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SIAM Journal on Computing
Approximation algorithms for NP-hard problems
Approximation algorithms for NP-hard problems
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FOCS '99 Proceedings of the 40th Annual Symposium on Foundations of Computer Science
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ACM Computing Surveys (CSUR)
Primal-dual based distributed algorithms for vertex cover with semi-hard capacities
Proceedings of the twenty-fourth annual ACM symposium on Principles of distributed computing
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An improved approximation algorithm for vertex cover with hard capacities
Journal of Computer and System Sciences
An improved approximation algorithm for vertex cover with hard capacities
ICALP'03 Proceedings of the 30th international conference on Automata, languages and programming
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SIROCCO'07 Proceedings of the 14th international conference on Structural information and communication complexity
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APPROX'05/RANDOM'05 Proceedings of the 8th international workshop on Approximation, Randomization and Combinatorial Optimization Problems, and Proceedings of the 9th international conference on Randamization and Computation: algorithms and techniques
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WAOA'04 Proceedings of the Second international conference on Approximation and Online Algorithms
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Proceedings of the twelfth workshop on Foundations of genetic algorithms XII
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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) with weights on the vertices, the goal is to cover all the edges by picking a cover of minimum weight from the vertices. When we pick a copy of a vertex, we pay the weight of the vertex and cover upto a pre-specified number of edges incident on this vertex (its capacity). The problem is NP-hard. We give a primal-dual based 2 approximation and study several generalizations, as well as the problem restricted to trees.