Publication
SIAM Journal on Computing
Paper

O(√log n) approximation to sparsest cut in õ(n2) time

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Abstract

This paper shows how to compute O(√log n)-approximations to the sparsest Cut and Balanced Separator problems in Õ(n2) time, thus improving upon the recent algorithm of Arora, Rao, and Vazirani [Proceedings of the 336th Annual ACM Symposium on Theory of Computing, 2004, pp. 222-231]. Their algorithm uses semidefinite programming and requires Õ(n9.5)time. Our algorithm relies on efficiently finding expander flows in the graph and does not solve semidefinite programs. The existence of expander flows was also established by Arora, Rao, and Vazirani [Proceedings of the 36th Annual ACM Symposium on Theory of Computing, 2004, pp. 222-231]. © 2010 Society for Industrial and Applied Mathematics.

Date

25 Feb 2010

Publication

SIAM Journal on Computing

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