Tight algorithms for vertex cover with hard capacities on multigraphs and hypergraphs

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Abstract

In this paper we give a f-approximation al- gorithm for the minimum unweighted Vertex Cover problem with Hard Capacity constraints (VCHC) on f-hypergraphs. This problem gen- eralizes standard vertex cover for which the best known approximation ratio is also f and cannot be improved assuming the unique game conjecture. Our result is therefore essentially the best possible. This improves over the previous 2.155 (for f = 2) and 2f approximation algorithms by Cheung, Goemans and Wong (CGW). At the heart of our approach is to apply iterative rounding to a natural LP relaxation that is slightly different from prior works which used (non-iterative) rounding. Our algorithm is significantly simpler and offers an intuitive expla- nation why f-approximation can be achieved for VCHC. We also present faster implementations of our method based on iteratively rounding the solution to certain CGW-style covering LPs.

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APA

Wong, S. C. W. (2017). Tight algorithms for vertex cover with hard capacities on multigraphs and hypergraphs. In Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms (Vol. 0, pp. 2626–2637). Association for Computing Machinery. https://doi.org/10.1137/1.9781611974782.173

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