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arXiv 1602.02610cs.DScs.DMmath.CO
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有界树长图的度量维数

Metric Dimension of Bounded Tree-length Graphs

Rémy Belmonte, Fedor V. Fomin, Petr A. Golovach, M. S. Ramanujan

摘要:

图中的分解集的概念是由Slater(1975)和Harary和Melter(1976)引入的,作为唯一标识图中每个顶点的方法。一个图中的顶点集是一个分解集,如果对于任何一对顶点x和y,在该集中有一个顶点与x和y有不同的距离。图中的最小分解集称为度量基,其大小称为图的度量维数。计算图的度量维数的问题是一个众所周知的NP-难问题,虽然它是已知的多项式时间可解的树,它只是最近才努力了解其计算复杂性的各种限制图类。在最近的工作中,Foucaud et al.(2015)证明了这个问题即使在区间图上也是NP完全的。他们补充了这一结果,还表明它是由图的度量维数参数化的固定参数易处理(FPT)。在这项工作中,我们表明,这个FPT结果实际上可以扩展到所有图的有界树长。这包括众所周知的类,如弦图,AT-自由图和置换图。我们还表明,这个问题是FPT参数化的输入图的模宽度。

英文摘要:

The notion of resolving sets in a graph was introduced by Slater (1975) and Harary and Melter (1976) as a way of uniquely identifying every vertex in a graph. A set of vertices in a graph is a resolving set if for any pair of vertices x and y there is a vertex in the set which has distinct distances to x and y. A smallest resolving set in a graph is called a metric basis and its size, the metric dimension of the graph. The problem of computing the metric dimension of a graph is a well-known NP-hard problem and while it was known to be polynomial time solvable on trees, it is only recently that efforts have been made to understand its computational complexity on various restricted graph classes. In recent work, Foucaud et al. (2015) showed that this problem is NP-complete even on interval graphs. They complemented this result by also showing that it is fixed-parameter tractable (FPT) parameterized by the metric dimension of the graph. In this work, we show that this FPT result can in fact be extended to all graphs of bounded tree-length. This includes well-known classes like chordal graphs, AT-free graphs and permutation graphs. We also show that this problem is FPT parameterized by the modular-width of the input graph.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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