有向时间图中的最短行程

IF 0.6 4区 计算机科学 Q4 COMPUTER SCIENCE, THEORY & METHODS International Journal of Foundations of Computer Science Pub Date : 2023-05-23 DOI:10.1142/s0129054123420030
Siu-Wing Cheng
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引用次数: 0

摘要

考虑一个有向时间图[公式:见文本],边缘上有时间范围。一条边上可以有多个范围,每个范围的遍历时间都是正的。设[公式:见文]和[公式:见文]为[公式:见文]中时间范围的总数。我们假设[公式:见文本]。我们研究了在给定的时间间隔内从一个固定的源顶点(公式:见文)出发的最短旅程的计算问题,其中旅程的成本等于在穿越这些边的次数上的遍历次数的总和。我们可以在[公式:见文]时间中构造一个大小为[公式:见文]的数据结构,这样,对于任何顶点[公式:见文]和任何时间[公式:见文],我们都可以在[公式:见文]时间中报告从[公式:见文]在[公式:见文]中出发,不晚于[公式:见文]到达[公式:见文]的最短路程的成本。达到报告成本的旅程可以在其复杂性上产生时间线性。
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Shortest Journeys in Directed Temporal Graphs
Consider a directed temporal graph [Formula: see text] with time ranges on the edges. There can be more than one range on an edge, and each range carries a positive traversal time. Let [Formula: see text] and let [Formula: see text] be the total number of time ranges in [Formula: see text]. We assume that [Formula: see text]. We study the problem of computing shortest journeys that start from a fixed source vertex [Formula: see text] within a given time interval [Formula: see text], where the cost of a journey is equal to the sum of traversal times of the edges on it at the times of crossing those edges. We can construct in [Formula: see text] time a data structure of size [Formula: see text] such that for any vertex [Formula: see text] and any time [Formula: see text], we can report in [Formula: see text] time the cost of the shortest journey that starts from [Formula: see text] within [Formula: see text] and arrives at [Formula: see text] no later than [Formula: see text]. The journey achieving the reported cost can be produced in time linear in its complexity.
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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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