lid velocity = 0.00591716, prandtl # = 1., grashof # = 1.
  0 SNES Function norm 7.886953101160e-02
    0 KSP Residual norm 2.548442517773e-01
    1 KSP Residual norm 6.657953043844e-02
    2 KSP Residual norm 3.970328307456e-02
    3 KSP Residual norm 2.153356244113e-02
    4 KSP Residual norm 1.028395497706e-02
    5 KSP Residual norm 5.254151728837e-03
    6 KSP Residual norm 2.786069676341e-03
    7 KSP Residual norm 1.514209128710e-03
    8 KSP Residual norm 6.451025748057e-04
    9 KSP Residual norm 2.202514757178e-04
   10 KSP Residual norm 7.120912928545e-05
   11 KSP Residual norm 4.856498175827e-05
   12 KSP Residual norm 4.178241309940e-05
   13 KSP Residual norm 2.690010116634e-05
   14 KSP Residual norm 8.597870018211e-06
   15 KSP Residual norm 3.448230828347e-06
   16 KSP Residual norm 1.905679944706e-06
  1 SNES Function norm 7.523380280728e-06
    0 KSP Residual norm 9.372752996499e-06
    1 KSP Residual norm 3.889244985848e-06
    2 KSP Residual norm 2.576633189913e-06
    3 KSP Residual norm 1.640824714253e-06
    4 KSP Residual norm 8.121444685440e-07
    5 KSP Residual norm 6.025556127933e-07
    6 KSP Residual norm 4.341981202218e-07
    7 KSP Residual norm 2.382937129969e-07
    8 KSP Residual norm 1.217484948142e-07
    9 KSP Residual norm 6.485014544191e-08
   10 KSP Residual norm 3.660184387648e-08
   11 KSP Residual norm 2.124938471781e-08
   12 KSP Residual norm 1.272067754225e-08
   13 KSP Residual norm 8.718327356060e-09
   14 KSP Residual norm 4.145891961650e-09
   15 KSP Residual norm 2.035221259744e-09
   16 KSP Residual norm 1.062365611127e-09
   17 KSP Residual norm 5.546884137188e-10
   18 KSP Residual norm 3.065539205269e-10
   19 KSP Residual norm 1.523306828643e-10
   20 KSP Residual norm 7.837972635953e-11
  2 SNES Function norm 9.295813420500e-11
SNES Object: 2 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=36
  total number of function evaluations=3
  norm schedule ALWAYS
  Jacobian is built using colored finite differences on a DMDA
  SNESLineSearch Object: 2 MPI processes
    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: 2 MPI processes
    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: 2 MPI processes
    type: hypre
      HYPRE Euclid preconditioning
        default factorization levels 
        drop tolerance 0.
        use Block-Jacobi? 1
    linear system matrix, which is also used to construct the preconditioner:
    Mat Object: 2 MPI processes
      type: mpiaij
      rows=676, cols=676, bs=4
      total: nonzeros=12688, allocated nonzeros=12688
      total number of mallocs used during MatSetValues calls=0
Number of SNES iterations = 2