2003 | OriginalPaper | Chapter
Optimization on Directionally Convex Sets
Author : Vladimir Naidenko
Published in: Operations Research Proceedings 2002
Publisher: Springer Berlin Heidelberg
Included in: Professional Book Archive
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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.