1lid velocity = 0.00591716, prandtl # = 1., grashof # = 1. 2 0 SNES Function norm 7.886953101160e-02 3 0 KSP Residual norm 1.746381225827e-01 4 1 KSP Residual norm 7.004704630590e-02 5 2 KSP Residual norm 4.385856078301e-02 6 3 KSP Residual norm 2.991734996742e-02 7 4 KSP Residual norm 1.541826196440e-02 8 5 KSP Residual norm 6.602560554899e-03 9 6 KSP Residual norm 2.694428161302e-03 10 7 KSP Residual norm 1.622977097479e-03 11 8 KSP Residual norm 8.474224154098e-04 12 9 KSP Residual norm 3.360585541731e-04 13 10 KSP Residual norm 1.753532737046e-04 14 11 KSP Residual norm 7.356382477417e-05 15 12 KSP Residual norm 3.555027783012e-05 16 13 KSP Residual norm 2.522543733667e-05 17 14 KSP Residual norm 1.650061977888e-05 18 15 KSP Residual norm 1.317943743207e-05 19 16 KSP Residual norm 5.987224752271e-06 20 17 KSP Residual norm 2.746393568458e-06 21 18 KSP Residual norm 1.161746985368e-06 22 1 SNES Function norm 7.905777117971e-06 23 0 KSP Residual norm 7.310793191220e-06 24 1 KSP Residual norm 4.274292904265e-06 25 2 KSP Residual norm 2.554221716108e-06 26 3 KSP Residual norm 1.805162190427e-06 27 4 KSP Residual norm 1.302059663179e-06 28 5 KSP Residual norm 6.900263715957e-07 29 6 KSP Residual norm 3.865286574893e-07 30 7 KSP Residual norm 2.011026678421e-07 31 8 KSP Residual norm 1.279189993428e-07 32 9 KSP Residual norm 7.486230255819e-08 33 10 KSP Residual norm 4.486174933669e-08 34 11 KSP Residual norm 2.718057584265e-08 35 12 KSP Residual norm 1.522342632160e-08 36 13 KSP Residual norm 1.092746533309e-08 37 14 KSP Residual norm 4.600296733527e-09 38 15 KSP Residual norm 2.138995973823e-09 39 16 KSP Residual norm 1.188059540268e-09 40 17 KSP Residual norm 9.983011502733e-10 41 18 KSP Residual norm 8.037619089070e-10 42 19 KSP Residual norm 4.531479206633e-10 43 20 KSP Residual norm 2.327066112499e-10 44 21 KSP Residual norm 1.466975986836e-10 45 22 KSP Residual norm 1.046387755681e-10 46 23 KSP Residual norm 4.595843286107e-11 47 2 SNES Function norm 1.464393747580e-10 48SNES Object: 1 MPI process 49 type: newtonls 50 maximum iterations=50, maximum function evaluations=10000 51 tolerances: relative=1e-08, absolute=1e-50, solution=1e-08 52 total number of linear solver iterations=41 53 total number of function evaluations=3 54 norm schedule ALWAYS 55 Jacobian is built using colored finite differences on a DMDA 56 SNESLineSearch Object: 1 MPI process 57 type: bt 58 interpolation: cubic 59 alpha=1.000000e-04 60 maxlambda=1.000000e+00, minlambda=1.000000e-12 61 tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08 62 maximum iterations=40 63 KSP Object: 1 MPI process 64 type: gmres 65 restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement 66 happy breakdown tolerance 1e-30 67 maximum iterations=10000, initial guess is zero 68 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 69 left preconditioning 70 using PRECONDITIONED norm type for convergence test 71 PC Object: 1 MPI process 72 type: hypre 73 HYPRE Euclid preconditioning 74 default factorization levels 75 drop tolerance 0.1 76 use Block-Jacobi? 0 77 linear system matrix = precond matrix: 78 Mat Object: 1 MPI process 79 type: seqaij 80 rows=676, cols=676, bs=4 81 total: nonzeros=12688, allocated nonzeros=12688 82 total number of mallocs used during MatSetValues calls=0 83 using I-node routines: found 169 nodes, limit used is 5 84Number of SNES iterations = 2 85