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A Polynomial Time Algorithm for Finding Linear Interval Graph Patterns

机译:查找线性间隔图模式的多项式时间算法

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摘要

A graph is an interval graph if and only if each vertex in the graph can be associated with an interval on the real line such that any two vertices are adjacent in the graph exactly when the corresponding intervals have a nonempty intersection. A number of interesting applications for interval graphs have been found in the literature. In order to find structural features common to structural data which can be represented by intervals, this paper proposes new interval graph structured patterns, called linear interval graph patterns, and a polynomial time algorithm for finding a minimally generalized linear interval graph pattern explaining a given finite set of interval graphs.
机译:当且仅当图中的每个顶点都可以与实线上的间隔相关联时,才使得该图成为间隔图。在文献中发现了许多有趣的区间图应用。为了找到可以用间隔表示的结构数据共有的结构特征,本文提出了一种新的间隔图结构化模式,称为线性间隔图模式,以及一种多项式时间算法,用于找到解释给定有限项的最小广义线性间隔图模式间隔图集。

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