Sitemap

A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.

Pages

Posts

portfolio

publications

L. F. Prudente and D. R. Souza, Global convergence of a BFGS-type algorithm for nonconvex multiobjective optimization problems, Computational Optimization and Applications 88(3), pp. 719-757, 2024.

Published in Computational Optimization and Applications, 2024

Global convergence analysis of a BFGS-type algorithm for nonconvex multiobjective optimization.

Recommended citation: L. F. Prudente and D. R. Souza. (2024). "Global convergence of a BFGS-type algorithm for nonconvex multiobjective optimization problems." Computational Optimization and Applications 88(3), pp. 719-757.
Paper | Code | DOI

E. G. Birgin, A. Laurain, and D. R. Souza, Reconstruction of Voronoi diagrams in inverse potential problems, ESAIM: Control, Optimisation and Calculus of Variations 30, article number 85, 2024.

Published in ESAIM: Control, Optimisation and Calculus of Variations, 2024

Reconstruction of Voronoi diagrams in inverse potential problems.

Recommended citation: E. G. Birgin, A. Laurain, and D. R. Souza. (2024). "Reconstruction of Voronoi diagrams in inverse potential problems." ESAIM: Control, Optimisation and Calculus of Variations 30, article number 85.
Paper | Code | DOI

V. S. Amaral, P. B. Assuncao, and D. R. Souza, A Partially Derivative-Free Proximal Method for Composite Multiobjective Optimization in the Holder Setting, arXiv:2508.20071 [math.OC], 2026.

Published in arXiv, 2026

A partially derivative-free proximal method for composite multiobjective optimization in the Holder setting.

Recommended citation: V. S. Amaral, P. B. Assuncao, and D. R. Souza. (2026). "A Partially Derivative-Free Proximal Method for Composite Multiobjective Optimization in the Holder Setting." arXiv:2508.20071 [math.OC].
Paper | Code | DOI

talks

Stochastic Optimization Methods

Published:

We will address the fundamentals and recent advances in stochastic optimization methods, essential techniques for large-scale problems.

teaching