1lid velocity = 0.000106281, prandtl # = 1., grashof # = 1. 2 0 SNES Function norm 1.036007954337e-02 3 0 KSP Residual norm 3.529801575702e+00 4 1 KSP Residual norm 9.549227308964e-01 5 2 KSP Residual norm 1.833989322891e-01 6 3 KSP Residual norm 3.207579404040e-02 7 4 KSP Residual norm 1.205175734836e-02 8 5 KSP Residual norm 3.633439510018e-03 9 6 KSP Residual norm 7.859509715404e-04 10 7 KSP Residual norm 1.906869917013e-04 11 8 KSP Residual norm 3.576752748010e-05 12 9 KSP Residual norm 7.330442895769e-06 13 1 SNES Function norm 3.201130549650e-06 14 0 KSP Residual norm 4.427959370819e-05 15 1 KSP Residual norm 1.380195430340e-05 16 2 KSP Residual norm 4.715532215690e-06 17 3 KSP Residual norm 1.474145038612e-06 18 4 KSP Residual norm 5.348109874116e-07 19 5 KSP Residual norm 1.044694791331e-07 20 6 KSP Residual norm 3.714990014432e-08 21 7 KSP Residual norm 1.173691435064e-08 22 8 KSP Residual norm 2.292612822767e-09 23 9 KSP Residual norm 4.381684670967e-10 24 2 SNES Function norm 2.738200356364e-10 25 0 KSP Residual norm 4.387850884335e-10 26 1 KSP Residual norm 1.635189378258e-10 27 2 KSP Residual norm 5.331635602024e-11 28 3 KSP Residual norm 1.598499949563e-11 29 4 KSP Residual norm 4.613542888168e-12 30 5 KSP Residual norm 1.382342228644e-12 31 6 KSP Residual norm 2.663644370837e-13 32 7 KSP Residual norm 5.369087577325e-14 33 8 KSP Residual norm 1.326647134287e-14 34 9 KSP Residual norm 3.897550408280e-15 35 3 SNES Function norm 1.080498368554e-14 36SNES Object: 4 MPI processes 37 type: newtonls 38 maximum iterations=50, maximum function evaluations=10000 39 tolerances: relative=1e-08, absolute=1e-50, solution=1e-08 40 total number of linear solver iterations=27 41 total number of function evaluations=4 42 norm schedule ALWAYS 43 Jacobian is built using colored finite differences on a DMDA 44 SNESLineSearch Object: 4 MPI processes 45 type: bt 46 interpolation: cubic 47 alpha=1.000000e-04 48 maxstep=1.000000e+08, minlambda=1.000000e-12 49 tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08 50 maximum iterations=40 51 KSP Object: 4 MPI processes 52 type: gmres 53 restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement 54 happy breakdown tolerance 1e-30 55 maximum iterations=10000, initial guess is zero 56 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 57 left preconditioning 58 using PRECONDITIONED norm type for convergence test 59 PC Object: 4 MPI processes 60 type: hypre 61 HYPRE BoomerAMG preconditioning 62 Cycle type V 63 Maximum number of levels 25 64 Maximum number of iterations PER hypre call 1 65 Convergence tolerance PER hypre call 0. 66 Threshold for strong coupling 0.25 67 Interpolation truncation factor 0. 68 Interpolation: max elements per row 0 69 Number of levels of aggressive coarsening 0 70 Number of paths for aggressive coarsening 1 71 Maximum row sums 0.9 72 Sweeps down 1 73 Sweeps up 1 74 Sweeps on coarse 1 75 Relax down symmetric-SOR/Jacobi 76 Relax up symmetric-SOR/Jacobi 77 Relax on coarse Gaussian-elimination 78 Relax weight (all) 1. 79 Outer relax weight (all) 1. 80 Using CF-relaxation 81 Not using more complex smoothers. 82 Measure type local 83 Coarsen type Falgout 84 Interpolation type classical 85 linear system matrix = precond matrix: 86 Mat Object: 4 MPI processes 87 type: mpiaij 88 rows=37636, cols=37636, bs=4 89 total: nonzeros=746512, allocated nonzeros=746512 90 total number of mallocs used during MatSetValues calls=0 91Number of SNES iterations = 3 92