单环图上在线图探索问题的改进上界

IF 0.9 4区 数学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Combinatorial Optimization Pub Date : 2024-07-29 DOI:10.1007/s10878-024-01192-0
Koji M. Kobayashi, Ying Li
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引用次数: 0

摘要

在线图探索问题由 Kalyanasundaram 和 Pruhs 提出(Theor Comput Sci 130(1):125-138, 1994),其定义如下:给定一个有边无向连接图和一个指定顶点(称为原点),算法的任务是计算一条从原点到原点的路径,这条路径包含给定图中的所有顶点。问题的目标是找到这样一条权重最小的路径。在线算法每次只知道边的权重,而每条边都由访问过的顶点或与访问顶点相邻的顶点组成。Fritsch (Inform Process Lett 168:1006096, 2021)指出,对于任何单环图,在线算法的竞争比最多为 3。另一方面,Brandt 等人(Theor Comput Sci 839:176-185,2020)证明了任何单环图的竞争率下限为 2。在本文中,我们证明了对于任何单环图,在线算法的竞争比最多为 5/2。
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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An improved upper bound for the online graph exploration problem on unicyclic graphs

The online graph exploration problem, which was proposed by Kalyanasundaram and Pruhs (Theor Comput Sci 130(1):125–138, 1994), is defined as follows: Given an edge-weighted undirected connected graph and a specified vertex (called the origin), the task of an algorithm is to compute a path from the origin to the origin which contains all the vertices of the given graph. The goal of the problem is to find such a path of minimum weight. At each time, an online algorithm knows only the weights of edges each of which consists of visited vertices or vertices adjacent to visited vertices. Fritsch (Inform Process Lett 168:1006096, 2021) showed that the competitive ratio of an online algorithm is at most three for any unicyclic graph. On the other hand, Brandt et al. (Theor Comput Sci 839:176–185, 2020) showed a lower bound of two on the competitive ratio for any unicyclic graph. In this paper, we showed the competitive ratio of an online algorithm is at most 5/2 for any unicyclic graph.

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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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