1lid velocity = 0.00591716, prandtl # = 1., grashof # = 1. 2 0 KSP Residual norm 0.22318 3 3 KSP Residual norm 0.0397558 4 6 KSP Residual norm 0.000417387 5 9 KSP Residual norm 2.72144e-05 6 12 KSP Residual norm 2.60861e-06 7 15 KSP Residual norm 1.0556e-07 8 0 KSP Residual norm 6.21497e-06 9 3 KSP Residual norm 4.01807e-07 10 6 KSP Residual norm 3.02758e-08 11 9 KSP Residual norm 5.54048e-09 12 12 KSP Residual norm 1.540e-10 13 15 KSP Residual norm 2.084e-11 14SNES Object: 2 MPI processes 15 type: newtonls 16 maximum iterations=50, maximum function evaluations=10000 17 tolerances: relative=1e-08, absolute=1e-50, solution=1e-08 18 total number of linear solver iterations=30 19 total number of function evaluations=3 20 norm schedule ALWAYS 21 Jacobian is built using colored finite differences on a DMDA 22 SNESLineSearch Object: 2 MPI processes 23 type: bt 24 interpolation: cubic 25 alpha=1.000000e-04 26 maxstep=1.000000e+08, minlambda=1.000000e-12 27 tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08 28 maximum iterations=40 29 KSP Object: 2 MPI processes 30 type: bcgsl 31 Ell = 3 32 Delta = 0 33 maximum iterations=10000, initial guess is zero 34 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 35 left preconditioning 36 using PRECONDITIONED norm type for convergence test 37 PC Object: 2 MPI processes 38 type: bjacobi 39 number of blocks = 2 40 Local solve is same for all blocks, in the following KSP and PC objects: 41 KSP Object: (sub_) 1 MPI processes 42 type: preonly 43 maximum iterations=10000, initial guess is zero 44 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 45 left preconditioning 46 using NONE norm type for convergence test 47 PC Object: (sub_) 1 MPI processes 48 type: ilu 49 out-of-place factorization 50 0 levels of fill 51 tolerance for zero pivot 2.22045e-14 52 matrix ordering: natural 53 factor fill ratio given 1., needed 1. 54 Factored matrix follows: 55 Mat Object: 1 MPI processes 56 type: seqaij 57 rows=364, cols=364, bs=4 58 package used to perform factorization: petsc 59 total: nonzeros=6640, allocated nonzeros=6640 60 total number of mallocs used during MatSetValues calls=0 61 using I-node routines: found 91 nodes, limit used is 5 62 linear system matrix = precond matrix: 63 Mat Object: 1 MPI processes 64 type: seqaij 65 rows=364, cols=364, bs=4 66 total: nonzeros=6640, allocated nonzeros=6640 67 total number of mallocs used during MatSetValues calls=0 68 using I-node routines: found 91 nodes, limit used is 5 69 linear system matrix = precond matrix: 70 Mat Object: 2 MPI processes 71 type: mpiaij 72 rows=676, cols=676, bs=4 73 total: nonzeros=12688, allocated nonzeros=12688 74 total number of mallocs used during MatSetValues calls=0 75Number of SNES iterations = 2 76