Marcos Raydan - RankMe

49 papers Journal 48

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Eigenvector-based acceleration strategies for gradient-type methods. CoRR Jean-Paul Chehab, Gaspard Kemlin, Marcos Raydan, Yousef Saad
2025	J	`jnl`	An unsupervised tool for biomarker discovery and cancer subtyping applied to glioblastoma. BioData Min. Roberta Coletti, J. Orestes Cerdeira, Marcos Raydan, Marta B. Lopes
2025	J	`jnl`	Optimization schemes on manifolds for structured matrices with fixed eigenvalues. Comput. Optim. Appl. Jean-Paul Chehab, Harry Oviedo, Marcos Raydan
2024	J	`jnl`	A hybrid direct search and projected simplex gradient method for convex constrained minimization. Optim. Methods Softw. Ana Luísa Custódio, Evelin H. M. Krulikovski, Marcos Raydan
2024	J	`jnl`	An assessment of numerical and geometrical quality of bases on surface fitting on Powell-Sabin triangulations. Math. Comput. Simul. Miguel A. Fortes, Marcos Raydan, Miguel Luis Rodríguez, A. M. Sajo-Castelli
2024	J	`jnl`	Derivative-free separable quadratic modeling and cubic regularization for unconstrained optimization. 4OR Ana Luísa Custódio, Rohollah Garmanjani, Marcos Raydan
2023	J	`jnl`	A Low-Cost Alternating Projection Approach for a Continuous Formulation of Convex and Cardinality Constrained Optimization. Oper. Res. Forum Natasa Krejic, Evelin H. M. Krulikovski, Marcos Raydan
2023	J	`jnl`	The max-out min-in problem: A tool for data analysis. Comput. Oper. Res. Jorge Orestes Cerdeira, Maria João Martins, Marcos Raydan
2022	J	`jnl`	A family of optimal weighted conjugate-gradient-type methods for strictly convex quadratic minimization. Numer. Algorithms Harry Oviedo, Roberto Andreani, Marcos Raydan
2022	J	`jnl`	An extended delayed weighted gradient algorithm for solving strongly convex optimization problems. J. Comput. Appl. Math. Roberto Andreani, Harry Oviedo, Marcos Raydan, Leonardo D. Secchin
2022	J	`jnl`	Using first-order information in direct multisearch for multiobjective optimization. Optim. Methods Softw. Roberto Andreani, Ana Luísa Custódio, Marcos Raydan
2021	J	`jnl`	Properties of the delayed weighted gradient method. Comput. Optim. Appl. Roberto Andreani, Marcos Raydan
2021	J	`jnl`	Relationship between quality of basis for surface approximation and the effect of applying preconditioning strategies to their resulting linear systems. Comput. Appl. Math. Miguel A. Fortes, Marcos Raydan, A. M. Sajo-Castelli
2020	J	`jnl`	A metaheuristic penalty approach for the starting point in nonlinear programming. RAIRO Oper. Res. David R. Penas, Marcos Raydan
2020	J	`jnl`	Geometrical inverse matrix approximation for least-squares problems and acceleration strategies. Numer. Algorithms Jean-Paul Chehab, Marcos Raydan
2020	J	`jnl`	Large-scale unconstrained optimization using separable cubic modeling and matrix-free subspace minimization. Comput. Optim. Appl. Carmo P. Brás, José Mario Martínez, Marcos Raydan
2019	J	`jnl`	Nonlinear Least-Squares Approach for Large-Scale Algebraic Riccati Equations. SIAM J. Sci. Comput. Khalide Jbilou, Marcos Raydan
2018	J	`jnl`	Conditional Gradient Method for Double-Convex Fractional Programming Matrix Problems. J. Optim. Theory Appl. Abderrahman Bouhamidi, Mohammed Bellalij, Rentsen Enkhbat, Khalide Jbilou, Marcos Raydan
2017	J	`jnl`	Cubic-regularization counterpart of a variable-norm trust-region method for unconstrained minimization. J. Glob. Optim. José Mario Martínez, Marcos Raydan
2017	J	`jnl`	Nonsmooth spectral gradient methods for unconstrained optimization. EURO J. Comput. Optim. Milagros Loreto, Hugo Aponte, Debora Cores, Marcos Raydan
2016	J	`jnl`	An acceleration scheme for Dykstra's algorithm. Comput. Optim. Appl. Williams Jesús López Yánez, Marcos Raydan
2016	J	`jnl`	Inverse-free recursive multiresolution algorithms for a data approximation problem. Comput. Math. Appl. Miguel A. Fortes, Marcos Raydan, A. M. Sajo-Castelli
2015	J	`jnl`	Separable cubic modeling and a trust-region strategy for unconstrained minimization with impact in global optimization. J. Glob. Optim. José Mario Martínez, Marcos Raydan
2014	J	`jnl`	Preconditioned conjugate gradient method for finding minimal energy surfaces on Powell-Sabin triangulations. J. Comput. Appl. Math. A. M. Sajo-Castelli, Miguel A. Fortes, Marcos Raydan
2011	J	`jnl`	An implicit preconditioning strategy for large-scale generalized Sylvester equations. Appl. Math. Comput. Jean-Paul Chehab, Marcos Raydan
2011	J	`jnl`	Convex constrained optimization for large-scale generalized Sylvester equations. Comput. Optim. Appl. Abderrahman Bouhamidi, Khalide Jbilou, Marcos Raydan
2010	J	`jnl`	Computing a Nearest Correlation Matrix with Factor Structure. SIAM J. Matrix Anal. Appl. Rüdiger Borsdorf, Nicholas J. Higham, Marcos Raydan
2010	J	`jnl`	Residual algorithm for large-scale positive definite generalized eigenvalue problems. Comput. Optim. Appl. Lenys Bello, William La Cruz, Marcos Raydan
2010	J	`jnl`	Residual methods for the large-scale matrix pth root and some related problems. Appl. Math. Comput. Braulio De Abreu, Marcos Raydan
2009	—	`ch.`	Dykstra's Algorithm and Robust Stopping Criteria. Encyclopedia of Optimization Ernesto G. Birgin, Marcos Raydan
2008	J	`jnl`	On the solution of the symmetric eigenvalue complementarity problem by the spectral projected gradient algorithm. Numer. Algorithms Joaquim Júdice, Marcos Raydan, Silvério S. Rosa, Sandra Augusta Santos
2007	J	`jnl`	Cauchy-Schwarz and Kantorovich type inequalities for scalar and matrix moment sequences. Adv. Comput. Math. Claude Brezinski, Marcos Raydan
2007	J	`jnl`	Spectral projected subgradient with a momentum term for the Lagrangean dual approach. Comput. Oper. Res. Alejandro Crema, Milagros Loreto, Marcos Raydan
2006	J	`jnl`	Spectral residual method without gradient information for solving large-scale nonlinear systems of equations. Math. Comput. William La Cruz, José Mario Martínez, Marcos Raydan
2005	J	`jnl`	Robust Stopping Criteria for Dykstra's Algorithm. SIAM J. Sci. Comput. Ernesto G. Birgin, Marcos Raydan
2003	J	`jnl`	Nonmonotone spectral methods for large-scale nonlinear systems. Optim. Methods Softw. William La Cruz, Marcos Raydan
2003	J	`jnl`	Selective alternating projections to find the nearest SDD Appl. Math. Comput. Marliny Monsalve, Joali Moreno, René Escalante, Marcos Raydan
2002	J	`jnl`	Preconditioned Spectral Gradient Method. Numer. Algorithms Francisco Luengo, Marcos Raydan, William Kile Glunt, Tom L. Hayden
2002	J	`jnl`	Primal and polar approach for computing the symmetric diagonally dominant projection. Numer. Linear Algebra Appl. Marcos Raydan, Pablo Tarazaga
2002	J	`jnl`	Relaxed Steepest Descent and Cauchy-Barzilai-Borwein Method. Comput. Optim. Appl. Marcos Raydan, Benar Fux Svaiter
2002	J	`jnl`	Spectral Variants of Krylov Subspace Methods. Numer. Algorithms Brígida Molina, Marcos Raydan
2001	J	`jnl`	Algorithm 813: SPG - Software for Convex-Constrained Optimization. ACM Trans. Math. Softw. Ernesto G. Birgin, José Mario Martínez, Marcos Raydan
2000	J	`jnl`	Nonmonotone Spectral Projected Gradient Methods on Convex Sets. SIAM J. Optim. Ernesto G. Birgin, José Mario Martínez, Marcos Raydan
1998	J	`jnl`	Computing the nearest diagonally dominant matrix. Numer. Linear Algebra Appl. María Mendoza, Marcos Raydan, Pablo Tarazaga
1997	J	`jnl`	The Barzilai and Borwein Gradient Method for the Large Scale Unconstrained Minimization Problem. SIAM J. Optim. Marcos Raydan
1996	J	`jnl`	Dykstra's Algorithm for a Constrained Least-squares Matrix Problem. Numer. Linear Algebra Appl. René Escalante, Marcos Raydan
1996	J	`jnl`	Preconditioned Barzilai-Borwein method for the numerical solution of partial differential equations. Numer. Algorithms Brígida Molina, Marcos Raydan
1994	J	`jnl`	Preconditioners for Distance Matrix Algorithms. J. Comput. Chem. William Kile Glunt, Thomas L. Hayden, Marcos Raydan
1993	J	`jnl`	Molecular conformations from distance matrices. J. Comput. Chem. William Kile Glunt, Tom L. Hayden, Marcos Raydan