  0 KSP Residual norm 78.3345
  1 KSP Residual norm 10.7583
  2 KSP Residual norm 12.647
  3 KSP Residual norm 6.61255
  4 KSP Residual norm 2.08857
  5 KSP Residual norm 0.948655
  6 KSP Residual norm 0.479593
  7 KSP Residual norm 0.234874
  8 KSP Residual norm 0.0910193
  9 KSP Residual norm 0.0309807
 10 KSP Residual norm 0.012141
 11 KSP Residual norm 0.00546044
 12 KSP Residual norm 0.00244445
 13 KSP Residual norm 0.00127377
 14 KSP Residual norm 0.000692398
KSP Object: 4 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: 4 MPI processes
  type: hypre
    HYPRE BoomerAMG preconditioning
      Cycle type V
      Maximum number of levels 25
      Maximum number of iterations PER hypre call 1
      Convergence tolerance PER hypre call 0.
      Threshold for strong coupling 0.25
      Interpolation truncation factor 0.
      Interpolation: max elements per row 0
      Number of levels of aggressive coarsening 0
      Number of paths for aggressive coarsening 1
      Maximum row sums 0.9
      Sweeps down         1
      Sweeps up           1
      Sweeps on coarse    1
      Relax down          l1scaled-Jacobi
      Relax up            l1scaled-Jacobi
      Relax on coarse     Gaussian-elimination
      Relax weight  (all)      1.
      Outer relax weight (all) 1.
      Maximum size of coarsest grid 9
      Minimum size of coarsest grid 1
      Not using CF-relaxation
      Not using more complex smoothers.
      Measure type        local
      Coarsen type        PMIS
      Interpolation type  ext+i
      SpGEMM type         hypre
  linear system matrix, which is also used to construct the preconditioner:
  Mat Object: 4 MPI processes
    type: hypre
    rows=1800, cols=1800, bs=2
