In this paper we analyze the complexity of the maximum cardinality b-matching problem in k-uniform hypergraphs. b-matching is the following problem: for a given b ∈ ℕ and a hypergraph script H = (V, ε), |V| = n, a subset with maximum cardinality is sought so that no vertex is contained in more than b hyperedges of M. The b-matching problem is a prototype of packing integer programs with right-hand side b ≥ 1. It has been studied in combinatorics and optimization. Positive approximation results are known for b ≥ 1 and k-uniform hypergraphs (Krysta 2005) and constant factor approximations for general hypergraphs for b = Ω(logn), (Srinivasan 1999, Srivastav, Stangier 1996, Raghavan, Thompson 1987), but the inapproximability of the problem has been studied only for b = 1 and k-uniform and k-partite hypergraphs (Hazan, Safra, Schwartz 2006). Thus the range from b ∈ [2,logn] is almost unexplored. In this paper we give the first inapproximability result for k-uniform hypergraphs: for every 2 ≤ b ≤ k/logk there no polynomial-time approximation within any ratio smaller than , unless . Our result generalizes the result of Hazan, Safra and Schwartz from b = 1 to any fixed 2 ≤ b ≤ k/log k and k-uniform hypergraphs. But the crucial point is that for the first time we can see how b influences the non-approximability. We consider this result as a necessary step in further understanding the non-approximability of general packing problems. It is notable that the proof of Hazan, Safra and Schwartz cannot be lifted to b ≥ 2. In fact, some new techniques and ingredients are required; the probabilistic proof of the existence of a hypergraph with "almost" disjoint b-matching where dependent events have to be decoupled (in contrast to Hazan et al.) and the generation of some sparse hypergraph. © 2011 Springer-Verlag.
CITATION STYLE
El Ouali, M., Fretwurst, A., & Srivastav, A. (2011). Inapproximability of b-matching in k-uniform hypergraphs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6552 LNCS, pp. 57–69). https://doi.org/10.1007/978-3-642-19094-0_8
Mendeley helps you to discover research relevant for your work.