1lid velocity = 0.00591716, prandtl # = 1., grashof # = 1. 2 0 SNES Function norm 7.886953101160e-02 3 0 KSP Residual norm 2.548442517773e-01 4 1 KSP Residual norm 6.657953043844e-02 5 2 KSP Residual norm 3.970328307456e-02 6 3 KSP Residual norm 2.153356244113e-02 7 4 KSP Residual norm 1.028395497706e-02 8 5 KSP Residual norm 5.254151728837e-03 9 6 KSP Residual norm 2.786069676341e-03 10 7 KSP Residual norm 1.514209128710e-03 11 8 KSP Residual norm 6.451025748057e-04 12 9 KSP Residual norm 2.202514757178e-04 13 10 KSP Residual norm 7.120912928545e-05 14 11 KSP Residual norm 4.856498175827e-05 15 12 KSP Residual norm 4.178241309940e-05 16 13 KSP Residual norm 2.690010116634e-05 17 14 KSP Residual norm 8.597870018211e-06 18 15 KSP Residual norm 3.448230828347e-06 19 16 KSP Residual norm 1.905679944706e-06 20 1 SNES Function norm 7.523380280728e-06 21 0 KSP Residual norm 9.372752996499e-06 22 1 KSP Residual norm 3.889244985848e-06 23 2 KSP Residual norm 2.576633189913e-06 24 3 KSP Residual norm 1.640824714253e-06 25 4 KSP Residual norm 8.121444685440e-07 26 5 KSP Residual norm 6.025556127933e-07 27 6 KSP Residual norm 4.341981202218e-07 28 7 KSP Residual norm 2.382937129969e-07 29 8 KSP Residual norm 1.217484948142e-07 30 9 KSP Residual norm 6.485014544191e-08 31 10 KSP Residual norm 3.660184387648e-08 32 11 KSP Residual norm 2.124938471781e-08 33 12 KSP Residual norm 1.272067754225e-08 34 13 KSP Residual norm 8.718327356060e-09 35 14 KSP Residual norm 4.145891961650e-09 36 15 KSP Residual norm 2.035221259744e-09 37 16 KSP Residual norm 1.062365611127e-09 38 17 KSP Residual norm 5.546884137188e-10 39 18 KSP Residual norm 3.065539205269e-10 40 19 KSP Residual norm 1.523306828643e-10 41 20 KSP Residual norm 7.837972635953e-11 42 2 SNES Function norm 9.295813420500e-11 43SNES Object: 2 MPI processes 44 type: newtonls 45 maximum iterations=50, maximum function evaluations=10000 46 tolerances: relative=1e-08, absolute=1e-50, solution=1e-08 47 total number of linear solver iterations=36 48 total number of function evaluations=3 49 norm schedule ALWAYS 50 Jacobian is built using colored finite differences on a DMDA 51 SNESLineSearch Object: 2 MPI processes 52 type: bt 53 interpolation: cubic 54 alpha=1.000000e-04 55 maxlambda=1.000000e+00, minlambda=1.000000e-12 56 tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08 57 maximum iterations=40 58 KSP Object: 2 MPI processes 59 type: gmres 60 restart=30, using classical (unmodified) Gram-Schmidt orthogonalization with no iterative refinement 61 happy breakdown tolerance=1e-30 62 maximum iterations=10000, initial guess is zero 63 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 64 left preconditioning 65 using PRECONDITIONED norm type for convergence test 66 PC Object: 2 MPI processes 67 type: hypre 68 HYPRE Euclid preconditioning 69 default factorization levels 70 drop tolerance 0. 71 use Block-Jacobi? 1 72 linear system matrix, which is also used to construct the preconditioner: 73 Mat Object: 2 MPI processes 74 type: mpiaij 75 rows=676, cols=676, bs=4 76 total: nonzeros=12688, allocated nonzeros=12688 77 total number of mallocs used during MatSetValues calls=0 78Number of SNES iterations = 2 79