  Residual norms for elas_ solve.
  0 KSP Residual norm 4.59981 
  1 KSP Residual norm 0.210046 
  2 KSP Residual norm 0.0369896 
  3 KSP Residual norm 0.0205744 
  4 KSP Residual norm 0.0150824 
  5 KSP Residual norm 0.0048473 
  6 KSP Residual norm 0.000701029 
  7 KSP Residual norm 0.000136882 
  8 KSP Residual norm 3.73498e-05 
Linear elas_ solve converged due to CONVERGED_RTOL iterations 8
KSP Object:(elas_) 1 MPI processes
  type: cg
  maximum iterations=10000, initial guess is zero
  tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
  left preconditioning
  using NATURAL norm type for convergence test
PC Object:(elas_) 1 MPI processes
  type: hypre
    HYPRE BoomerAMG preconditioning
    HYPRE BoomerAMG: Cycle type V
    HYPRE BoomerAMG: Maximum number of levels 25
    HYPRE BoomerAMG: Maximum number of iterations PER hypre call 1
    HYPRE BoomerAMG: Convergence tolerance PER hypre call 0.
    HYPRE BoomerAMG: Threshold for strong coupling 0.25
    HYPRE BoomerAMG: Interpolation truncation factor 0.
    HYPRE BoomerAMG: Interpolation: max elements per row 0
    HYPRE BoomerAMG: Number of levels of aggressive coarsening 0
    HYPRE BoomerAMG: Number of paths for aggressive coarsening 1
    HYPRE BoomerAMG: Maximum row sums 0.9
    HYPRE BoomerAMG: Sweeps down         1
    HYPRE BoomerAMG: Sweeps up           1
    HYPRE BoomerAMG: Sweeps on coarse    1
    HYPRE BoomerAMG: Relax down          symmetric-SOR/Jacobi
    HYPRE BoomerAMG: Relax up            symmetric-SOR/Jacobi
    HYPRE BoomerAMG: Relax on coarse     Gaussian-elimination
    HYPRE BoomerAMG: Relax weight  (all)      1.
    HYPRE BoomerAMG: Outer relax weight (all) 1.
    HYPRE BoomerAMG: Using CF-relaxation
    HYPRE BoomerAMG: Not using more complex smoothers.
    HYPRE BoomerAMG: Measure type        local
    HYPRE BoomerAMG: Coarsen type        Falgout
    HYPRE BoomerAMG: Interpolation type  classical
    HYPRE BoomerAMG: Using nodal coarsening (with HYPRE_BOOMERAMGSetNodal() 6
    HYPRE BoomerAMG: HYPRE_BoomerAMGSetInterpVecVariant() 3
  linear system matrix = precond matrix:
  Mat Object:   1 MPI processes
    type: seqaij
    rows=966, cols=966, bs=2
    total: nonzeros=16348, allocated nonzeros=16348
    total number of mallocs used during MatSetValues calls =0
      has attached near null space
      using I-node routines: found 483 nodes, limit used is 5
