  0 KSP Residual norm 0.330719 
      Residual norms for mg_levels_1_ solve.
      0 KSP Residual norm 0.899848 
      1 KSP Residual norm 0.229794 
      2 KSP Residual norm 0.268971 
      Residual norms for mg_levels_1_ solve.
      0 KSP Residual norm 0.19567 
      1 KSP Residual norm 0.0262392 
      2 KSP Residual norm 0.0594381 
    Residual norms for mg_levels_2_ solve.
    0 KSP Residual norm 0.605794 
    1 KSP Residual norm 0.322164 
    2 KSP Residual norm 0.361297 
      Residual norms for mg_levels_1_ solve.
      0 KSP Residual norm 0.165592 
      1 KSP Residual norm 0.0737661 
      2 KSP Residual norm 0.0701833 
      Residual norms for mg_levels_1_ solve.
      0 KSP Residual norm 0.0341316 
      1 KSP Residual norm 0.0197233 
      2 KSP Residual norm 0.0159371 
    Residual norms for mg_levels_2_ solve.
    0 KSP Residual norm 0.282729 
    1 KSP Residual norm 0.254652 
    2 KSP Residual norm 0.171975 
  1 KSP Residual norm 0.0564024 
      Residual norms for mg_levels_1_ solve.
      0 KSP Residual norm 0.42412 
      1 KSP Residual norm 0.233491 
      2 KSP Residual norm 0.189379 
      Residual norms for mg_levels_1_ solve.
      0 KSP Residual norm 0.0536388 
      1 KSP Residual norm 0.0209497 
      2 KSP Residual norm 0.0191331 
    Residual norms for mg_levels_2_ solve.
    0 KSP Residual norm 0.536417 
    1 KSP Residual norm 0.550436 
    2 KSP Residual norm 0.341307 
      Residual norms for mg_levels_1_ solve.
      0 KSP Residual norm 0.100908 
      1 KSP Residual norm 0.0391595 
      2 KSP Residual norm 0.0457296 
      Residual norms for mg_levels_1_ solve.
      0 KSP Residual norm 0.0233706 
      1 KSP Residual norm 0.0121595 
      2 KSP Residual norm 0.0101973 
    Residual norms for mg_levels_2_ solve.
    0 KSP Residual norm 0.189863 
    1 KSP Residual norm 0.150913 
    2 KSP Residual norm 0.114547 
  2 KSP Residual norm 0.00232145 
      Residual norms for mg_levels_1_ solve.
      0 KSP Residual norm 0.301442 
      1 KSP Residual norm 0.170575 
      2 KSP Residual norm 0.125358 
      Residual norms for mg_levels_1_ solve.
      0 KSP Residual norm 0.0428101 
      1 KSP Residual norm 0.0126135 
      2 KSP Residual norm 0.0133218 
    Residual norms for mg_levels_2_ solve.
    0 KSP Residual norm 0.480202 
    1 KSP Residual norm 0.298271 
    2 KSP Residual norm 0.267201 
      Residual norms for mg_levels_1_ solve.
      0 KSP Residual norm 0.149786 
      1 KSP Residual norm 0.0974251 
      2 KSP Residual norm 0.058126 
      Residual norms for mg_levels_1_ solve.
      0 KSP Residual norm 0.0125312 
      1 KSP Residual norm 0.00444058 
      2 KSP Residual norm 0.00549841 
    Residual norms for mg_levels_2_ solve.
    0 KSP Residual norm 0.110128 
    1 KSP Residual norm 0.0435796 
    2 KSP Residual norm 0.0611157 
  3 KSP Residual norm 8.4463e-05 
      Residual norms for mg_levels_1_ solve.
      0 KSP Residual norm 0.256437 
      1 KSP Residual norm 0.137633 
      2 KSP Residual norm 0.105037 
      Residual norms for mg_levels_1_ solve.
      0 KSP Residual norm 0.0228484 
      1 KSP Residual norm 0.00366149 
      2 KSP Residual norm 0.00683551 
    Residual norms for mg_levels_2_ solve.
    0 KSP Residual norm 0.371586 
    1 KSP Residual norm 0.59478 
    2 KSP Residual norm 0.263708 
      Residual norms for mg_levels_1_ solve.
      0 KSP Residual norm 0.0694262 
      1 KSP Residual norm 0.0270171 
      2 KSP Residual norm 0.0213694 
      Residual norms for mg_levels_1_ solve.
      0 KSP Residual norm 0.012814 
      1 KSP Residual norm 0.00637003 
      2 KSP Residual norm 0.00492157 
    Residual norms for mg_levels_2_ solve.
    0 KSP Residual norm 0.0974191 
    1 KSP Residual norm 0.141898 
    2 KSP Residual norm 0.0691764 
  4 KSP Residual norm 3.84347e-06 
      Residual norms for mg_levels_1_ solve.
      0 KSP Residual norm 0.107233 
      1 KSP Residual norm 0.0147854 
      2 KSP Residual norm 0.0364681 
      Residual norms for mg_levels_1_ solve.
      0 KSP Residual norm 0.0218185 
      1 KSP Residual norm 0.00219746 
      2 KSP Residual norm 0.00678242 
    Residual norms for mg_levels_2_ solve.
    0 KSP Residual norm 0.286046 
    1 KSP Residual norm 0.227503 
    2 KSP Residual norm 0.186953 
      Residual norms for mg_levels_1_ solve.
      0 KSP Residual norm 0.0441929 
      1 KSP Residual norm 0.0341165 
      2 KSP Residual norm 0.0248017 
      Residual norms for mg_levels_1_ solve.
      0 KSP Residual norm 0.00433193 
      1 KSP Residual norm 0.00227893 
      2 KSP Residual norm 0.00201224 
    Residual norms for mg_levels_2_ solve.
    0 KSP Residual norm 0.0895573 
    1 KSP Residual norm 0.0540109 
    2 KSP Residual norm 0.0591079 
  5 KSP Residual norm 6.53482e-08 
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: 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_)     2 MPI processes
      type: redundant
        Redundant preconditioner: First (color=0) of 2 PCs follows
      KSP Object:      (mg_coarse_redundant_)       1 MPI processes
        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_redundant_)       1 MPI processes
        type: lu
          LU: out-of-place factorization
          tolerance for zero pivot 2.22045e-14
          matrix ordering: nd
          factor fill ratio given 5, needed 1
            Factored matrix follows:
              Matrix Object:               1 MPI processes
                type: seqaij
                rows=3, cols=3
                package used to perform factorization: petsc
                total: nonzeros=7, allocated nonzeros=7
                total number of mallocs used during MatSetValues calls =0
                  not using I-node routines
        linear system matrix = precond matrix:
        Matrix Object:         1 MPI processes
          type: seqaij
          rows=3, cols=3
          total: nonzeros=7, allocated nonzeros=9
          total number of mallocs used during MatSetValues calls =0
            not using I-node routines
      linear system matrix = precond matrix:
      Matrix Object:       2 MPI processes
        type: mpiaij
        rows=3, cols=3
        total: nonzeros=7, allocated nonzeros=18
        total number of mallocs used during MatSetValues calls =0
  Down solver (pre-smoother) on level 1 -------------------------------
    KSP Object:    (mg_levels_1_)     2 MPI processes
      type: chebyshev
        Chebyshev: eigenvalue estimates:  min = 0.451996, max = 4.97196
        Chebyshev: estimated using:  [0 0.1; 0 1.1]
        KSP Object:        (mg_levels_1_est_)         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=10
          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: sor
            SOR: type = local_symmetric, iterations = 1, local iterations = 1, omega = 1
          linear system matrix = precond matrix:
          Matrix Object:           2 MPI processes
            type: mpiaij
            rows=5, cols=5
            total: nonzeros=13, allocated nonzeros=30
            total number of mallocs used during MatSetValues calls =0
      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_)     2 MPI processes
      type: sor
        SOR: type = local_symmetric, iterations = 1, local iterations = 1, omega = 1
      linear system matrix = precond matrix:
      Matrix Object:       2 MPI processes
        type: mpiaij
        rows=5, cols=5
        total: nonzeros=13, allocated nonzeros=30
        total number of mallocs used during MatSetValues calls =0
  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: chebyshev
        Chebyshev: eigenvalue estimates:  min = 0.291136, max = 3.20249
        Chebyshev: estimated using:  [0 0.1; 0 1.1]
        KSP Object:        (mg_levels_2_est_)         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=10
          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: sor
            SOR: type = local_symmetric, iterations = 1, local iterations = 1, omega = 1
          linear system matrix = precond matrix:
          Matrix Object:           2 MPI processes
            type: mpiaij
            rows=9, cols=9
            total: nonzeros=25, allocated nonzeros=54
            total number of mallocs used during MatSetValues calls =0
      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_)     2 MPI processes
      type: sor
        SOR: type = local_symmetric, iterations = 1, local iterations = 1, omega = 1
      linear system matrix = precond matrix:
      Matrix Object:       2 MPI processes
        type: mpiaij
        rows=9, cols=9
        total: nonzeros=25, allocated nonzeros=54
        total number of mallocs used during MatSetValues calls =0
  Up solver (post-smoother) same as down solver (pre-smoother)
  linear system matrix = precond matrix:
  Matrix Object:   2 MPI processes
    type: mpiaij
    rows=9, cols=9
    total: nonzeros=25, allocated nonzeros=54
    total number of mallocs used during MatSetValues calls =0
Residual norm 4.80067e-08
