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Improved Algorithms for Detecting Negative Cost Cycles in Undirected Graphs

机译:用于检测无向图中负成本周期的改进算法

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In this paper, we explore the design of algorithms for the problem of checking whether an undirected graph contains a negative cost cycle (UNCCD). It is known that this problem is significantly harder than the corresponding problem in directed graphs. Current approaches for solving this problem involve reducing it to either the b-matching problem or the T-join problem. The latter approach is more efficient in that it runs in O(n~3) time on a graph with n vertices and m edges, while the former runs in O(n~6) time. This paper shows that instances of the UNCCD problem, in which edge weights are restricted to be in the range {-K · ·K} can be solved in O(n~(2.75) · log n) time. Our algorithm is basically a variation of the T-join approach, which exploits the existence of extremely efficient shortest path algorithms in graphs with integral positive weights. We also provide an implementation profile of the algorithms discussed.
机译:在本文中,我们探讨了用于检查无向图是否包含负成本周期(UNCCD)的问题的算法设计。众所周知,这个问题比有向图中的相应问题要困难得多。解决该问题的当前方法包括将其简化为b匹配问题或T连接问题。后一种方法效率更高,因为它在具有n个顶点和m个边的图上以O(n〜3)时间运行,而前者以O(n〜6)时间运行。本文表明,可以在O(n〜(2.75)·log n)时间内解决边际权重限制在{-K··K}范围内的UNCCD问题实例。我们的算法基本上是T-join方法的一种变体,它利用了积分正权重图中极高效的最短路径算法的存在。我们还提供了所讨论算法的实现概况。

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