Approximating Minimum k-Tree Cover of a Connected Graph Inspired by the Multi-Ferry Routing in Delay Tolerant Networks

IF 0.6 4区 计算机科学 Q4 COMPUTER SCIENCE, THEORY & METHODS International Journal of Foundations of Computer Science Pub Date : 2023-11-16 DOI:10.1142/s0129054123500235
Fujita Satoshi
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Abstract

In this paper, we consider the problem of covering the vertex set of a given graph by [Formula: see text] trees so as to minimize the maximum weight of the trees, as a subproblem of the multi-ferry scheduling problem proposed by Zhao and Ammar. After pointing out that the approximation ratio of a greedy scheme based on the Kruskal’s algorithm is provably bad, we show that the approximation ratio cannot be better than 3/2 for [Formula: see text] even when the edge selection criterion is modified so as to minimize the increase in the maximum weight in the collection of trees. We then propose two polynomial-time algorithms with a guaranteed approximation ratio. The first algorithm achieves 3-approximation for the class of graphs in which the edge weights satisfy the triangle inequality. The second algorithm achieves 4-approximation for any connected graph with arbitrary edge weights.
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以容错网络中的多渡轮路由为启发逼近连通图的最小 k 树覆盖率
在本文中,我们将赵和阿玛尔提出的多渡轮调度问题的一个子问题--用[公式:见正文]树覆盖给定图的顶点集以便使树的最大权重最小化--视为问题。在指出基于 Kruskal 算法的贪婪方案的近似率很差之后,我们证明了即使修改边选择标准以最小化树集合中最大权重的增加,[公式:见正文] 的近似率也不会优于 3/2。然后,我们提出了两种保证近似率的多项式时间算法。对于边权重满足三角形不等式的图类,第一种算法可实现 3 近似值。第二种算法对任意边权重的任何连通图都能达到 4 近似值。
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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来源期刊
International Journal of Foundations of Computer Science
International Journal of Foundations of Computer Science 工程技术-计算机:理论方法
CiteScore
1.60
自引率
12.50%
发文量
63
审稿时长
3 months
期刊介绍: The International Journal of Foundations of Computer Science is a bimonthly journal that publishes articles which contribute new theoretical results in all areas of the foundations of computer science. The theoretical and mathematical aspects covered include: - Algebraic theory of computing and formal systems - Algorithm and system implementation issues - Approximation, probabilistic, and randomized algorithms - Automata and formal languages - Automated deduction - Combinatorics and graph theory - Complexity theory - Computational biology and bioinformatics - Cryptography - Database theory - Data structures - Design and analysis of algorithms - DNA computing - Foundations of computer security - Foundations of high-performance computing
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