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Finding Tight Hamilton Cycles in Random Hypergraphs Faster

机译:在随机超图中更快找到紧汉密尔顿环

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In an r-uniform hypergraph on n vertices a tight Hamilton cycle consists of n edges such that there exists a cyclic ordering of the vertices where the edges correspond to consecutive segments of r vertices. We provide a first deterministic polynomial time algorithm, which finds a.a.s. tight Hamilton cycles in random r-uniform hypergraphs with edge probability at least Clog~3n. Our result partially answers a question of Dudek and Frieze (Random Struct Algorithms 42:374-385, 2013) who proved that tight Hamilton cycles exists already for p = ω(1) for r = 3 and p = (e + o(l)) for r ≥4 using a second moment argument. Moreover our algorithm is superior to previous results of Allen et al. (Random Struct Algorithms 46:446-465, 2015) and Nenadov and Skoric (arXiv:1601.04034) in various ways: the algorithm of Allen et al. is a randomised polynomial time algorithm working for edge probabilities p ≥ n~(-1+ε), while the algorithm of Nenadov and Skoric is a randomised quasipolynomial time algorithm working for edge probabilities p ≥ Clog~8 n.
机译:在n个顶点上的r均匀超图中,紧汉密尔顿循环由n个边组成,因此存在顶点的循环排序,其中边对应于r个顶点的连续段。我们提供了第一个确定性多项式时间算法,该算法可以找到a.a.s。随机r均匀超图中的紧汉密尔顿循环,边缘概率至少为Clog〜3n / n。我们的结果部分回答了Dudek和Frieze(Random Struct Algorithms 42:374-385,2013)的问题,他们证明了对于r = 3和p =(e + o (l))/ n使用第二矩参数获得r≥4。此外,我们的算法优于Allen等人的先前结果。 (Random Struct Algorithms 46:446-465,2015)以及Nenadov和Skoric(arXiv:1601.04034)有多种方式:Allen等人的算法。是适用于边缘概率p≥n〜(-1 +ε)的随机多项式时间算法,而Nenadov和Skoric算法是适用于边缘概率p≥Clog〜8 n / n的随机拟多项式时间算法。

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