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The Longest Path Problem Is Polynomial on Cocomparability Graphs

机译:最长路径问题是可比图上的多项式

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摘要

The longest path problem is the problem of finding a path of maximum length in a graph. As a generalization of the Hamiltonian path problem, it is NP-complete on general graphs and, in fact, on every class of graphs that the Hamiltonian path problem is NP-complete. Polynomial solutions for the longest path problem have recently been proposed for weighted trees, Ptolemaic graphs, bipartite permutation graphs, interval graphs, and some small classes of graphs. Although the Hamiltonian path problem on cocomparability graphs was proved to be polynomial almost two decades ago, the complexity status of the longest path problem on cocomparability graphs has remained open; actually, the complexity status of the problem has remained open even on the smaller class of permutation graphs. In this paper, we present a polynomial-time algorithm for solving the longest path problem on the class of cocomparability graphs. Our result resolves the open question for the complexity of the problem on such graphs, and since cocomparability graphs form a superclass of both interval and permutation graphs, extends the polynomial solution of the longest path problem on interval graphs and provides polynomial solution to the class of permutation graphs.
机译:最长路径问题是在图中找到最大长度的路径的问题。作为哈密顿路径问题的一般化,它在一般图上是NP完全的,实际上,在每一类图上,哈密顿路径问题都是NP完全的。最近,针对加权树,托勒密图,二分置换图,间隔图和一些小类图,提出了最长路径问题的多项式解。尽管可比图上的哈密顿路径问题已被证明是多项式,但在将近20年前,可比图上最长路径问题的复杂性状态仍未解决。实际上,即使在较小的置换图类中,问题的复杂性状态仍然是开放的。在本文中,我们提出了一种多项式时间算法,用于解决一类可比图上的最长路径问题。我们的结果解决了此类图上问题的复杂性的开放性问题,并且由于可比性图形成了区间图和置换图的超类,因此扩展了区间图上最长路径问题的多项式解,并为此类图提供了多项式解。排列图。

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