一种改进的用$$4^+$$ -paths覆盖顶点的近似算法

IF 0.9 4区 数学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Mingyang Gong, Zhi-Zhong Chen, Guohui Lin, Lusheng Wang
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引用次数: 0

摘要

路径覆盖是备受关注的np困难问题之一。在本文中,我们研究了路径覆盖的一种变体,用\(\hbox {MPC}^{{4}+}_v\)表示,通过顶点不相交的四阶或以上路径的集合来覆盖给定图\(G = (V, E)\)中尽可能多的顶点。该问题允许现有的\(O(|V|^8)\) -time - 2近似算法通过应用几个耗时的局部改进操作(Gong等人:MFCS Proceedings of 2022, LIPIcs 241, pp 53:1-53:14, 2022)。相比之下,我们的新算法使用了一种完全不同的方法,它是一种改进的\(O(\min \{|E|^2|V|^2, |V|^5\})\) -time 1.874近似算法,它肯定地回答了Gong et al.(2022)中的开放性问题。导致改进的一个重要观察结果是,与\(\hbox {MPC}^{{4}+}_v\)的最优解相比,最大匹配M (G)中的顶点数量相对较大。我们的新算法通过在辅助图中计算最大权值的路径循环覆盖来连接M中尽可能多的边,从而从最大匹配M中形成\(\hbox {MPC}^{{4}+}_v\)的可行解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An improved approximation algorithm for covering vertices by $$4^+$$ -paths

Path cover is one of the well-known NP-hard problems that has received much attention. In this paper, we study a variant of path cover, denoted by \(\hbox {MPC}^{{4}+}_v\), to cover as many vertices in a given graph \(G = (V, E)\) as possible by a collection of vertex-disjoint paths each of order four or above. The problem admits an existing \(O(|V|^8)\)-time 2-approximation algorithm by applying several time-consuming local improvement operations (Gong et al.: Proceedings of MFCS 2022, LIPIcs 241, pp 53:1–53:14, 2022). In contrast, our new algorithm uses a completely different method and it is an improved \(O(\min \{|E|^2|V|^2, |V|^5\})\)-time 1.874-approximation algorithm, which answers the open question in Gong et al. (2022) in the affirmative. An important observation leading to the improvement is that the number of vertices in a maximum matching M of G is relatively large compared to that in an optimal solution of \(\hbox {MPC}^{{4}+}_v\). Our new algorithm forms a feasible solution of \(\hbox {MPC}^{{4}+}_v\) from a maximum matching M by computing a maximum-weight path-cycle cover in an auxiliary graph to connect as many edges in M as possible.

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来源期刊
Journal of Combinatorial Optimization
Journal of Combinatorial Optimization 数学-计算机:跨学科应用
CiteScore
2.00
自引率
10.00%
发文量
83
审稿时长
6 months
期刊介绍: The objective of Journal of Combinatorial Optimization is to advance and promote the theory and applications of combinatorial optimization, which is an area of research at the intersection of applied mathematics, computer science, and operations research and which overlaps with many other areas such as computation complexity, computational biology, VLSI design, communication networks, and management science. It includes complexity analysis and algorithm design for combinatorial optimization problems, numerical experiments and problem discovery with applications in science and engineering. The Journal of Combinatorial Optimization publishes refereed papers dealing with all theoretical, computational and applied aspects of combinatorial optimization. It also publishes reviews of appropriate books and special issues of journals.
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