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Finding Perfect Matchings in Bipartite Hypergraphs

机译:在二分编程中找到完美的匹配

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Haxell's condition [16] is a natural hypergraph analog of Hall's condition, which is a well-known necessary and sufficient condition for a bipartite graph to admit a perfect matching. That is, when Haxell's condition holds it forces the existence of a perfect matching in the bipartite hypergraph. Unlike in graphs, however, there is no known polynomial time algorithm to find the hypergraph perfect matching that is guaranteed to exist when Haxell's condition is satisfied. We prove the existence of an efficient algorithm to find perfect matchings in bipartite hypergraphs whenever a stronger version of Haxell's condition holds. Our algorithm can be seen as a generalization of the classical Hungarian algorithm for finding perfect matchings in bipartite graphs. The techniques we use to achieve this result could be of use more generally in other combinatorial problems on hypergraphs where disjointness structure is crucial, e.g. Set Packing.
机译:Haxell的病情[16]是霍尔病情的天然超图模拟,这是一款众所周知的必要性和足够的条件,以承认完美匹配。也就是说,当Haxell的条件保持它强制存在于二分钟超图中的完美匹配。然而,与图中没有已知的多项式时间算法,以查找HAXELL的条件满足时保证存在的超图完美匹配。我们证明存在高效算法,以便每当哈克尔的条件的更强大版本的情况下,在二分超图中找到完美匹配。我们的算法可以被视为经典匈牙利算法的概括,用于在二分图中找到完美匹配。我们用于实现这一结果的技术可能更普遍地在其他组合问题上使用,其中脱节结构至关重要,例如,设置包装。

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