Convergence of Trust-Region Methods Based on Probabilistic Models von Bandeira, A S, Scheinberg, K, Vicente, L N

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Direct Multisearch for Multiobjective Optimization von Custódio, A. L., Madeira, J. F. A., Vaz, A. I. F., Vicente, L. N.

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Analysis of direct searches for discontinuous functions von Vicente, L. N., Custódio, A. L.

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Incorporating minimum Frobenius norm models in direct search von Custódio, A. L., Rocha, H., Vicente, L. N.

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Computation of sparse low degree interpolating polynomials and their application to derivative-free optimization von Bandeira, A. S., Scheinberg, K., Vicente, L. N.

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Worst case complexity of direct search von Vicente, L.N.

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Multicriteria approach to bilevel optimization von FLIEGE, J, VICENTE, L. N

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Worst case complexity of direct search under convexity von Dodangeh, M., Vicente, L. N.

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Direct Search Based on Probabilistic Descent von Gratton, S., Royer, C. W., Vicente, L. N., Zhang, Z.

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Full-low evaluation methods for bound and linearly constrained derivative-free optimization von Royer, C. W., Sohab, O., Vicente, L. N.

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On the optimal object orientation in additive manufacturing von Pereira, S., Vaz, A. I. F., Vicente, L. N.

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A decoupled first/second-order steps technique for nonconvex nonlinear unconstrained optimization with improved complexity bounds von Gratton, S., Royer, C. W., Vicente, L. N.

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Direct search based on probabilistic feasible descent for bound and linearly constrained problems von Gratton, S., Royer, C. W., Vicente, L. N., Zhang, Z.

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A Merit Function Approach for Direct Search von Gratton, S., Vicente, L. N.

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Globally convergent DC trust-region methods von Le Thi, Hoai An, Huynh, Van Ngai, Dinh, Tao Pham, Vaz, A. Ismael F., Vicente, L. N.

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Using Sampling and Simplex Derivatives in Pattern Search Methods von Custódio, A. L., Vicente, L. N.

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Globally convergent evolution strategies von Diouane, Y., Gratton, S., Vicente, L. N.

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Optimal 3D printing of complex objects in a 5–axis printer von Ramos, B., Pinho, D., Martins, D., Vaz, A. I. F., Vicente, L. N.

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Globally convergent evolution strategies for constrained optimization von Diouane, Y., Gratton, S., Vicente, L. N.

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The stochastic multi-gradient algorithm for multi-objective optimization and its application to supervised machine learning von Liu, S., Vicente, L. N.

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