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Digraph decompositions and monotonicity in digraph searching

机译:有向图搜索中的有向图分解和单调性

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Graph decompositions such as tree-decompositions and associated width measures have been the focus of much attention in structural and algorithmic graph theory. In particular, it has been found that many otherwise intractable problems become tractable on graph classes of bounded tree-width. More recently, proposals have been made to define a similar notion to tree-width for directed graphs. Several proposals have appeared so far, supported by algorithmic applications. In this paper we explore the limits of algorithmic applicability of digraph decompositions and show that various natural candidates for problems, which potentially could benefit from digraphs having small "directed width", remain NP-complete even on almost acyclic graphs. Closely related to graph and digraph decompositions are graph searching games. An important property of graph searching games is monotonicity and a large number of papers addresses the question whether particular variants of these games are monotone. However, so far for two natural types of graph searching games - underlying DAG- and Kelly-decompositions - the question whether they are monotone was still open. We settle this issue by showing that both variants, the visible and the inert invisible graph searching games on directed graphs, are non-monotone.
机译:图分解(例如树分解)和关联的宽度度量已成为结构图和算法图论中的焦点。特别地,已经发现许多其他难以解决的问题在有界树宽的图类上变得易于处理。最近,提出了为有向图定义与树宽相似的概念的提议。到目前为止,已经出现了一些建议,并得到了算法应用程序的支持。在本文中,我们探索了有向图分解算法适用性的局限性,并表明,可能从具有较小“有向宽度”的有向图的图中受益的各种自然候选问题,即使在几乎非循环图上也保持了NP完全性。与图和有向图分解密切相关的是图搜索游戏。图搜索游戏的一个重要属性是单调性,大量论文解决了这些游戏的特定变体是否是单调的问题。但是,到目前为止,对于两种自然类型的图搜索游戏-基础DAG和Kelly分解-它们是否是单调的问题仍然存在。通过显示有向图上的可见变体和惰性不可见图搜索游戏这两个变体都是非单调的,我们解决了这个问题。

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