lid velocity = 0.00591716, prandtl # = 1., grashof # = 1.
  0 SNES Function norm 7.886953101160e-02
    0 KSP Residual norm 2.754102663898e-01
    1 KSP Residual norm 8.374009197213e-02
    2 KSP Residual norm 4.018223292693e-02
    3 KSP Residual norm 1.677834401155e-02
    4 KSP Residual norm 4.476029438360e-03
    5 KSP Residual norm 1.025840243919e-03
    6 KSP Residual norm 4.022357818991e-04
    7 KSP Residual norm 2.543747778918e-04
    8 KSP Residual norm 8.540014712610e-05
    9 KSP Residual norm 5.496642692116e-05
   10 KSP Residual norm 3.340068673232e-05
   11 KSP Residual norm 1.322987879776e-05
   12 KSP Residual norm 2.939380065134e-06
   13 KSP Residual norm 1.488066255071e-06
  1 SNES Function norm 7.181051023019e-06
    0 KSP Residual norm 1.056460158451e-05
    1 KSP Residual norm 4.460590766280e-06
    2 KSP Residual norm 2.114746104895e-06
    3 KSP Residual norm 9.153484531224e-07
    4 KSP Residual norm 4.666515679608e-07
    5 KSP Residual norm 2.856533172914e-07
    6 KSP Residual norm 1.565805641773e-07
    7 KSP Residual norm 3.864244279571e-08
    8 KSP Residual norm 6.898876387826e-09
    9 KSP Residual norm 2.625970810327e-09
   10 KSP Residual norm 2.083482397126e-09
   11 KSP Residual norm 1.008559626953e-09
   12 KSP Residual norm 2.756919034662e-10
   13 KSP Residual norm 1.105279407239e-10
   14 KSP Residual norm 2.780930431919e-11
  2 SNES Function norm 2.925428958045e-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=27
  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
    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: 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? 0
    linear system matrix = precond matrix:
    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
