  0 KSP Residual norm 4.43032 
  1 KSP Residual norm 0.198692 
  2 KSP Residual norm 0.0167081 
  3 KSP Residual norm 0.00089653 
  4 KSP Residual norm 8.75366e-05 
  5 KSP Residual norm 5.59268e-06 
KSP Object: 1 MPI process
  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: 1 MPI process
  type: gamg
    type is MULTIPLICATIVE, levels=2 cycles=v
      Cycles per PCApply=1
      Using externally compute Galerkin coarse grid matrices
      GAMG specific options
        Threshold for dropping small values in graph on each level =   0.   0.  
        Threshold scaling factor for each level not specified = 1.
        AGG specific options
          Number of levels to square graph 1
          Number smoothing steps 1
        Complexity:    grid = 1.16667    operator = 1.16
  Coarse grid solver -- level 0 -------------------------------
    KSP Object: (mg_coarse_) 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_) 1 MPI process
      type: bjacobi
        number of blocks = 1
        Local solver information for first block is in the following KSP and PC objects on rank 0:
        Use -mg_coarse_ksp_view ::ascii_info_detail to display information for all blocks
      KSP Object: (mg_coarse_sub_) 1 MPI process
        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_sub_) 1 MPI process
        type: 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.
            Factored matrix follows:
              Mat Object: (mg_coarse_sub_) 1 MPI process
                type: seqaijkokkos
                rows=4, cols=4
                package used to perform factorization: kokkos
                total: nonzeros=16, allocated nonzeros=16
                  using I-node routines: found 1 nodes, limit used is 5
        linear system matrix = precond matrix:
        Mat Object: (mg_coarse_sub_) 1 MPI process
          type: seqaijkokkos
          rows=4, cols=4
          total: nonzeros=16, allocated nonzeros=16
          total number of mallocs used during MatSetValues calls=0
            using I-node routines: found 1 nodes, limit used is 5
      linear system matrix = precond matrix:
      Mat Object: (mg_coarse_sub_) 1 MPI process
        type: seqaijkokkos
        rows=4, cols=4
        total: nonzeros=16, allocated nonzeros=16
        total number of mallocs used during MatSetValues calls=0
          using I-node routines: found 1 nodes, limit used is 5
  Down solver (pre-smoother) on level 1 -------------------------------
    KSP Object: (mg_levels_1_) 1 MPI process
      type: chebyshev
        Chebyshev polynomial of first kind
        eigenvalue targets used: min 0.185488, max 2.04037
        eigenvalues provided (min 0.145059, max 1.85488) with transform: [0. 0.1; 0. 1.1]
      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_) 1 MPI process
      type: jacobi
        type DIAGONAL
      linear system matrix = precond matrix:
      Mat Object: 1 MPI process
        type: seqaijkokkos
        rows=24, cols=24
        total: nonzeros=100, allocated nonzeros=120
        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 process
    type: seqaijkokkos
    rows=24, cols=24
    total: nonzeros=100, allocated nonzeros=120
    total number of mallocs used during MatSetValues calls=0
      not using I-node routines
Norm of error 6.48349e-06 iterations 5
