arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2007.14502math.COcs.DMcs.DS
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判定稠密正则图(几乎)哈密尔顿性的多项式时间算法

A polynomial-time algorithm to determine (almost) Hamiltonicity of dense regular graphs

Viresh Patel, Fabian Stroh

摘要:

本文给出了一个在稠密正则图中检测超长圈的多项式时间算法。具体而言,我们表明,给定$α\in (0,1)$,存在一个$c=c(α)$,使以下成立:有一个多项式时间算法,给定$D$ -正则图$G$上的$n$顶点与$D\geq αn$,确定是否$G$包含一个周期至少$n - c$顶点。如果我们放弃密度或正则性条件,这个问题就成为NP完全问题。该算法结合了极值图论和谱分割的工具,以及一些进一步的算法成分。

英文摘要:

We give a polynomial-time algorithm for detecting very long cycles in dense regular graphs. Specifically, we show that, given $α\in (0,1)$, there exists a $c=c(α)$ such that the following holds: there is a polynomial-time algorithm that, given a $D$-regular graph $G$ on $n$ vertices with $D\geq αn$, determines whether $G$ contains a cycle on at least $n - c$ vertices. The problem becomes NP-complete if we drop either the density or the regularity condition. The algorithm combines tools from extremal graph theory and spectral partitioning as well as some further algorithmic ingredients.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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