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2003 | OriginalPaper | Chapter

Optimization on Directionally Convex Sets

Author : Vladimir Naidenko

Published in: Operations Research Proceedings 2002

Publisher: Springer Berlin Heidelberg

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Directional convexity generalizes the concept of classical convexity. We investigate aC-convexity generated by the intersections of C-semispaces that efficiently approximates directional convexity. We consider the following optimization problem in case of the direction set of aC-convexity being infinite. Given a compact aC-convex set A, maximize a linear form L subject to A. We prove that there exists an aC-extreme solution of the problem. A Krein-Milman type theorem has been proved for aC-convexity. We show that the aC-convex hull of a finite point set represents the union of a finite set of polytopes in case of the direction set being finite.

Metadata
Title
Optimization on Directionally Convex Sets
Author
Vladimir Naidenko
Copyright Year
2003
Publisher
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-55537-4_57