Equivalence of e ‐Approximate Separation and Optimization in Fixed Dimensions

Equivalence of e ‐Approximate Separation and Optimization in Fixed Dimensions

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Article ID: iaor20121020
Volume: 29
Issue: 4
Start Page Number: 582
End Page Number: 594
Publication Date: Apr 2001
Journal: Algorithmica
Authors: ,
Keywords: sets
Abstract:

Given a closed, convex set X\subseteq \bbR n , containing the origin, we consider the problem (P) : max {cˆ x\colon x ∈ X} . We show that, for a fixed dimension, n , and fixed \eps , 0 <\eps<1 , the existence of a combinatorial, strongly polynomial \eps ‐approximation separation algorithm for the set X is equivalent to the existence of a combinatorial, strongly polynomial \eps ‐approximation optimization algorithm for the problem (P) .

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