无爪立方图中的最大三星堆积问题

IF 0.9 4区 数学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Combinatorial Optimization Pub Date : 2024-05-18 DOI:10.1007/s10878-024-01115-z
Wenying Xi, Wensong Lin
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引用次数: 0

摘要

三星图是一个完整的双方形图(K_{1,3}\)。图 G 的三星堆积是 G 的顶点相交子图的集合,其中每个子图都是三星图。最大三星堆积问题就是为给定的图找到一个拥有最多三星的三星堆积。图 G 的 2-independent 集是 V(G) 的子集 S,对于每一对顶点 \(u,v\in S\) ,u 和 v 之间的路径长度都至少为 3。在立方图中,最大三星堆积问题等价于最大 2-independent 集问题。最大 2-independent set 问题在立方图上被证明是 NP-hard(Kong 和 Zhao,载于 Congressus Numerantium 143:65-80, 2000),立方图最大 2-independent set 问题的最佳近似算法的近似率为 \(\frac{8}{15}\)(Miyano 等,载于 WALCOM 2017,论文集,第 228-240 页)。本文首先证明了无爪立方图中的最大三星打包问题是 NP-hard,然后设计了一种线性时间算法,可以找到一个连通的无爪立方图 G 的三星打包,至少覆盖 \(\frac{3v(G)-8}{4}\) 个顶点,其中 v(G) 表示 G 的顶点数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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The maximum 3-star packing problem in claw-free cubic graphs

A 3-star is a complete bipartite graph \(K_{1,3}\). A 3-star packing of a graph G is a collection of vertex-disjoint subgraphs of G in which each subgraph is a 3-star. The maximum 3-star packing problem is to find a 3-star packing of a given graph with the maximum number of 3-stars. A 2-independent set of a graph G is a subset S of V(G) such that for each pair of vertices \(u,v\in S\), paths between u and v are all of length at least 3. In cubic graphs, the maximum 3-star packing problem is equivalent to the maximum 2-independent set problem. The maximum 2-independent set problem was proved to be NP-hard on cubic graphs (Kong and Zhao in Congressus Numerantium 143:65–80, 2000), and the best approximation algorithm of maximum 2-independent set problem for cubic graphs has approximation ratio \(\frac{8}{15}\) (Miyano et al. in WALCOM 2017, Proceedings, pp 228–240). In this paper, we first prove that the maximum 3-star packing problem is NP-hard in claw-free cubic graphs and then design a linear-time algorithm which can find a 3-star packing of a connected claw-free cubic graph G covering at least \(\frac{3v(G)-8}{4}\) vertices, where v(G) denotes the number of vertices of G.

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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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