lid velocity = 0.000106281, prandtl # = 1., grashof # = 1. 0 SNES Function norm 1.036007954337e-02 0 KSP Residual norm 3.529801578944e+00 1 KSP Residual norm 9.549227287830e-01 2 KSP Residual norm 1.833989370926e-01 3 KSP Residual norm 3.207579266155e-02 4 KSP Residual norm 1.205175868015e-02 5 KSP Residual norm 3.633439929268e-03 6 KSP Residual norm 7.859510138803e-04 7 KSP Residual norm 1.906870003209e-04 8 KSP Residual norm 3.576753906104e-05 9 KSP Residual norm 7.330444204372e-06 1 SNES Function norm 3.201130806131e-06 0 KSP Residual norm 4.428492869097e-05 1 KSP Residual norm 1.376439700414e-05 2 KSP Residual norm 4.735862478488e-06 3 KSP Residual norm 1.441618472811e-06 4 KSP Residual norm 5.469745765483e-07 5 KSP Residual norm 9.791769343634e-08 6 KSP Residual norm 3.666388214924e-08 7 KSP Residual norm 1.110122757449e-08 8 KSP Residual norm 2.336948935104e-09 9 KSP Residual norm 4.378689442660e-10 2 SNES Function norm 2.503925085367e-10 0 KSP Residual norm 4.377201912341e-10 1 KSP Residual norm 1.301710740308e-10 2 KSP Residual norm 4.911627444716e-11 3 KSP Residual norm 1.629334185679e-11 4 KSP Residual norm 3.966572220621e-12 5 KSP Residual norm 1.201091398418e-12 6 KSP Residual norm 2.399034074753e-13 7 KSP Residual norm 5.152830599460e-14 8 KSP Residual norm 1.728793265661e-14 9 KSP Residual norm 4.944662929385e-15 10 KSP Residual norm 1.518465265686e-15 3 SNES Function norm 1.014356640724e-14 SNES Object: 4 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=28 total number of function evaluations=4 norm schedule ALWAYS Jacobian is built using colored finite differences on a DMDA SNESLineSearch Object: 4 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: 4 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: 4 MPI processes type: hypre HYPRE BoomerAMG preconditioning Cycle type V Maximum number of levels 25 Maximum number of iterations PER hypre call 1 Convergence tolerance PER hypre call 0. Threshold for strong coupling 0.25 Interpolation truncation factor 0. Interpolation: max elements per row 0 Number of levels of aggressive coarsening 0 Number of paths for aggressive coarsening 1 Maximum row sums 0.9 Sweeps down 1 Sweeps up 1 Sweeps on coarse 1 Relax down symmetric-SOR/Jacobi Relax up symmetric-SOR/Jacobi Relax on coarse Gaussian-elimination Relax weight (all) 1. Outer relax weight (all) 1. Using CF-relaxation Not using more complex smoothers. Measure type local Coarsen type Falgout Interpolation type classical linear system matrix = precond matrix: Mat Object: 4 MPI processes type: mpiaij rows=37636, cols=37636, bs=4 total: nonzeros=746512, allocated nonzeros=746512 total number of mallocs used during MatSetValues calls=0 Number of SNES iterations = 3