Recent contributions to linear semi-infinite optimization: an update

MA Goberna, MA López - Annals of Operations Research, 2018 - Springer
This paper reviews the state-of-the-art in the theory of deterministic and uncertain linear
semi-infinite optimization, presents some numerical approaches to this type of problems …

Regularity and conditioning of solution mappings in variational analysis

AL Dontchev, RT Rockafellar - Set-Valued Analysis, 2004 - Springer
Abstract Concepts of conditioning have long been important in numerical work on solving
systems of equations, but in recent years attempts have been made to extend them to …

Robust solutions to multi-objective linear programs with uncertain data

MA Goberna, V Jeyakumar, G Li… - European Journal of …, 2015 - Elsevier
In this paper we examine multi-objective linear programming problems in the face of data
uncertainty both in the objective function and the constraints. First, we derive a formula for …

Recent contributions to linear semi-infinite optimization

MA Goberna, MA López - 4OR, 2017 - Springer
This paper reviews the state-of-the-art in the theory of deterministic and uncertain linear
semi-infinite optimization, presents some numerical approaches to this type of problems …

Robust solutions of multiobjective linear semi-infinite programs under constraint data uncertainty

MA Goberna, V Jeyakumar, G Li… - SIAM Journal on …, 2014 - SIAM
The multiobjective optimization model studied in this paper deals with simultaneous
minimization of finitely many linear functions subject to an arbitrary number of uncertain …

Metric regularity of semi-infinite constraint systems

MJ Cánovas, AL Dontchev, MA López… - Mathematical programming, 2005 - Springer
We obtain a formula for the modulus of metric regularity of a mapping defined by a semi-
infinite system of equalities and inequalities. Based on this formula, we prove a theorem of …

[图书][B] Post-optimal analysis in linear semi-infinite optimization

MA Goberna, MA López - 2014 - Springer
Linear semi-infinite optimization (LSIO) deals with linear optimization problems in which
either the dimension of the decision space or the number of constraints (but not both) is …

Guaranteeing highly robust weakly efficient solutions for uncertain multi-objective convex programs

MA Goberna, V Jeyakumar, G Li… - European Journal of …, 2018 - Elsevier
This paper deals with uncertain multi-objective convex programming problems, where the
data of the objective function or the constraints or both are allowed to be uncertain within …

Robust and continuous metric subregularity for linear inequality systems

J Camacho, MJ Cánovas, MA López, J Parra - Computational …, 2023 - Springer
This paper introduces two new variational properties, robust and continuous metric
subregularity, for finite linear inequality systems under data perturbations. The motivation of …

Coderivative calculus and metric regularity for constraint and variational systems

W Geremew, BS Mordukhovich, NM Nam - Nonlinear Analysis: Theory …, 2009 - Elsevier
This paper provides new developments in generalized differentiation theory of variational
analysis with their applications to metric regularity of parameterized constraint and …