# Optimality Conditions for Piecewise-Convex Maximization Problems

Abstract : A function $F:\Rset^n\rightarrow \Rset$ is called a {\em piecewise convex}-fun- ction if it decomposes as $F(x)=\min\{f_j(x)\;\mid\; j \in M=\{1,2...,m\}\},$ where $f_j:\Rset^n\rightarrow \Rset$ is convex for all $j\in M$. Let $D$ be a nonempty, compact, and convex subset of $\Rset^n$, $T:\Rset^n\rightarrow \Rset^n$ be a continuous operator and $F:\Rset^n\rightarrow \Rset$ be piecewise convex, the purpose of this article is twofold: to extend necessary and sufficient optimality conditions for convexmaximization problem to piecewise convex maximization problem: \begin{eqnarray} &\mbox{ maximize }& F(x), \mbox{ subject to } x\in D\specialeqnum{PCMP} \end{eqnarray} to apply (PCMP) to a class of nonmonotone variational inequality problem, i.e. find a vector $z\in D$ such that \begin{eqnarray} &&\langle T(z),x-z\rangle\leq 0, \; \mbox{ for all } x\in D. \specialeqnum{VIP- (T,D)} \end{eqnarray} Both problems have many practical and theoretical applications. Solution for the latter has been extensively considered under monotonicity or pseudomonotonicity of the operator $-T(\cdot)$; here we further study the nonmonotone case.
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Type de document :
Rapport
[Research Report] RR-3941, INRIA. 2000
Domaine :
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https://hal.inria.fr/inria-00072709
Contributeur : Rapport de Recherche Inria <>
Soumis le : mercredi 24 mai 2006 - 10:40:30
Dernière modification le : samedi 17 septembre 2016 - 01:29:00
Document(s) archivé(s) le : dimanche 4 avril 2010 - 23:19:20

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• HAL Id : inria-00072709, version 1

### Citation

Ider Tsevendorj. Optimality Conditions for Piecewise-Convex Maximization Problems. [Research Report] RR-3941, INRIA. 2000. 〈inria-00072709〉

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