Research output per year
Research output per year
Research output
- 16 Article
- 16 results
Search results
-
2024
Derivative-free separable quadratic modeling and cubic regularization for unconstrained optimization
Custódio, A. L., Garmanjani, R. & Raydan, M., Mar 2024, In: 4OR. 22, p. 121–144 24 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile38 Downloads (Pure) -
Optimization schemes on manifolds for structured matrices with fixed eigenvalues
Chehab, J. P., Oviedo, H. & Raydan, M., 2 Dec 2024, (Accepted/In press) In: Computational Optimization And Applications. 90, p. 1-26 26 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile13 Downloads (Pure) -
SLiSeS: subsampled line search spectral gradient method for finite sums
Bellavia, S., Krejić, N., Krklec Jerinkić, N. & Raydan, M., 9 Dec 2024, (Accepted/In press) In: Optimization Methods and Software. p. 1-26 26 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)5 Downloads (Pure) -
2023
A hybrid direct search and projected simplex gradient method for convex constrained minimization
Custódio, A. L., Krulikovski, E. H. M. & Raydan, M., 15 Nov 2023, (E-pub ahead of print) In: Optimization Methods and Software. 35 p.Research output: Contribution to journal › Article › peer-review
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A Low-Cost Alternating Projection Approach for a Continuous Formulation of Convex and Cardinality Constrained Optimization
Krejić, N., Krulikovski, E. H. M. & Raydan, M., Dec 2023, In: SN Operations Research Forum. 4, 4, 24 p., 73.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)17 Downloads (Pure) -
An augmented Lagrangian approach for cardinality constrained minimization applied to variable selection problems
Krejić, N., Krulikovski, E. H. M. & Raydan, M., 2023, (Accepted/In press) In: Applied Numerical Mathematics. 13 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
The max-out min-in problem: A tool for data analysis
Cerdeira, J. O., Martins, M. J. & Raydan, M., Jun 2023, In: Computers and Operations Research. 154, 11 p., 106218.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)42 Downloads (Pure) -
2022
A family of optimal weighted conjugate-gradient-type methods for strictly convex quadratic minimization
Oviedo, H., Andreani, R. & Raydan, M., Jul 2022, In: Numerical Algorithms. 90, 3, p. 1225-1252 28 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Citations (Scopus)6 Downloads (Pure) -
An extended delayed weighted gradient algorithm for solving strongly convex optimization problems
Andreani, R., Oviedo, H., Raydan, M. & Secchin, L. D., 15 Dec 2022, In: Journal of Computational and Applied Mathematics. 416, 19 p., 114525.Research output: Contribution to journal › Article › peer-review
2 Citations (Scopus) -
Using first-order information in direct multisearch for multiobjective optimization
Andreani, R., Custódio, A. L. & Raydan, M., 2022, In: Optimization Methods and Software. 37, 6, p. 2135–2156 22 p.Research output: Contribution to journal › Article › peer-review
4 Citations (Scopus) -
2021
Properties of the delayed weighted gradient method
Andreani, R. & Raydan, M., Jan 2021, In: Computational Optimization And Applications. 78, 1, p. 167-180 14 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Citations (Scopus)31 Downloads (Pure) -
Relationship between quality of basis for surface approximation and the effect of applying preconditioning strategies to their resulting linear systems
Fortes, M. A., Raydan, M. & Sajo-Castelli, A. M., Mar 2021, In: Computational and Applied Mathematics. 40, 2, 41.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
2020
A metaheuristic penalty approach for the starting point in nonlinear programming
Penas, D. R. & Raydan, M., 1 Mar 2020, In: RAIRO - Operations Research. 54, 2, p. 451-469 19 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile24 Downloads (Pure) -
Geometrical inverse matrix approximation for least-squares problems and acceleration strategies
Chehab, J. P. & Raydan, M., 2020, In: Numerical Algorithms. 85, p. 1213-1231Research output: Contribution to journal › Article › peer-review
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Large-scale unconstrained optimization using separable cubic modeling and matrix-free subspace minimization
Brás, C. P., Martínez, J. M. & Raydan, M., 1 Jan 2020, In: Computational Optimization And Applications. 75, 1Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Citations (Scopus)39 Downloads (Pure) -
2019
Nonlinear least-squares approach for large-scale algebraic Riccati equations
Jbilou, K. & Raydan, M., 1 Jan 2019, In: Siam Journal On Scientific Computing. 41, 4, p. A2193-A2211Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus)