1lid velocity = 0.0625, prandtl # = 1., grashof # = 1. 2 0 SNES Function norm 2.391552133017e-01 3 0 KSP Residual norm 2.515333131411e-01 4 1 KSP Residual norm 1.396390175249e-02 5 2 KSP Residual norm 3.903932692033e-03 6 3 KSP Residual norm 7.056288033751e-04 7 4 KSP Residual norm 4.669631283998e-05 8 5 KSP Residual norm 5.322915676287e-06 9 6 KSP Residual norm 9.940062885412e-07 10 1 SNES Function norm 6.839858507068e-05 11 0 KSP Residual norm 2.243458836024e-05 12 1 KSP Residual norm 1.469665797093e-06 13 2 KSP Residual norm 2.107807911905e-07 14 3 KSP Residual norm 2.945467263227e-08 15 4 KSP Residual norm 5.695843492021e-09 16 5 KSP Residual norm 4.882870253526e-10 17 6 KSP Residual norm 4.483853760249e-11 18 2 SNES Function norm 8.557160032460e-11 19SNES Object: 1 MPI process 20 type: newtonls 21 maximum iterations=50, maximum function evaluations=10000 22 tolerances: relative=1e-08, absolute=1e-50, solution=1e-08 23 total number of linear solver iterations=12 24 total number of function evaluations=3 25 norm schedule ALWAYS 26 Jacobian is built using colored finite differences on a DMDA 27 SNESLineSearch Object: 1 MPI process 28 type: bt 29 interpolation: cubic 30 alpha=1.000000e-04 31 maxlambda=1.000000e+00, minlambda=1.000000e-12 32 tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08 33 maximum iterations=40 34 KSP Object: 1 MPI process 35 type: gmres 36 restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement 37 happy breakdown tolerance 1e-30 38 maximum iterations=10000, initial guess is zero 39 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 40 left preconditioning 41 using PRECONDITIONED norm type for convergence test 42 PC Object: 1 MPI process 43 type: ilu 44 out-of-place factorization 45 0 levels of fill 46 tolerance for zero pivot 2.22045e-14 47 matrix ordering: natural 48 factor fill ratio given 1., needed 1. 49 Factored matrix follows: 50 Mat Object: 1 MPI process 51 type: seqbaij 52 rows=64, cols=64, bs=4 53 package used to perform factorization: petsc 54 total: nonzeros=1024, allocated nonzeros=1024 55 block size is 4 56 linear system matrix = precond matrix: 57 Mat Object: 1 MPI process 58 type: seqbaij 59 rows=64, cols=64, bs=4 60 total: nonzeros=1024, allocated nonzeros=1024 61 total number of mallocs used during MatSetValues calls=0 62 block size is 4 63Number of SNES iterations = 2 64