lid velocity = 0.00591716, prandtl # = 1., grashof # = 1.
  0 SNES Function norm 7.886953101160e-02
    0 KSP Residual norm 1.746381225827e-01
    1 KSP Residual norm 7.004704630590e-02
    2 KSP Residual norm 4.385856078301e-02
    3 KSP Residual norm 2.991734996742e-02
    4 KSP Residual norm 1.541826196440e-02
    5 KSP Residual norm 6.602560554899e-03
    6 KSP Residual norm 2.694428161302e-03
    7 KSP Residual norm 1.622977097479e-03
    8 KSP Residual norm 8.474224154098e-04
    9 KSP Residual norm 3.360585541731e-04
   10 KSP Residual norm 1.753532737046e-04
   11 KSP Residual norm 7.356382477417e-05
   12 KSP Residual norm 3.555027783012e-05
   13 KSP Residual norm 2.522543733667e-05
   14 KSP Residual norm 1.650061977888e-05
   15 KSP Residual norm 1.317943743207e-05
   16 KSP Residual norm 5.987224752271e-06
   17 KSP Residual norm 2.746393568458e-06
   18 KSP Residual norm 1.161746985368e-06
  1 SNES Function norm 7.905777117971e-06
    0 KSP Residual norm 7.310793191220e-06
    1 KSP Residual norm 4.274292904265e-06
    2 KSP Residual norm 2.554221716108e-06
    3 KSP Residual norm 1.805162190427e-06
    4 KSP Residual norm 1.302059663179e-06
    5 KSP Residual norm 6.900263715957e-07
    6 KSP Residual norm 3.865286574893e-07
    7 KSP Residual norm 2.011026678421e-07
    8 KSP Residual norm 1.279189993428e-07
    9 KSP Residual norm 7.486230255819e-08
   10 KSP Residual norm 4.486174933669e-08
   11 KSP Residual norm 2.718057584265e-08
   12 KSP Residual norm 1.522342632160e-08
   13 KSP Residual norm 1.092746533309e-08
   14 KSP Residual norm 4.600296733527e-09
   15 KSP Residual norm 2.138995973823e-09
   16 KSP Residual norm 1.188059540268e-09
   17 KSP Residual norm 9.983011502733e-10
   18 KSP Residual norm 8.037619089070e-10
   19 KSP Residual norm 4.531479206633e-10
   20 KSP Residual norm 2.327066112499e-10
   21 KSP Residual norm 1.466975986836e-10
   22 KSP Residual norm 1.046387755681e-10
   23 KSP Residual norm 4.595843286107e-11
  2 SNES Function norm 1.464393747580e-10
SNES Object: 1 MPI process
  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=41
  total number of function evaluations=3
  norm schedule ALWAYS
  Jacobian is built using colored finite differences on a DMDA
  SNESLineSearch Object: 1 MPI process
    type: bt
      interpolation: cubic
      alpha=1.000000e-04
    maxlambda=1.000000e+00, minlambda=1.000000e-12
    tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08
    maximum iterations=40
  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: hypre
      HYPRE Euclid preconditioning
        default factorization levels 
        drop tolerance 0.1
        use Block-Jacobi? 0
    linear system matrix = precond matrix:
    Mat Object: 1 MPI process
      type: seqaij
      rows=676, cols=676, bs=4
      total: nonzeros=12688, allocated nonzeros=12688
      total number of mallocs used during MatSetValues calls=0
        using I-node routines: found 169 nodes, limit used is 5
Number of SNES iterations = 2
