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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- Optimization schemes on manifolds for structured matrices with fixed eigenvalues, Computational
Optimization and Applications, to appear, DOI : 10.1007/s10589-024-00630-3 (2025)
(with Jean Paul Chehab and Harry Oviedo).
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- SLiSeS: Subsampled Line Search Spectral Gradient Method for Finite Sums, Optimization
Methods and Software, to appear (2025), (with S. Bellavia, N. Krejic, and N. Krklec Jerinkic).
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-An assessment of numerical and geometrical quality of bases on surface fitting on Powell-
Sabin triangulations, Mathematics and Computers in Simulation, Vol. 223, 642-653, Doi:
10.1016/j.matcom.2024.04.039 (2024), (with M. A. Fortes, M. L. Rodrguez, and A. M.
Sajo-Castelli).
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- A hybrid direct search and projected simplex gradient method for convex constrained minimization,
Optimization Methods and Software, Vol 39(3), 534-568, Doi: 10.1080/10556788.2023.2263618 (2024),
(with A. L. Custódio and E. Krulikovski).
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- Derivative-free separable quadratic modeling and cubic regularization for unconstrained
optimization, 4OR Q. J. Oper. Res., Vol. 22, 121-144, Doi: 10.1007/s10288-023-00541-9 (2024)
(with A. L. Custódio and R. Garmanjani).
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- An augmented Lagrangian approach for cardinality constrained minimization applied to variable
selection problems, Applied Numerical Mathematics, Doi: 10.1016/j.apnum.2023.12.006 (2023),
(with N. Krejic and E. Krulikovski).
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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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