Constraint augmentation in pseudo-singularly perturbed linear programs
Identifieur interne : 005D61 ( Main/Exploration ); précédent : 005D60; suivant : 005D62Constraint augmentation in pseudo-singularly perturbed linear programs
Auteurs : K. Avrachenkov [France] ; R. S. Burachik [Australie] ; J. A. Filar [Australie] ; V. Gaitsgory [Australie]Source :
- Mathematical programming [ 0025-5610 ] ; 2012.
Descripteurs français
- Pascal (Inist)
English descriptors
- KwdEn :
Abstract
In this paper we study a linear programming problem with a linear perturbation introduced through a parameter ε > 0. We identify and analyze an unusual asymptotic phenomenon in such a linear program. Namely, discontinuous limiting behavior of the optimal objective function value of such a linear program may occur even when the rank of the coefficient matrix of the constraints is unchanged by the perturbation. We show that, under mild conditions, this phenomenon is a result of the classical Slater constraint qualification being violated at the limit and propose an iterative, constraint augmentation approach for resolving this problem.
Affiliations:
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Le document en format XML
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<front><div type="abstract" xml:lang="en">In this paper we study a linear programming problem with a linear perturbation introduced through a parameter ε > 0. We identify and analyze an unusual asymptotic phenomenon in such a linear program. Namely, discontinuous limiting behavior of the optimal objective function value of such a linear program may occur even when the rank of the coefficient matrix of the constraints is unchanged by the perturbation. We show that, under mild conditions, this phenomenon is a result of the classical Slater constraint qualification being violated at the limit and propose an iterative, constraint augmentation approach for resolving this problem.</div>
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