计算时空连通性最佳标签的复杂性

IF 1.1 3区 计算机科学 Q1 BUSINESS, FINANCE Journal of Computer and System Sciences Pub Date : 2024-07-09 DOI:10.1016/j.jcss.2024.103564
Nina Klobas , George B. Mertzios , Hendrik Molter , Paul G. Spirakis
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引用次数: 0

摘要

如果从每个顶点到其他每个顶点都存在一条严格的时间路径,那么这个图就是时间相连的。本文研究无向时间连接图的问题。给定一个连通的无向图,目标是确定确保时间连通性所需的最小时间标签总数,其中表示所有边上与边相关的标签集大小之和。基本问题()可以在多项式时间内优化求解。我们介绍了()问题,它涉及以最大标签的上限连接图;()问题,侧重于连接特定的重要顶点;以及()的年龄限制版本。我们证明,()问题是 NP-完备的,是 W[1]-hard 的,虽然仍然是 NP-hard,但它在终端数量方面是 FPT 的。
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The complexity of computing optimum labelings for temporal connectivity

A graph is temporally connected if a strict temporal path exists from every vertex u to every other vertex v. This paper studies temporal design problems for undirected temporally connected graphs. Given a connected undirected graph G, the goal is to determine the smallest total number of time-labels |λ| needed to ensure temporal connectivity, where |λ| denotes the sum, over all edges, of the size of the set of labels associated to an edge. The basic problem, called Minimum Labeling (ML) can be solved optimally in polynomial time. We introduce the Min. Aged Labeling (MAL) problem, which involves connecting the graph with an upper-bound on the maximum label, the Min. Steiner Labeling (MSL) problem, focusing on connecting specific important vertices, and the age-restricted version of MSL, Min. Aged Steiner Labeling (MASL). We show that MAL is NP-complete, MASL is W[1]-hard, and while MSL remains NP-hard, it is FPT with respect to the number of terminals.

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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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