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Please use this identifier to cite or link to this item: http://hdl.handle.net/1903/1272

Title: An Improved Approximation Algorithm For Vertex Cover with Hard Capacities
Authors: Gandhi, Rajiv
Halperin, Eran
Khuller, Samir
Kortsarz, Guy
Srinivasan, Aravind
Type: Technical Report
Issue Date: 4-Apr-2003
Series/Report no.: UM Computer Science Department; CS-TR-4460
UMIACS; UMIACS-TR-2003-30
Abstract: In this paper we study the capacitated vertex cover problem, a generalization of the well-known vertex cover problem. Given a graph $G=(V,E)$, the goal is to cover all the edges by picking a minimum cover using the vertices. When we pick a vertex, we cover up to a pre-specified number of edges incident on this vertex (its capacity). The problem is clearly NP-hard as it generalizes the well-known vertex cover problem. Previously, $2$-approximation algorithms were developed with the assumption that multiple copies of a vertex may be chosen in the cover. If we are allowed to pick at most a given number of copies of each vertex, then the problem is significantly harder to solve. Chuzhoy and Naor (\textit{Proc.\ IEEE Symposium on Foundations of Computer Science, 481--489, 2002}) have recently shown that the weighted version of this problem is at least as hard as set cover; they have also developed a $3$-approximation algorithm for the unweighted version. We give a $2$-a...
URI: http://hdl.handle.net/1903/1272
Appears in Collections:Technical Reports of the Computer Science Department
Technical Reports from UMIACS

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