Asymmetric k -center is log * n -hard to approximate

Author:

Chuzhoy Julia1,Guha Sudipto2,Halperin Eran3,Khanna Sanjeev2,Kortsarz Guy4,Krauthgamer Robert3,Naor Joseph (Seffi)5

Affiliation:

1. MIT, Cambridge Massachusetts

2. University of Pennsylvania, Philadelphia, Pennsylvania, Philadelphia, PA

3. International Computer Science Institute, Berkeley, California, and University of California, Berkeley, Berkeley, California, CA

4. Rutgers University, Camden, New Jersey

5. Technion, Haifa, Israel

Abstract

In the ASYMMETRIC k -CENTER problem, the input is an integer k and a complete digraph over n points together with a distance function obeying the directed triangle inequality. The goal is to choose a set of k points to serve as centers and to assign all the points to the centers, so that the maximum distance of any point from its center is as small as possible.We show that the ASYMMETRIC k -CENTER problem is hard to approximate up to a factor of log * nO (1) unless NPDTIME ( n log log n ). Since an O (log * n )-approximation algorithm is known for this problem, this resolves the asymptotic approximability of ASYMMETRIC k -CENTER. This is the first natural problem whose approximability threshold does not polynomially relate to the known approximation classes. We also resolve the approximability threshold of the metric (symmetric) k -Center problem with costs.

Publisher

Association for Computing Machinery (ACM)

Subject

Artificial Intelligence,Hardware and Architecture,Information Systems,Control and Systems Engineering,Software

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