首页> 外文会议>STACS 2007; Lecture Notes in Computer Science; 4393 >Characterizing Minimal Interval Completions Towards Better Understanding of Profile and Pathwidth (Extended Abstract)
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Characterizing Minimal Interval Completions Towards Better Understanding of Profile and Pathwidth (Extended Abstract)

机译:表征最小间隔完成以更好地了解轮廓和路径宽度(扩展摘要)

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Minimal interval completions of graphs are central in understanding two important and widely studied graph parameters: profile and pathwidth. Such understanding seems necessary to be able to attack the problem of computing these parameters. An interval completion of a given graph is an interval supergraph of it on the same vertex set, obtained by adding edges. If no subset of the added edges can be removed without destroying the interval property, we call it a minimal interval completion. In this paper, we give the first characterization of minimal interval completions. We present a polynomial time algorithm, for deciding whether a given interval completion of an arbitrary graph is minimal. If the interval completion is not minimal the algorithm can be used to extract a minimal interval completion that is a subgraph of the given interval completion.
机译:图形的最小间隔完成是理解两个重要且广泛研究的图形参数(轮廓和路径宽度)的关键。这种理解似乎是必须的,以便能够解决计算这些参数的问题。给定图的间隔完成是在相同顶点集上通过添加边获得的间隔超图。如果在不破坏interval属性的情况下无法移除添加的边的子集,我们将其称为最小间隔完成。在本文中,我们给出最小间隔完成的第一个特征。我们提出了多项式时间算法,用于确定任意图的给定间隔完成是否最小。如果间隔完成不是最小的,则算法可用于提取最小间隔完成,该最小间隔完成是给定间隔完成的子图。

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