有向图中的Detours

IF 1.1 3区 计算机科学 Q1 BUSINESS, FINANCE
Fedor V. Fomin , Petr A. Golovach , William Lochet , Danil Sagunov , Saket Saurabh , Kirill Simonov
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引用次数: 0

摘要

我们研究了无向图和有向图上经典最长路径问题的两个“上保证”版本,得到了以下结果。在我们研究的最长路径的第一个变体中,称为最长Detour,任务是确定图是否具有长度至少为distG(s,t)+k的(s,t)路径。Bezáková等人[7]证明了在无向图上问题是固定参数可处理的(FPT)。我们的第一个主要结果建立了有向图上的最长Detour和有向图的3-不联合路径之间的联系。利用这些新的见解,我们设计了一个求解有向平面图问题的2O(k)·nO(1)时间算法。此外,新方法在无向图上产生了明显更快的FPT算法。在最长路径的第二种变体中,即直径以上的最长路径,任务是决定图是否具有长度至少为直径(G)+k的路径。我们在无向图和有向图上得到了关于直径以上最长路径的二分法结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detours in directed graphs

We study two “above guarantee” versions of the classical Longest Path problem on undirected and directed graphs and obtain the following results. In the first variant of Longest Path that we study, called Longest Detour, the task is to decide whether a graph has an (s,t)-path of length at least distG(s,t)+k. Bezáková et al. [7] proved that on undirected graphs the problem is fixed-parameter tractable (FPT). Our first main result establishes a connection between Longest Detour on directed graphs and 3- Disjoint Paths on directed graphs. Using these new insights, we design a 2O(k)nO(1) time algorithm for the problem on directed planar graphs. Furthermore, the new approach yields a significantly faster FPT algorithm on undirected graphs. In the second variant of Longest Path, namely Longest Path above Diameter, the task is to decide whether the graph has a path of length at least diam(G)+k. We obtain dichotomy results about Longest Path above Diameter on undirected and directed graphs.

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来源期刊
Journal of Computer and System Sciences
Journal of Computer and System Sciences 工程技术-计算机:理论方法
CiteScore
3.70
自引率
0.00%
发文量
58
审稿时长
68 days
期刊介绍: The Journal of Computer and System Sciences publishes original research papers in computer science and related subjects in system science, with attention to the relevant mathematical theory. Applications-oriented papers may also be accepted and they are expected to contain deep analytic evaluation of the proposed solutions. Research areas include traditional subjects such as: • Theory of algorithms and computability • Formal languages • Automata theory Contemporary subjects such as: • Complexity theory • Algorithmic Complexity • Parallel & distributed computing • Computer networks • Neural networks • Computational learning theory • Database theory & practice • Computer modeling of complex systems • Security and Privacy.
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