1lid velocity = 0.0625, prandtl # = 1., grashof # = 1. 2 0 SNES Function norm 0.239155 3 0 KSP Residual norm 0.0802764 4 1 KSP Residual norm 0.0249277 5 2 KSP Residual norm 0.0117306 6 3 KSP Residual norm 0.00526274 7 4 KSP Residual norm 0.00463185 8 5 KSP Residual norm 0.00306201 9 6 KSP Residual norm 0.0020143 10 7 KSP Residual norm 0.00156512 11 8 KSP Residual norm 0.0012814 12 9 KSP Residual norm 0.00109837 13 10 KSP Residual norm 0.000748519 14 11 KSP Residual norm 0.000592453 15 12 KSP Residual norm 0.000448783 16 13 KSP Residual norm 0.000378752 17 14 KSP Residual norm 0.000264337 18 15 KSP Residual norm 0.000173765 19 16 KSP Residual norm 0.000111263 20 17 KSP Residual norm 6.5666e-05 21 18 KSP Residual norm 1.75064e-05 22 19 KSP Residual norm 1.60451e-05 23 20 KSP Residual norm 9.20169e-06 24 21 KSP Residual norm 1.08239e-06 25 22 KSP Residual norm 8.45334e-07 26 23 KSP Residual norm 3.62484e-07 27 1 SNES Function norm 6.83886e-05 28 0 KSP Residual norm 1.34538e-05 29 1 KSP Residual norm 3.5938e-06 30 2 KSP Residual norm 1.43034e-06 31 3 KSP Residual norm 3.96202e-07 32 4 KSP Residual norm 3.10187e-07 33 5 KSP Residual norm 2.18322e-07 34 6 KSP Residual norm 1.90422e-07 35 7 KSP Residual norm 1.33363e-07 36 8 KSP Residual norm 9.79339e-08 37 9 KSP Residual norm 8.35383e-08 38 10 KSP Residual norm 7.09248e-08 39 11 KSP Residual norm 5.69143e-08 40 12 KSP Residual norm 3.19231e-08 41 13 KSP Residual norm 2.0429e-08 42 14 KSP Residual norm 1.73693e-08 43 15 KSP Residual norm 8.73233e-09 44 16 KSP Residual norm 5.44314e-09 45 17 KSP Residual norm 4.75858e-09 46 18 KSP Residual norm 3.18157e-09 47 19 KSP Residual norm 8.028e-10 48 20 KSP Residual norm 7.187e-10 49 21 KSP Residual norm 2.688e-10 50 22 KSP Residual norm 6.997e-11 51 2 SNES Function norm 1.22235e-09 52SNES Object: 2 MPI processes 53 type: newtonls 54 maximum iterations=50, maximum function evaluations=10000 55 tolerances: relative=1e-08, absolute=1e-50, solution=1e-08 56 total number of linear solver iterations=45 57 total number of function evaluations=3 58 norm schedule ALWAYS 59 Jacobian is built using colored finite differences on a DMDA 60 SNESLineSearch Object: 2 MPI processes 61 type: bt 62 interpolation: cubic 63 alpha=1.000000e-04 64 maxstep=1.000000e+08, minlambda=1.000000e-12 65 tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08 66 maximum iterations=40 67 KSP Object: 2 MPI processes 68 type: gmres 69 restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement 70 happy breakdown tolerance 1e-30 71 maximum iterations=10000, initial guess is zero 72 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 73 left preconditioning 74 using PRECONDITIONED norm type for convergence test 75 PC Object: 2 MPI processes 76 type: kaczmarz 77 lambda = 1. 78 linear system matrix = precond matrix: 79 Mat Object: 2 MPI processes 80 type: mpiaij 81 rows=64, cols=64, bs=4 82 total: nonzeros=1024, allocated nonzeros=1024 83 total number of mallocs used during MatSetValues calls=0 84Number of SNES iterations = 2 85