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Linear-Time Recognition of Helly Circular-Arc Models and Graphs

机译:Helly圆弧模型和图形的线性时间识别

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摘要

A circular-arc model ℳ is a circle C together with a collection Amathcal{A} of arcs of C. If Amathcal{A} satisfies the Helly Property then ℳ is a Helly circular-arc model. A (Helly) circular-arc graph is the intersection graph of a (Helly) circular-arc model. Circular-arc graphs and their subclasses have been the object of a great deal of attention in the literature. Linear-time recognition algorithms have been described both for the general class and for some of its subclasses. However, for Helly circular-arc graphs, the best recognition algorithm is that by Gavril, whose complexity is O(n 3). In this article, we describe different characterizations for Helly circular-arc graphs, including a characterization by forbidden induced subgraphs for the class. The characterizations lead to a linear-time recognition algorithm for recognizing graphs of this class. The algorithm also produces certificates for a negative answer, by exhibiting a forbidden subgraph of it, within this same bound.
机译:圆弧模型ℳ是圆C以及圆弧的集合Amathcal {A}。如果Amathcal {A}满足Helly属性,则ℳ是Helly圆弧模型。 (Helly)圆弧图是(Helly)圆弧模型的交集图。圆弧图及其子类一直是文献中的主要关注对象。线性时间识别算法已针对一般类及其某些子类进行了描述。但是,对于Helly圆弧图,最好的识别算法是Gavril的算法,其复杂度为O(n 3 )。在本文中,我们描述了Helly圆弧图的不同特征,包括该类的禁止诱导子图的特征。这些特征导致了用于识别此类图形的线性时间识别算法。该算法还通过在此相同范围内展示禁止回答的子图来生成否定答案的证书。

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