参数化时间探索问题

IF 1.1 3区 计算机科学 Q1 BUSINESS, FINANCE
Thomas Erlebach , Jakob T. Spooner
{"title":"参数化时间探索问题","authors":"Thomas Erlebach ,&nbsp;Jakob T. Spooner","doi":"10.1016/j.jcss.2023.01.003","DOIUrl":null,"url":null,"abstract":"<div><p>We study the fixed-parameter tractability of the problem of deciding whether a given temporal graph admits a temporal walk that visits all vertices (temporal exploration) or, in some variants, a certain subset of the vertices. In the strict variant, edges must be traversed in strictly increasing timesteps; in the non-strict variant, any number of edges can be traversed in each timestep. For both variants, we give <span>FPT</span> algorithms for finding a temporal walk that visits a given set <em>X</em> of vertices, parameterised by <span><math><mo>|</mo><mi>X</mi><mo>|</mo></math></span>, and for finding a temporal walk that visits at least <em>k</em> distinct vertices, parameterised by <em>k</em>. We also show <span><math><mtext>W</mtext><mo>[</mo><mn>2</mn><mo>]</mo></math></span>-hardness for a set version of temporal exploration. For the non-strict variant, we give an <span>FPT</span> algorithm for temporal exploration parameterised by the lifetime, and show that temporal exploration can be solved in polynomial time if the graph in each timestep has at most two connected components.</p></div>","PeriodicalId":50224,"journal":{"name":"Journal of Computer and System Sciences","volume":"135 ","pages":"Pages 73-88"},"PeriodicalIF":1.1000,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Parameterised temporal exploration problems\",\"authors\":\"Thomas Erlebach ,&nbsp;Jakob T. Spooner\",\"doi\":\"10.1016/j.jcss.2023.01.003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>We study the fixed-parameter tractability of the problem of deciding whether a given temporal graph admits a temporal walk that visits all vertices (temporal exploration) or, in some variants, a certain subset of the vertices. In the strict variant, edges must be traversed in strictly increasing timesteps; in the non-strict variant, any number of edges can be traversed in each timestep. For both variants, we give <span>FPT</span> algorithms for finding a temporal walk that visits a given set <em>X</em> of vertices, parameterised by <span><math><mo>|</mo><mi>X</mi><mo>|</mo></math></span>, and for finding a temporal walk that visits at least <em>k</em> distinct vertices, parameterised by <em>k</em>. We also show <span><math><mtext>W</mtext><mo>[</mo><mn>2</mn><mo>]</mo></math></span>-hardness for a set version of temporal exploration. For the non-strict variant, we give an <span>FPT</span> algorithm for temporal exploration parameterised by the lifetime, and show that temporal exploration can be solved in polynomial time if the graph in each timestep has at most two connected components.</p></div>\",\"PeriodicalId\":50224,\"journal\":{\"name\":\"Journal of Computer and System Sciences\",\"volume\":\"135 \",\"pages\":\"Pages 73-88\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2023-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Computer and System Sciences\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0022000023000107\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computer and System Sciences","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0022000023000107","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0

摘要

我们研究了决定给定时间图是否允许访问所有顶点的时间行走(时间探索),或者在某些变体中,是否允许访问顶点的某个子集的问题的固定参数可处理性。在严格变体中,必须以严格增加的时间步长遍历边;在非严格变体中,在每个时间步长中可以遍历任意数量的边。对于这两种变体,我们给出了FPT算法,用于寻找访问给定顶点集X的时间行走,用|X|参数化,以及用于寻找访问至少k个不同顶点的时间行走(用k参数化)。我们还展示了时间探索的集合版本的W[2]硬度。对于非严格变量,我们给出了一个由寿命参数化的时间探索的FPT算法,并证明如果每个时间步长中的图最多有两个连通分量,则时间探索可以在多项式时间内求解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Parameterised temporal exploration problems

We study the fixed-parameter tractability of the problem of deciding whether a given temporal graph admits a temporal walk that visits all vertices (temporal exploration) or, in some variants, a certain subset of the vertices. In the strict variant, edges must be traversed in strictly increasing timesteps; in the non-strict variant, any number of edges can be traversed in each timestep. For both variants, we give FPT algorithms for finding a temporal walk that visits a given set X of vertices, parameterised by |X|, and for finding a temporal walk that visits at least k distinct vertices, parameterised by k. We also show W[2]-hardness for a set version of temporal exploration. For the non-strict variant, we give an FPT algorithm for temporal exploration parameterised by the lifetime, and show that temporal exploration can be solved in polynomial time if the graph in each timestep has at most two connected components.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Computer and System Sciences
Journal of Computer and System Sciences 工程技术-计算机:理论方法
CiteScore
3.70
自引率
0.00%
发文量
58
审稿时长
68 days
期刊介绍: The Journal of Computer and System Sciences publishes original research papers in computer science and related subjects in system science, with attention to the relevant mathematical theory. Applications-oriented papers may also be accepted and they are expected to contain deep analytic evaluation of the proposed solutions. Research areas include traditional subjects such as: • Theory of algorithms and computability • Formal languages • Automata theory Contemporary subjects such as: • Complexity theory • Algorithmic Complexity • Parallel & distributed computing • Computer networks • Neural networks • Computational learning theory • Database theory & practice • Computer modeling of complex systems • Security and Privacy.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信