lid velocity = 2.68464e-05, prandtl # = 1., grashof # = 1.
  0 SNES Function norm 5.194474049528e-03 
    0 KSP Residual norm 6.819303491209e+00 
    1 KSP Residual norm 1.850363984018e+00 
    2 KSP Residual norm 3.924058636910e-01 
    3 KSP Residual norm 7.372594964587e-02 
    4 KSP Residual norm 1.723288745095e-02 
    5 KSP Residual norm 8.046229733678e-03 
    6 KSP Residual norm 2.214437703455e-03 
    7 KSP Residual norm 5.414760934146e-04 
    8 KSP Residual norm 1.676808479497e-04 
    9 KSP Residual norm 3.801847677306e-05 
  1 SNES Function norm 1.631151027638e-05 
    0 KSP Residual norm 8.571618631942e-05 
    1 KSP Residual norm 3.527402633077e-05 
    2 KSP Residual norm 1.286936708668e-05 
    3 KSP Residual norm 4.692305337203e-06 
    4 KSP Residual norm 1.990191999204e-06 
    5 KSP Residual norm 4.620809375870e-07 
    6 KSP Residual norm 1.754297745980e-07 
    7 KSP Residual norm 5.368658314269e-08 
    8 KSP Residual norm 1.719125605242e-08 
    9 KSP Residual norm 4.644006928101e-09 
   10 KSP Residual norm 1.084908116059e-09 
   11 KSP Residual norm 4.422746462304e-10 
  2 SNES Function norm 1.893248721367e-10 
    0 KSP Residual norm 4.426269007489e-10 
    1 KSP Residual norm 2.958035539424e-10 
    2 KSP Residual norm 1.198258558837e-10 
    3 KSP Residual norm 3.526101514884e-11 
    4 KSP Residual norm 1.548216029717e-11 
    5 KSP Residual norm 3.221540757110e-12 
    6 KSP Residual norm 8.048669507110e-13 
    7 KSP Residual norm 2.766085811104e-13 
    8 KSP Residual norm 8.748287832186e-14 
    9 KSP Residual norm 2.975142624952e-14 
   10 KSP Residual norm 8.568323387621e-15 
   11 KSP Residual norm 2.796021252441e-15 
  3 SNES Function norm 2.089519079018e-14 
SNES Object: 16 MPI processes
  type: newtonls
  maximum iterations=50, maximum function evaluations=10000
  tolerances: relative=1e-08, absolute=1e-50, solution=1e-08
  total number of linear solver iterations=31
  total number of function evaluations=4
  SNESLineSearch Object:   16 MPI processes
    type: bt
      interpolation: cubic
      alpha=1.000000e-04
    maxstep=1.000000e+08, minlambda=1.000000e-12
    tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08
    maximum iterations=40
  KSP Object:   16 MPI processes
    type: gmres
      GMRES: restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement
      GMRES: 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:   16 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: Measure type        local
      HYPRE BoomerAMG: Coarsen type        Falgout
      HYPRE BoomerAMG: Interpolation type  classical
    linear system matrix = precond matrix:
    Matrix Object:     16 MPI processes
      type: mpiaij
      rows=148996, cols=148996, bs=4
      total: nonzeros=2967568, allocated nonzeros=2967568
      total number of mallocs used during MatSetValues calls =0
Number of SNES iterations = 3