Valentin Bartier , Nicolas Bousquet , Amer E. Mouawad
{"title":"银河令牌滑动","authors":"Valentin Bartier , Nicolas Bousquet , Amer E. Mouawad","doi":"10.1016/j.jcss.2023.03.008","DOIUrl":null,"url":null,"abstract":"<div><p>Given a graph <em>G</em><span> and two independent sets </span><span><math><msub><mrow><mi>I</mi></mrow><mrow><mi>s</mi></mrow></msub></math></span> and <span><math><msub><mrow><mi>I</mi></mrow><mrow><mi>t</mi></mrow></msub></math></span> of size <em>k</em>, the <span>Independent Set Reconfiguration</span> problem asks whether there exists a sequence of independent sets that transforms <span><math><msub><mrow><mi>I</mi></mrow><mrow><mi>s</mi></mrow></msub></math></span> to <span><math><msub><mrow><mi>I</mi></mrow><mrow><mi>t</mi></mrow></msub></math></span> such that each independent set is obtained from the previous one using a so-called reconfiguration step. Viewing each independent set as a collection of <em>k</em> tokens placed on the vertices of a graph <em>G</em>, the two most studied reconfiguration steps are token jumping and token sliding. Over a series of papers, it was shown that the <span>Token Jumping</span> problem is fixed-parameter tractable (for parameter <em>k</em>) when restricted to sparse graph classes, such as planar, bounded treewidth, and nowhere dense graphs. As for the <span>Token Sliding</span> problem, almost nothing is known. We remedy this situation by showing that <span>Token Sliding</span><span> is fixed-parameter tractable on graphs of bounded degree, planar graphs<span>, and chordal graphs of bounded clique number.</span></span></p></div>","PeriodicalId":50224,"journal":{"name":"Journal of Computer and System Sciences","volume":"136 ","pages":"Pages 220-248"},"PeriodicalIF":1.1000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Galactic token sliding\",\"authors\":\"Valentin Bartier , Nicolas Bousquet , Amer E. Mouawad\",\"doi\":\"10.1016/j.jcss.2023.03.008\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Given a graph <em>G</em><span> and two independent sets </span><span><math><msub><mrow><mi>I</mi></mrow><mrow><mi>s</mi></mrow></msub></math></span> and <span><math><msub><mrow><mi>I</mi></mrow><mrow><mi>t</mi></mrow></msub></math></span> of size <em>k</em>, the <span>Independent Set Reconfiguration</span> problem asks whether there exists a sequence of independent sets that transforms <span><math><msub><mrow><mi>I</mi></mrow><mrow><mi>s</mi></mrow></msub></math></span> to <span><math><msub><mrow><mi>I</mi></mrow><mrow><mi>t</mi></mrow></msub></math></span> such that each independent set is obtained from the previous one using a so-called reconfiguration step. Viewing each independent set as a collection of <em>k</em> tokens placed on the vertices of a graph <em>G</em>, the two most studied reconfiguration steps are token jumping and token sliding. Over a series of papers, it was shown that the <span>Token Jumping</span> problem is fixed-parameter tractable (for parameter <em>k</em>) when restricted to sparse graph classes, such as planar, bounded treewidth, and nowhere dense graphs. As for the <span>Token Sliding</span> problem, almost nothing is known. We remedy this situation by showing that <span>Token Sliding</span><span> is fixed-parameter tractable on graphs of bounded degree, planar graphs<span>, and chordal graphs of bounded clique number.</span></span></p></div>\",\"PeriodicalId\":50224,\"journal\":{\"name\":\"Journal of Computer and System Sciences\",\"volume\":\"136 \",\"pages\":\"Pages 220-248\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2023-09-01\",\"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/S0022000023000375\",\"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/S0022000023000375","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}
Given a graph G and two independent sets and of size k, the Independent Set Reconfiguration problem asks whether there exists a sequence of independent sets that transforms to such that each independent set is obtained from the previous one using a so-called reconfiguration step. Viewing each independent set as a collection of k tokens placed on the vertices of a graph G, the two most studied reconfiguration steps are token jumping and token sliding. Over a series of papers, it was shown that the Token Jumping problem is fixed-parameter tractable (for parameter k) when restricted to sparse graph classes, such as planar, bounded treewidth, and nowhere dense graphs. As for the Token Sliding problem, almost nothing is known. We remedy this situation by showing that Token Sliding is fixed-parameter tractable on graphs of bounded degree, planar graphs, and chordal graphs of bounded clique number.
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.