  0 KSP Residual norm 0.728046
  1 KSP Residual norm 0.000452561
  2 KSP Residual norm 5.56117e-05
  3 KSP Residual norm 1.48949e-06
KSP Object: 4 MPI processes
  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: 4 MPI processes
  type: mg
    type is FULL, levels=4 cycles=v
      Not using Galerkin computed coarse grid matrices
  Coarse grid solver -- level 0 -------------------------------
    KSP Object: (mg_coarse_) 4 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_) 4 MPI processes
      type: redundant
        First (color=0) of 4 PCs follows
        KSP Object: (mg_coarse_redundant_) 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_redundant_) 1 MPI process
          type: svd
            All singular values smaller than 1e-12 treated as zero
            Provided essential rank of the matrix 0 (all other eigenvalues are zeroed)
          linear system matrix = precond matrix:
          Mat Object: 1 MPI process
            type: seqaij
            rows=121, cols=121
            total: nonzeros=583, allocated nonzeros=583
            total number of mallocs used during MatSetValues calls=0
              not using I-node routines
      linear system matrix = precond matrix:
      Mat Object: 4 MPI processes
        type: mpiaij
        rows=121, cols=121
        total: nonzeros=583, allocated nonzeros=583
        total number of mallocs used during MatSetValues calls=0
          has attached null space
  Down solver (pre-smoother) on level 1 -------------------------------
    KSP Object: (mg_levels_1_) 4 MPI processes
      type: chebyshev
        Chebyshev polynomial of first kind
        eigenvalue targets used: min 0.149975, max 1.64973
        eigenvalues estimated via gmres: min 0.0251646, max 1.49975
        eigenvalues estimated using gmres with transform: [0. 0.1; 0. 1.1]
        KSP Object: (mg_levels_1_esteig_) 4 MPI processes
          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=2, 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_) 4 MPI processes
      type: sor
        type = local_symmetric, iterations = 1, local iterations = 1, omega = 1.
      linear system matrix = precond matrix:
      Mat Object: 4 MPI processes
        type: mpiaij
        rows=462, cols=462
        total: nonzeros=2266, allocated nonzeros=2266
        total number of mallocs used during MatSetValues calls=0
          has attached null space
  Up solver (post-smoother) same as down solver (pre-smoother)
  Down solver (pre-smoother) on level 2 -------------------------------
    KSP Object: (mg_levels_2_) 4 MPI processes
      type: chebyshev
        Chebyshev polynomial of first kind
        eigenvalue targets used: min 0.149919, max 1.64911
        eigenvalues estimated via gmres: min 0.0224513, max 1.49919
        eigenvalues estimated using gmres with transform: [0. 0.1; 0. 1.1]
        KSP Object: (mg_levels_2_esteig_) 4 MPI processes
          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=2, 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_) 4 MPI processes
      type: sor
        type = local_symmetric, iterations = 1, local iterations = 1, omega = 1.
      linear system matrix = precond matrix:
      Mat Object: 4 MPI processes
        type: mpiaij
        rows=1804, cols=1804
        total: nonzeros=8932, allocated nonzeros=8932
        total number of mallocs used during MatSetValues calls=0
          has attached null space
  Up solver (post-smoother) same as down solver (pre-smoother)
  Down solver (pre-smoother) on level 3 -------------------------------
    KSP Object: (mg_levels_3_) 4 MPI processes
      type: chebyshev
        Chebyshev polynomial of first kind
        eigenvalue targets used: min 0.149758, max 1.64734
        eigenvalues estimated via gmres: min 0.0187827, max 1.49758
        eigenvalues estimated using gmres with transform: [0. 0.1; 0. 1.1]
        KSP Object: (mg_levels_3_esteig_) 4 MPI processes
          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=2, 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_3_) 4 MPI processes
      type: sor
        type = local_symmetric, iterations = 1, local iterations = 1, omega = 1.
      linear system matrix = precond matrix:
      Mat Object: 4 MPI processes
        type: mpiaij
        rows=7128, cols=7128
        total: nonzeros=35464, allocated nonzeros=35464
        total number of mallocs used during MatSetValues calls=0
          has attached null space
  Up solver (post-smoother) same as down solver (pre-smoother)
  linear system matrix = precond matrix:
  Mat Object: 4 MPI processes
    type: mpiaij
    rows=7128, cols=7128
    total: nonzeros=35464, allocated nonzeros=35464
    total number of mallocs used during MatSetValues calls=0
      has attached null space
