Interesses Científicos
My research interests include Numerical Analysis and Continuous Optimization, with a special focus on the development of algorithms for large-scale computations. The motivation for my current algorithmic and theoretical research comes from applications in data analysis.
Publicações Representativas
Full list at -----> https://orcid.org/0000-0003-0417-7981
Most recent ones:
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- A hybrid direct search and projected simplex gradient method for convex constrained minimization,
Optimization Methods and Software, Doi: 10.1080/10556788.2023.2263618 (2023),
(with A. L. Custódio and E. Krulikovski).
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- A low-cost alternating projection approach for a continuous formulation of convex and cardinality
constrained optimization, Operations Research Forum,
Doi: 10.1007/s43069-023-00257-w (2023), (with N. Krejic and E. Krulikovski).
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- Derivative-free separable quadratic modeling and cubic regularization for unconstrained
optimization, 4OR Q. J. Oper. Res., Doi: 10.1007/s10288-023-00541-9 (2023)
(with A. L. Custódio and R. Garmanjani).
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- The Max-Out Min-In Problem: a Tool for Data Analysis, Computers and Operations Research,
Vol. 154, 106218, Doi: 10.1016/j.cor.2023.106218 (2023)
(with J. Orestes Cerdeira and M. João Martins).
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- An extended delayed weighted gradient algorithm for solving strongly convex nonquadratic
optimization problems, Journal of Computational and Applied Mathematics, Vol. 416,114525,
Doi: 10.1016/j.cam.2022.114525 (2022)
(with Roberto Andreani, Harry Oviedo and Leonardo Secchin).
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- Using first-order information in direct multisearch for multiobjective optimization,
Optimization Methods and Software, Vol. 37(6), 2135-2156,
Doi: 10.1080/10556788.2022.2060971 (2022)
(with R. Andreani and A. L. Custódio).
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- A family of optimal weighted conjugate-gradient-type methods for strictly convex quadratic
minimization, Numerical Algorithms, Vol. 90, 1225-1252,
Doi: 10.1007/s11075-021-01228-0 (2022)
(with Roberto Andreani and Harry Oviedo).