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On solving general reverse convex programming problems by a sequence of linear programs and line searches

Identifieur interne : 001055 ( Istex/Corpus ); précédent : 001054; suivant : 001056

On solving general reverse convex programming problems by a sequence of linear programs and line searches

Auteurs : Reiner Horst ; Thai Q. Phong ; Nguyen V. Thoai

Source :

RBID : ISTEX:4B64E793AF4CBA58E561967C6A629D346901EBCF

Abstract

Abstract: Many multiextremal global optimization problems can be formulated as problems of minimizing a linear function over the intersection of a convex set with the complement of a convex set (so-called canonical d.c. programs or general reverse convex programming problems). In this paper it is shown that these general reverse convex programming problems can be solved by a sequence of linear programs and univariate convex minimization problems (line searches).

Url:
DOI: 10.1007/BF02283684

Links to Exploration step

ISTEX:4B64E793AF4CBA58E561967C6A629D346901EBCF

Le document en format XML

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