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A greedy approximation algorithm for the uniform metric labeling problem analyzed by a primal-dual technique

Published: 31 December 2005 Publication History

Abstract

We consider the uniform metric labeling problem. This NP-hard problem considers how to assign objects to labels respecting assignment and separation costs. The known approximation algorithms are based on solutions of large linear programs and are impractical for moderate- and large-size instances. We present an 8log n-approximation algorithm that can be applied to large-size instances. The algorithm is greedy and is analyzed by a primal-dual technique. We implemented the presented algorithm and two known approximation algorithms and compared them at randomized instances. The gain of time was considerable with small error ratios. We also show that the analysis is tight, up to a constant factor.

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  1. A greedy approximation algorithm for the uniform metric labeling problem analyzed by a primal-dual technique

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      cover image ACM Journal of Experimental Algorithmics
      ACM Journal of Experimental Algorithmics  Volume 10, Issue
      2005
      291 pages
      ISSN:1084-6654
      EISSN:1084-6654
      DOI:10.1145/1064546
      Issue’s Table of Contents
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Association for Computing Machinery

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      Publication History

      Published: 31 December 2005
      Published in JEA Volume 10

      Author Tags

      1. Approximation algorithms
      2. graph labeling

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