1lid velocity = 0.00591716, prandtl # = 1., grashof # = 1. 2 0 KSP Residual norm 0.22318 3 1 KSP Residual norm 0.0399771 4 2 KSP Residual norm 0.0263924 5 3 KSP Residual norm 0.0415116 6 4 KSP Residual norm 0.00334741 7 5 KSP Residual norm 0.00188077 8 6 KSP Residual norm 0.000591979 9 7 KSP Residual norm 0.000847763 10 8 KSP Residual norm 9.09501e-05 11 9 KSP Residual norm 4.07915e-05 12 10 KSP Residual norm 1.45997e-05 13 11 KSP Residual norm 2.32689e-05 14 12 KSP Residual norm 3.48513e-06 15 13 KSP Residual norm 4.00787e-06 16 14 KSP Residual norm 2.49517e-07 17 0 KSP Residual norm 6.24163e-06 18 1 KSP Residual norm 1.89562e-06 19 2 KSP Residual norm 9.1461e-07 20 3 KSP Residual norm 4.2732e-07 21 4 KSP Residual norm 4.10552e-07 22 5 KSP Residual norm 7.36292e-08 23 6 KSP Residual norm 4.22272e-08 24 7 KSP Residual norm 2.60372e-08 25 8 KSP Residual norm 1.40502e-08 26 9 KSP Residual norm 8.34563e-09 27 10 KSP Residual norm 9.87196e-09 28 11 KSP Residual norm 1.52953e-09 29 12 KSP Residual norm 2.726e-10 30 13 KSP Residual norm 2.133e-10 31 14 KSP Residual norm 9.213e-11 32 15 KSP Residual norm 7.141e-11 33 16 KSP Residual norm 3.286e-11 34SNES Object: 2 MPI processes 35 type: newtonls 36 maximum iterations=50, maximum function evaluations=10000 37 tolerances: relative=1e-08, absolute=1e-50, solution=1e-08 38 total number of linear solver iterations=30 39 total number of function evaluations=3 40 norm schedule ALWAYS 41 Jacobian is built using colored finite differences on a DMDA 42 SNESLineSearch Object: 2 MPI processes 43 type: bt 44 interpolation: cubic 45 alpha=1.000000e-04 46 maxstep=1.000000e+08, minlambda=1.000000e-12 47 tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08 48 maximum iterations=40 49 KSP Object: 2 MPI processes 50 type: ibcgs 51 maximum iterations=10000, initial guess is zero 52 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 53 left preconditioning 54 using PRECONDITIONED norm type for convergence test 55 PC Object: 2 MPI processes 56 type: bjacobi 57 number of blocks = 2 58 Local solve is same for all blocks, in the following KSP and PC objects: 59 KSP Object: (sub_) 1 MPI processes 60 type: preonly 61 maximum iterations=10000, initial guess is zero 62 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 63 left preconditioning 64 using NONE norm type for convergence test 65 PC Object: (sub_) 1 MPI processes 66 type: ilu 67 out-of-place factorization 68 0 levels of fill 69 tolerance for zero pivot 2.22045e-14 70 matrix ordering: natural 71 factor fill ratio given 1., needed 1. 72 Factored matrix follows: 73 Mat Object: 1 MPI processes 74 type: seqaij 75 rows=364, cols=364, bs=4 76 package used to perform factorization: petsc 77 total: nonzeros=6640, allocated nonzeros=6640 78 total number of mallocs used during MatSetValues calls=0 79 using I-node routines: found 91 nodes, limit used is 5 80 linear system matrix = precond matrix: 81 Mat Object: 1 MPI processes 82 type: seqaij 83 rows=364, cols=364, bs=4 84 total: nonzeros=6640, allocated nonzeros=6640 85 total number of mallocs used during MatSetValues calls=0 86 using I-node routines: found 91 nodes, limit used is 5 87 linear system matrix = precond matrix: 88 Mat Object: 2 MPI processes 89 type: mpiaij 90 rows=676, cols=676, bs=4 91 total: nonzeros=12688, allocated nonzeros=12688 92 total number of mallocs used during MatSetValues calls=0 93Number of SNES iterations = 2 94