converged due to CONVERGED_RTOL iterations 8
  Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 2
  Linear solve converged due to CONVERGED_RTOL iterations 8
  Linear solve converged due to CONVERGED_RTOL iterations 8
Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 2
SNES Object: 2 MPI processes
  type: newtonls
  maximum iterations=50, maximum function evaluations=10000
  tolerances: relative=1e-08, absolute=1e-50, solution=1e-08
  total number of linear solver iterations=16
  total number of function evaluations=729
  norm schedule ALWAYS
  total number of grid sequence refinements=2
  SNESLineSearch Object:   2 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:   2 MPI processes
    type: fgmres
      GMRES: restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement
      GMRES: happy breakdown tolerance 1e-30
    maximum iterations=10000, initial guess is zero
    tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
    right preconditioning
    using UNPRECONDITIONED norm type for convergence test
  PC Object:   2 MPI processes
    type: mg
      MG: type is FULL, levels=3 cycles=v
        Not using Galerkin computed coarse grid matrices
    Coarse grid solver -- level -------------------------------
      KSP Object:      (mg_coarse_)       2 MPI processes
        type: gmres
          GMRES: restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement
          GMRES: happy breakdown tolerance 1e-30
        maximum iterations=6, 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_)       2 MPI processes
        type: none
        linear system matrix = precond matrix:
        Mat Object:         2 MPI processes
          type: mffd
          rows=21, cols=21
            Matrix-free approximation:
              err=1.49012e-08 (relative error in function evaluation)
              Using wp compute h routine
                  Does not compute normU
    Down solver (pre-smoother) on level 1 -------------------------------
      KSP Object:      (mg_levels_1_)       2 MPI processes
        type: gmres
          GMRES: restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement
          GMRES: happy breakdown tolerance 1e-30
        maximum iterations=3
        tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
        left preconditioning
        using nonzero initial guess
        using NONE norm type for convergence test
      PC Object:      (mg_levels_1_)       2 MPI processes
        type: none
        linear system matrix = precond matrix:
        Mat Object:         2 MPI processes
          type: mffd
          rows=39, cols=39
            Matrix-free approximation:
              err=1.49012e-08 (relative error in function evaluation)
              Using wp compute h routine
                  Does not compute normU
    Up solver (post-smoother) same as down solver (pre-smoother)
    Down solver (pre-smoother) on level 2 -------------------------------
      KSP Object:      (mg_levels_2_)       2 MPI processes
        type: gmres
          GMRES: restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement
          GMRES: happy breakdown tolerance 1e-30
        maximum iterations=3
        tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
        left preconditioning
        using nonzero initial guess
        using NONE norm type for convergence test
      PC Object:      (mg_levels_2_)       2 MPI processes
        type: none
        linear system matrix = precond matrix:
        Mat Object:         2 MPI processes
          type: mffd
          rows=75, cols=75
            Matrix-free approximation:
              err=1.49012e-08 (relative error in function evaluation)
              Using wp compute h routine
                  Does not compute normU
    Up solver (post-smoother) same as down solver (pre-smoother)
    linear system matrix = precond matrix:
    Mat Object:     2 MPI processes
      type: mffd
      rows=75, cols=75
        Matrix-free approximation:
          err=1.49012e-08 (relative error in function evaluation)
          Using wp compute h routine
              Does not compute normU
