1*c4762a1bSJed Brownlid velocity = 0.0625, prandtl # = 1., grashof # = 1. 2*c4762a1bSJed Brown 0 SNES Function norm 0.239155 3*c4762a1bSJed Brown 0 KSP Residual norm 0.0802764 4*c4762a1bSJed Brown 1 KSP Residual norm 0.0249277 5*c4762a1bSJed Brown 2 KSP Residual norm 0.0117306 6*c4762a1bSJed Brown 3 KSP Residual norm 0.00526274 7*c4762a1bSJed Brown 4 KSP Residual norm 0.00463185 8*c4762a1bSJed Brown 5 KSP Residual norm 0.00306201 9*c4762a1bSJed Brown 6 KSP Residual norm 0.0020143 10*c4762a1bSJed Brown 7 KSP Residual norm 0.00156512 11*c4762a1bSJed Brown 8 KSP Residual norm 0.0012814 12*c4762a1bSJed Brown 9 KSP Residual norm 0.00109837 13*c4762a1bSJed Brown 10 KSP Residual norm 0.000748519 14*c4762a1bSJed Brown 11 KSP Residual norm 0.000592453 15*c4762a1bSJed Brown 12 KSP Residual norm 0.000448783 16*c4762a1bSJed Brown 13 KSP Residual norm 0.000378752 17*c4762a1bSJed Brown 14 KSP Residual norm 0.000264337 18*c4762a1bSJed Brown 15 KSP Residual norm 0.000173765 19*c4762a1bSJed Brown 16 KSP Residual norm 0.000111263 20*c4762a1bSJed Brown 17 KSP Residual norm 6.5666e-05 21*c4762a1bSJed Brown 18 KSP Residual norm 1.75064e-05 22*c4762a1bSJed Brown 19 KSP Residual norm 1.60451e-05 23*c4762a1bSJed Brown 20 KSP Residual norm 9.20169e-06 24*c4762a1bSJed Brown 21 KSP Residual norm 1.08239e-06 25*c4762a1bSJed Brown 22 KSP Residual norm 8.45334e-07 26*c4762a1bSJed Brown 23 KSP Residual norm 3.62484e-07 27*c4762a1bSJed Brown 1 SNES Function norm 6.83886e-05 28*c4762a1bSJed Brown 0 KSP Residual norm 1.34538e-05 29*c4762a1bSJed Brown 1 KSP Residual norm 3.5938e-06 30*c4762a1bSJed Brown 2 KSP Residual norm 1.43034e-06 31*c4762a1bSJed Brown 3 KSP Residual norm 3.96202e-07 32*c4762a1bSJed Brown 4 KSP Residual norm 3.10187e-07 33*c4762a1bSJed Brown 5 KSP Residual norm 2.18322e-07 34*c4762a1bSJed Brown 6 KSP Residual norm 1.90422e-07 35*c4762a1bSJed Brown 7 KSP Residual norm 1.33363e-07 36*c4762a1bSJed Brown 8 KSP Residual norm 9.79339e-08 37*c4762a1bSJed Brown 9 KSP Residual norm 8.35383e-08 38*c4762a1bSJed Brown 10 KSP Residual norm 7.09248e-08 39*c4762a1bSJed Brown 11 KSP Residual norm 5.69143e-08 40*c4762a1bSJed Brown 12 KSP Residual norm 3.19231e-08 41*c4762a1bSJed Brown 13 KSP Residual norm 2.0429e-08 42*c4762a1bSJed Brown 14 KSP Residual norm 1.73693e-08 43*c4762a1bSJed Brown 15 KSP Residual norm 8.73233e-09 44*c4762a1bSJed Brown 16 KSP Residual norm 5.44314e-09 45*c4762a1bSJed Brown 17 KSP Residual norm 4.75858e-09 46*c4762a1bSJed Brown 18 KSP Residual norm 3.18157e-09 47*c4762a1bSJed Brown 19 KSP Residual norm 8.028e-10 48*c4762a1bSJed Brown 20 KSP Residual norm 7.187e-10 49*c4762a1bSJed Brown 21 KSP Residual norm 2.688e-10 50*c4762a1bSJed Brown 22 KSP Residual norm 6.997e-11 51*c4762a1bSJed Brown 2 SNES Function norm 1.22235e-09 52*c4762a1bSJed BrownSNES Object: 2 MPI processes 53*c4762a1bSJed Brown type: newtonls 54*c4762a1bSJed Brown maximum iterations=50, maximum function evaluations=10000 55*c4762a1bSJed Brown tolerances: relative=1e-08, absolute=1e-50, solution=1e-08 56*c4762a1bSJed Brown total number of linear solver iterations=45 57*c4762a1bSJed Brown total number of function evaluations=3 58*c4762a1bSJed Brown norm schedule ALWAYS 59*c4762a1bSJed Brown Jacobian is built using colored finite differences on a DMDA 60*c4762a1bSJed Brown SNESLineSearch Object: 2 MPI processes 61*c4762a1bSJed Brown type: bt 62*c4762a1bSJed Brown interpolation: cubic 63*c4762a1bSJed Brown alpha=1.000000e-04 64*c4762a1bSJed Brown maxstep=1.000000e+08, minlambda=1.000000e-12 65*c4762a1bSJed Brown tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08 66*c4762a1bSJed Brown maximum iterations=40 67*c4762a1bSJed Brown KSP Object: 2 MPI processes 68*c4762a1bSJed Brown type: gmres 69*c4762a1bSJed Brown restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement 70*c4762a1bSJed Brown happy breakdown tolerance 1e-30 71*c4762a1bSJed Brown maximum iterations=10000, initial guess is zero 72*c4762a1bSJed Brown tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 73*c4762a1bSJed Brown left preconditioning 74*c4762a1bSJed Brown using PRECONDITIONED norm type for convergence test 75*c4762a1bSJed Brown PC Object: 2 MPI processes 76*c4762a1bSJed Brown type: kaczmarz 77*c4762a1bSJed Brown lambda = 1. 78*c4762a1bSJed Brown linear system matrix = precond matrix: 79*c4762a1bSJed Brown Mat Object: 2 MPI processes 80*c4762a1bSJed Brown type: mpiaij 81*c4762a1bSJed Brown rows=64, cols=64, bs=4 82*c4762a1bSJed Brown total: nonzeros=1024, allocated nonzeros=1024 83*c4762a1bSJed Brown total number of mallocs used during MatSetValues calls=0 84*c4762a1bSJed BrownNumber of SNES iterations = 2 85