Marcos Raydan
Orcid: 0000-0003-0417-7981
According to our database1,
Marcos Raydan
authored at least 44 papers
between 1993 and 2024.
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Bibliography
2024
Derivative-free separable quadratic modeling and cubic regularization for unconstrained optimization.
4OR, March, 2024
2023
A Low-Cost Alternating Projection Approach for a Continuous Formulation of Convex and Cardinality Constrained Optimization.
Oper. Res. Forum, December, 2023
2022
Optim. Methods Softw., 2022
A family of optimal weighted conjugate-gradient-type methods for strictly convex quadratic minimization.
Numer. Algorithms, 2022
An extended delayed weighted gradient algorithm for solving strongly convex optimization problems.
J. Comput. Appl. Math., 2022
2021
Relationship between quality of basis for surface approximation and the effect of applying preconditioning strategies to their resulting linear systems.
Comput. Appl. Math., 2021
2020
RAIRO Oper. Res., 2020
Geometrical inverse matrix approximation for least-squares problems and acceleration strategies.
Numer. Algorithms, 2020
Large-scale unconstrained optimization using separable cubic modeling and matrix-free subspace minimization.
Comput. Optim. Appl., 2020
2019
SIAM J. Sci. Comput., 2019
2018
Conditional Gradient Method for Double-Convex Fractional Programming Matrix Problems.
J. Optim. Theory Appl., 2018
2017
Cubic-regularization counterpart of a variable-norm trust-region method for unconstrained minimization.
J. Glob. Optim., 2017
EURO J. Comput. Optim., 2017
2016
Comput. Math. Appl., 2016
2015
Separable cubic modeling and a trust-region strategy for unconstrained minimization with impact in global optimization.
J. Glob. Optim., 2015
2014
Preconditioned conjugate gradient method for finding minimal energy surfaces on Powell-Sabin triangulations.
J. Comput. Appl. Math., 2014
2011
Comput. Optim. Appl., 2011
An implicit preconditioning strategy for large-scale generalized Sylvester equations.
Appl. Math. Comput., 2011
2010
SIAM J. Matrix Anal. Appl., 2010
Residual algorithm for large-scale positive definite generalized eigenvalue problems.
Comput. Optim. Appl., 2010
Appl. Math. Comput., 2010
2009
Proceedings of the Encyclopedia of Optimization, Second Edition, 2009
2008
On the solution of the symmetric eigenvalue complementarity problem by the spectral projected gradient algorithm.
Numer. Algorithms, 2008
2007
Spectral projected subgradient with a momentum term for the Lagrangean dual approach.
Comput. Oper. Res., 2007
Cauchy-Schwarz and Kantorovich type inequalities for scalar and matrix moment sequences.
Adv. Comput. Math., 2007
2006
Spectral residual method without gradient information for solving large-scale nonlinear systems of equations.
Math. Comput., 2006
2005
2003
Optim. Methods Softw., 2003
Appl. Math. Comput., 2003
2002
Primal and polar approach for computing the symmetric diagonally dominant projection.
Numer. Linear Algebra Appl., 2002
Comput. Optim. Appl., 2002
2001
ACM Trans. Math. Softw., 2001
2000
1998
1997
The Barzilai and Borwein Gradient Method for the Large Scale Unconstrained Minimization Problem.
SIAM J. Optim., 1997
1996
Numer. Linear Algebra Appl., 1996
Preconditioned Barzilai-Borwein method for the numerical solution of partial differential equations.
Numer. Algorithms, 1996
1994
1993