Approximation algorithm for Directed Multicuts

0Citations
Citations of this article
4Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The Directed Multicut (DM) problem is: given a simple directed graph G = (V, E) with positive capacities ue on the edges, and a set K ⊆ V × V of ordered pairs of nodes of G, find a minimum capacity K-multicut; C ⊆ E is a K-multicut if in G-C there is no (s, t)-path for every (s, t) ∈ K. In the uncapacitated case (UDM) the goal is to find a minimum size K-multicut. The best approximation ratio known for DM is min{O(√n),opt} by Anupam Gupta [5], where n = |V|, and opt is the optimal solution value. All known non-trivial approximation algorithms for the problem solve large linear programs. We give the first combinatorial approximation algorithms for the problem. Our main result is a Ō(n2/3/opt1/3)- approximation algorithm for UDM, which improves the √n-approximation for opt = Ω(n1/2+ε). Combined with the paper of Gupta [5], we get that UDM can be approximated within better than O(√n), unless opt = Θ̃(√n). We also give a simple and fast O(n2/3)- approximation algorithm for DM. © Springer-Verlag Berlin Heidelberg 2005.

Cite

CITATION STYLE

APA

Kortsarts, Y., Kortsarz, G., & Nutov, Z. (2005). Approximation algorithm for Directed Multicuts. In Lecture Notes in Computer Science (Vol. 3351, pp. 61–67). Springer Verlag. https://doi.org/10.1007/978-3-540-31833-0_7

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free