Artículo de publicación ISIThis paper studies stability properties of linear optimization problems with finitely many variables and an arbitrary number of constraints, when only left hand side coefficients can be perturbed. The coefficients of the constraints are assumed to be continuous functions with respect to an index which ranges on certain compact Hausdorff topological space, and these properties are preserved by the admissible perturbations. More in detail, the paper analyzes the continuity properties of the feasible set, the optimal set and the optimal value, as well as the preservation of desirable properties (boundedness, uniqueness) of the feasible and of the optimal sets, under sufficiently small perturbations.BASAL (Chile) P...
The paper develops a stability theory for the optimal value and the optimal set mapping of optimizat...
The paper concerns multiobjective linear optimization problems in Rn that are parameterized with res...
AbstractThis paper studies stability properties of solutions for optimization problems subject to pe...
Artículo de publicación ISIThis paper studies stability properties of linear optimization problems w...
This paper studies stability properties of linear optimization problems with finitely many variables...
This paper studies stability properties of linear optimization problems with finitely many variables...
This paper studies stability properties of linear optimization problems with finitely many variables...
This paper studies stability properties of linear optimization problems with finitely many variables...
This paper studies stability properties of linear optimization problems with finitely many variables...
This paper is a kind of biased survey of the most representative and recent results on stability for...
This paper is a kind of biased survey of the most representative and recent results on stability for...
This paper provides stability theorems for the feasible set of optimization problems posed in locall...
The paper develops a stability theory for the optimal value and the optimal set mapping of optimizat...
This paper deals with stability properties of the feasible set of linear inequality systems having a...
This paper is focused on the stability of the optimal value, and its immediate repercussion on the s...
The paper develops a stability theory for the optimal value and the optimal set mapping of optimizat...
The paper concerns multiobjective linear optimization problems in Rn that are parameterized with res...
AbstractThis paper studies stability properties of solutions for optimization problems subject to pe...
Artículo de publicación ISIThis paper studies stability properties of linear optimization problems w...
This paper studies stability properties of linear optimization problems with finitely many variables...
This paper studies stability properties of linear optimization problems with finitely many variables...
This paper studies stability properties of linear optimization problems with finitely many variables...
This paper studies stability properties of linear optimization problems with finitely many variables...
This paper studies stability properties of linear optimization problems with finitely many variables...
This paper is a kind of biased survey of the most representative and recent results on stability for...
This paper is a kind of biased survey of the most representative and recent results on stability for...
This paper provides stability theorems for the feasible set of optimization problems posed in locall...
The paper develops a stability theory for the optimal value and the optimal set mapping of optimizat...
This paper deals with stability properties of the feasible set of linear inequality systems having a...
This paper is focused on the stability of the optimal value, and its immediate repercussion on the s...
The paper develops a stability theory for the optimal value and the optimal set mapping of optimizat...
The paper concerns multiobjective linear optimization problems in Rn that are parameterized with res...
AbstractThis paper studies stability properties of solutions for optimization problems subject to pe...