1lid velocity = 0.000106281, prandtl # = 1., grashof # = 1. 2 0 SNES Function norm 1.036007954337e-02 3 0 KSP Residual norm 3.529801578944e+00 4 1 KSP Residual norm 9.549227287830e-01 5 2 KSP Residual norm 1.833989370926e-01 6 3 KSP Residual norm 3.207579266155e-02 7 4 KSP Residual norm 1.205175868015e-02 8 5 KSP Residual norm 3.633439929268e-03 9 6 KSP Residual norm 7.859510138803e-04 10 7 KSP Residual norm 1.906870003209e-04 11 8 KSP Residual norm 3.576753906104e-05 12 9 KSP Residual norm 7.330444204372e-06 13 1 SNES Function norm 3.201130806131e-06 14 0 KSP Residual norm 4.428492869097e-05 15 1 KSP Residual norm 1.376439700414e-05 16 2 KSP Residual norm 4.735862478488e-06 17 3 KSP Residual norm 1.441618472811e-06 18 4 KSP Residual norm 5.469745765483e-07 19 5 KSP Residual norm 9.791769343634e-08 20 6 KSP Residual norm 3.666388214924e-08 21 7 KSP Residual norm 1.110122757449e-08 22 8 KSP Residual norm 2.336948935104e-09 23 9 KSP Residual norm 4.378689442660e-10 24 2 SNES Function norm 2.503925085367e-10 25 0 KSP Residual norm 4.377201912341e-10 26 1 KSP Residual norm 1.301710740308e-10 27 2 KSP Residual norm 4.911627444716e-11 28 3 KSP Residual norm 1.629334185679e-11 29 4 KSP Residual norm 3.966572220621e-12 30 5 KSP Residual norm 1.201091398418e-12 31 6 KSP Residual norm 2.399034074753e-13 32 7 KSP Residual norm 5.152830599460e-14 33 8 KSP Residual norm 1.728793265661e-14 34 9 KSP Residual norm 4.944662929385e-15 35 10 KSP Residual norm 1.518465265686e-15 36 3 SNES Function norm 1.014356640724e-14 37SNES Object: 4 MPI processes 38 type: newtonls 39 maximum iterations=50, maximum function evaluations=10000 40 tolerances: relative=1e-08, absolute=1e-50, solution=1e-08 41 total number of linear solver iterations=28 42 total number of function evaluations=4 43 norm schedule ALWAYS 44 Jacobian is built using colored finite differences on a DMDA 45 SNESLineSearch Object: 4 MPI processes 46 type: bt 47 interpolation: cubic 48 alpha=1.000000e-04 49 maxstep=1.000000e+08, minlambda=1.000000e-12 50 tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08 51 maximum iterations=40 52 KSP Object: 4 MPI processes 53 type: gmres 54 restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement 55 happy breakdown tolerance 1e-30 56 maximum iterations=10000, initial guess is zero 57 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 58 left preconditioning 59 using PRECONDITIONED norm type for convergence test 60 PC Object: 4 MPI processes 61 type: hypre 62 HYPRE BoomerAMG preconditioning 63 Cycle type V 64 Maximum number of levels 25 65 Maximum number of iterations PER hypre call 1 66 Convergence tolerance PER hypre call 0. 67 Threshold for strong coupling 0.25 68 Interpolation truncation factor 0. 69 Interpolation: max elements per row 0 70 Number of levels of aggressive coarsening 0 71 Number of paths for aggressive coarsening 1 72 Maximum row sums 0.9 73 Sweeps down 1 74 Sweeps up 1 75 Sweeps on coarse 1 76 Relax down symmetric-SOR/Jacobi 77 Relax up symmetric-SOR/Jacobi 78 Relax on coarse Gaussian-elimination 79 Relax weight (all) 1. 80 Outer relax weight (all) 1. 81 Using CF-relaxation 82 Not using more complex smoothers. 83 Measure type local 84 Coarsen type Falgout 85 Interpolation type classical 86 linear system matrix = precond matrix: 87 Mat Object: 4 MPI processes 88 type: mpiaij 89 rows=37636, cols=37636, bs=4 90 total: nonzeros=746512, allocated nonzeros=746512 91 total number of mallocs used during MatSetValues calls=0 92Number of SNES iterations = 3 93