  Residual norms for rap_ solve.
  0 KSP Residual norm 5.001805196538e+03
  1 KSP Residual norm 8.038104956359e+02
  2 KSP Residual norm 2.557235090581e+02
  3 KSP Residual norm 5.584941718261e+01
  4 KSP Residual norm 1.230718691206e+01
  5 KSP Residual norm 3.360014755230e+00
  6 KSP Residual norm 1.822877144626e+00
  7 KSP Residual norm 7.845811972400e-01
  8 KSP Residual norm 1.514304018873e-01
  9 KSP Residual norm 3.061507576027e-02
  Linear rap_ solve converged due to CONVERGED_RTOL iterations 9
KSP Object: (rap_) 8 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: (rap_) 8 MPI processes
  type: mg
    type is MULTIPLICATIVE, levels=2 cycles=v
      Cycles per PCApply=1
      Using Galerkin computed coarse grid matrices for pmat
  Coarse grid solver -- level 0 -------------------------------
    KSP Object: (rap_mg_coarse_) 8 MPI processes
      type: cg
      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: (rap_mg_coarse_) 8 MPI processes
      type: pbjacobi
        point-block size 6
      linear system matrix = precond matrix:
      Mat Object: 8 MPI processes
        type: mpiaij
        rows=114, cols=114, bs=6
        total: nonzeros=8892, allocated nonzeros=8892
        total number of mallocs used during MatSetValues calls=0
          using nonscalable MatPtAP() implementation
          using I-node (on process 0) routines: found 11 nodes, limit used is 5
  Down solver (pre-smoother) on level 1 -------------------------------
    KSP Object: (rap_mg_levels_1_) 8 MPI processes
      type: chebyshev
        Chebyshev polynomial of first kind
        eigenvalue targets used: min 0.311735, max 3.42909
        eigenvalues estimated via cg: min 0.050929, max 3.11735
        eigenvalues estimated using cg with transform: [0. 0.1; 0. 1.1]
        KSP Object: (rap_mg_levels_1_esteig_) 8 MPI processes
          type: cg
          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: (rap_mg_levels_1_) 8 MPI processes
      type: pbjacobi
        point-block size 3
      linear system matrix = precond matrix:
      Mat Object: 8 MPI processes
        type: mpiaij
        rows=1536, cols=1536, bs=3
        total: nonzeros=95832, allocated nonzeros=124416
        total number of mallocs used during MatSetValues calls=0
          has attached near null space
          using I-node (on process 0) routines: found 64 nodes, limit used is 5
  Up solver (post-smoother) same as down solver (pre-smoother)
  linear system matrix = precond matrix:
  Mat Object: 8 MPI processes
    type: mpiaij
    rows=1536, cols=1536, bs=3
    total: nonzeros=95832, allocated nonzeros=124416
    total number of mallocs used during MatSetValues calls=0
      has attached near null space
      using I-node (on process 0) routines: found 64 nodes, limit used is 5
Mat Object: 8 MPI processes
  type: mpiaij
  rows=114, cols=114, bs=6
  total: nonzeros=8892, allocated nonzeros=8892
  total number of mallocs used during MatSetValues calls=0
    using nonscalable MatPtAP() implementation
    using I-node (on process 0) routines: found 11 nodes, limit used is 5
