1 2---- Minimum Surface Area Problem ----- 3mx:4, my:4 4 0 TAO, Function value: 0.210376, Residual: 0.403597 5 1 TAO, Function value: 0.0110611, Residual: 0.019795 6 2 TAO, Function value: 4.46413e-05, Residual: 8.72658e-05 7Tao Object: 1 MPI processes 8 type: ssfls 9 TaoLineSearch Object: 1 MPI processes 10 type: armijo 11 Armijo linesearch (projected) : alpha=1. beta=0.5 sigma=0.0001 memsize=1 12 maximum function evaluations=30 13 tolerances: ftol=0.0001, rtol=1e-05, gtol=0.9 14 total number of function evaluations=1 15 total number of gradient evaluations=1 16 total number of function/gradient evaluations=0 17 using variable bounds 18 Termination reason: 1 19 KSP Object: 1 MPI processes 20 type: gmres 21 restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement 22 happy breakdown tolerance 1e-30 23 maximum iterations=10000, initial guess is zero 24 tolerances: relative=1e-05, absolute=1e-25, divergence=10000. 25 left preconditioning 26 using PRECONDITIONED norm type for convergence test 27 PC Object: 1 MPI processes 28 type: ilu 29 out-of-place factorization 30 0 levels of fill 31 tolerance for zero pivot 1.19209e-05 32 matrix ordering: natural 33 factor fill ratio given 1., needed 1. 34 Factored matrix follows: 35 Mat Object: 1 MPI processes 36 type: seqaij 37 rows=16, cols=16 38 package used to perform factorization: petsc 39 total: nonzeros=82, allocated nonzeros=82 40 not using I-node routines 41 linear system matrix = precond matrix: 42 Mat Object: 1 MPI processes 43 type: seqaij 44 rows=16, cols=16 45 total: nonzeros=82, allocated nonzeros=112 46 total number of mallocs used during MatSetValues calls=0 47 not using I-node routines 48 total KSP iterations: 9 49 Active Set subset type: subvec 50 convergence tolerances: gatol=1e-06, steptol=0., gttol=0. 51 Residual in Function/Gradient:=8.72658e-05 52 convergence tolerances: function minimum=0.0001 53 Objective value=4.46413e-05 54 total number of iterations=2, (max: 2000) 55 total number of constraint function evaluations=5 56 total number of Jacobian evaluations=3 57 Solution converged: Minf -- f < fmin 58