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Article . 2005 . Peer-reviewed
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Greedy approximation algorithms for directed multicuts

Authors: Yana Kortsarts; Guy Kortsarz; Zeev Nutov;

Greedy approximation algorithms for directed multicuts

Abstract

AbstractThe 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 any (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 $O(\min\{\sqrt{n},opt\})$ by Gupta, where n = |V|, and opt is the optimal solution value. All known nontrivial approximation algorithms for the problem solve large linear programs. We give the first combinatorial approximation algorithms for the problem. Our main result is an Õ(n2/3/opt1/3)‐approximation algorithm for UDM, which improves the $O(\min\{opt,\sqrt{n}\})$‐approximation for opt = Ω(n1/2+ϵ). Combined with the article of Gupta, we get that UDM can be approximated within better than $O(\sqrt n)$, unless $opt={\tilde \Theta}(\sqrt n)$. We also give a simple and fast O(n2/3)‐approximation algorithm for DM. © 2005 Wiley Periodicals, Inc. NETWORKS, Vol. 45(4), 214–217 2005

Keywords

graphs, Graph theory (including graph drawing) in computer science, multicuts, directed, approximation, Approximation algorithms

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Average
Average
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