  0 KSP Residual norm 0.0443241 
      Residual norms for mg_levels_1_ solve.
      0 KSP Residual norm 1.15199 
      1 KSP Residual norm 0.407194 
      2 KSP Residual norm 0.658189 
      Residual norms for mg_levels_1_ solve.
      0 KSP Residual norm 0.318701 
      1 KSP Residual norm 0.117071 
      2 KSP Residual norm 0.190163 
    Residual norms for mg_levels_2_ solve.
    0 KSP Residual norm 0.810189 
    1 KSP Residual norm 0.298615 
    2 KSP Residual norm 0.477317 
      Residual norms for mg_levels_1_ solve.
      0 KSP Residual norm 0.027259 
      1 KSP Residual norm 0.00985381 
      2 KSP Residual norm 0.0157057 
      Residual norms for mg_levels_1_ solve.
      0 KSP Residual norm 0.00779491 
      1 KSP Residual norm 0.00291156 
      2 KSP Residual norm 0.0047 
    Residual norms for mg_levels_2_ solve.
    0 KSP Residual norm 0.229091 
    1 KSP Residual norm 0.084194 
    2 KSP Residual norm 0.137516 
  1 KSP Residual norm 0.00603837 
      Residual norms for mg_levels_1_ solve.
      0 KSP Residual norm 0.0107541 
      1 KSP Residual norm 0.00335812 
      2 KSP Residual norm 0.00375247 
      Residual norms for mg_levels_1_ solve.
      0 KSP Residual norm 0.00191116 
      1 KSP Residual norm 0.000690169 
      2 KSP Residual norm 0.00102604 
    Residual norms for mg_levels_2_ solve.
    0 KSP Residual norm 0.48089 
    1 KSP Residual norm 0.17755 
    2 KSP Residual norm 0.290278 
      Residual norms for mg_levels_1_ solve.
      0 KSP Residual norm 0.0023878 
      1 KSP Residual norm 0.00207037 
      2 KSP Residual norm 0.00106876 
      Residual norms for mg_levels_1_ solve.
      0 KSP Residual norm 0.000470548 
      1 KSP Residual norm 0.000222958 
      2 KSP Residual norm 0.000272425 
    Residual norms for mg_levels_2_ solve.
    0 KSP Residual norm 0.13967 
    1 KSP Residual norm 0.0516171 
    2 KSP Residual norm 0.0843605 
  2 KSP Residual norm 1.66273e-05 
      Residual norms for mg_levels_1_ solve.
      0 KSP Residual norm 0.170015 
      1 KSP Residual norm 0.078139 
      2 KSP Residual norm 0.0922292 
      Residual norms for mg_levels_1_ solve.
      0 KSP Residual norm 0.0508079 
      1 KSP Residual norm 0.0176417 
      2 KSP Residual norm 0.0262041 
    Residual norms for mg_levels_2_ solve.
    0 KSP Residual norm 0.515401 
    1 KSP Residual norm 0.146235 
    2 KSP Residual norm 0.176232 
      Residual norms for mg_levels_1_ solve.
      0 KSP Residual norm 0.0260206 
      1 KSP Residual norm 0.00937521 
      2 KSP Residual norm 0.00632089 
      Residual norms for mg_levels_1_ solve.
      0 KSP Residual norm 0.00200191 
      1 KSP Residual norm 0.00109247 
      2 KSP Residual norm 0.000976659 
    Residual norms for mg_levels_2_ solve.
    0 KSP Residual norm 0.095702 
    1 KSP Residual norm 0.0315149 
    2 KSP Residual norm 0.0434549 
  3 KSP Residual norm 5.64541e-07 
      Residual norms for mg_levels_1_ solve.
      0 KSP Residual norm 0.153556 
      1 KSP Residual norm 0.0593926 
      2 KSP Residual norm 0.0726789 
      Residual norms for mg_levels_1_ solve.
      0 KSP Residual norm 0.0368634 
      1 KSP Residual norm 0.0132578 
      2 KSP Residual norm 0.0195873 
    Residual norms for mg_levels_2_ solve.
    0 KSP Residual norm 0.407513 
    1 KSP Residual norm 0.165745 
    2 KSP Residual norm 0.218695 
      Residual norms for mg_levels_1_ solve.
      0 KSP Residual norm 0.0178806 
      1 KSP Residual norm 0.0194426 
      2 KSP Residual norm 0.0102234 
      Residual norms for mg_levels_1_ solve.
      0 KSP Residual norm 0.00373909 
      1 KSP Residual norm 0.00183942 
      2 KSP Residual norm 0.0019353 
    Residual norms for mg_levels_2_ solve.
    0 KSP Residual norm 0.0950972 
    1 KSP Residual norm 0.0407754 
    2 KSP Residual norm 0.0579224 
  4 KSP Residual norm 7.6983e-09 
KSP Object: 1 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: 1 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_)     1 MPI processes
      type: preonly
      maximum iterations=1, 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 processes
      type: lu
        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 1.60209
          Factored matrix follows:
            Mat Object:             1 MPI processes
              type: seqaij
              rows=128, cols=128
              package used to perform factorization: petsc
              total: nonzeros=612, allocated nonzeros=612
              total number of mallocs used during MatSetValues calls =0
                not using I-node routines
      linear system matrix = precond matrix:
      Mat Object:       1 MPI processes
        type: seqaij
        rows=128, cols=128
        total: nonzeros=382, allocated nonzeros=384
        total number of mallocs used during MatSetValues calls =0
          not using I-node routines
  Down solver (pre-smoother) on level 1 -------------------------------
    KSP Object:    (mg_levels_1_)     1 MPI processes
      type: chebyshev
        Chebyshev: eigenvalue estimates:  min = 0.0999994, max = 1.09999
        Chebyshev: eigenvalues estimated using gmres with translations  [0. 0.1; 0. 1.1]
        KSP Object:        (mg_levels_1_esteig_)         1 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=10, initial guess is zero
          tolerances:  relative=1e-12, absolute=1e-50, divergence=10000.
          left preconditioning
          using PRECONDITIONED norm type for convergence test
      maximum iterations=2
      tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
      left preconditioning
      using nonzero initial guess
      using UNPRECONDITIONED norm type for convergence test
    PC Object:    (mg_levels_1_)     1 MPI processes
      type: sor
        SOR: type = local_symmetric, iterations = 1, local iterations = 1, omega = 1.
      linear system matrix = precond matrix:
      Mat Object:       1 MPI processes
        type: seqaij
        rows=255, cols=255
        total: nonzeros=763, allocated nonzeros=765
        total number of mallocs used during MatSetValues calls =0
          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 processes
      type: chebyshev
        Chebyshev: eigenvalue estimates:  min = 0.0999979, max = 1.09998
        Chebyshev: eigenvalues estimated using gmres with translations  [0. 0.1; 0. 1.1]
        KSP Object:        (mg_levels_2_esteig_)         1 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=10, initial guess is zero
          tolerances:  relative=1e-12, absolute=1e-50, divergence=10000.
          left preconditioning
          using PRECONDITIONED norm type for convergence test
      maximum iterations=2
      tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
      left preconditioning
      using nonzero initial guess
      using UNPRECONDITIONED norm type for convergence test
    PC Object:    (mg_levels_2_)     1 MPI processes
      type: sor
        SOR: type = local_symmetric, iterations = 1, local iterations = 1, omega = 1.
      linear system matrix = precond matrix:
      Mat Object:       1 MPI processes
        type: seqaij
        rows=509, cols=509
        total: nonzeros=1525, allocated nonzeros=1527
        total number of mallocs used during MatSetValues calls =0
          not using I-node routines
  Up solver (post-smoother) same as down solver (pre-smoother)
  linear system matrix = precond matrix:
  Mat Object:   1 MPI processes
    type: seqaij
    rows=509, cols=509
    total: nonzeros=1525, allocated nonzeros=1527
    total number of mallocs used during MatSetValues calls =0
      not using I-node routines
Residual norm 2.59383e-09
