{"title":"Faster parameterized algorithms for variants of 3-Hitting Set","authors":"Dekel Tsur","doi":"10.1007/s10878-025-01300-8","DOIUrl":null,"url":null,"abstract":"<p>In the <i>A</i><span>-Multi</span>3<span>-Hitting Set</span> problem (<i>A</i>-M3HS), where <span>\\(A \\subseteq \\{1,2,3\\}\\)</span>, the input is a hypergraph <i>G</i> in which the hyperedges have sizes at most 3 and an integer <i>k</i>, and the goal is to decide if there is a set <i>S</i> of at most <i>k</i> vertices such that <span>\\(|S \\cap e| \\in A\\)</span> for every hyperedge <i>e</i>. In this paper we give <span>\\(O^*(2.027^k)\\)</span>-time algorithms for <span>\\(\\{1\\}\\)</span>-M3HS and <span>\\(\\{1,3\\}\\)</span>-M3HS, and an <span>\\(O^*(1.381^k)\\)</span>-time algorithm for <span>\\(\\{2\\}\\)</span>-M3HS.</p>","PeriodicalId":50231,"journal":{"name":"Journal of Combinatorial Optimization","volume":"49 1","pages":""},"PeriodicalIF":0.9000,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Combinatorial Optimization","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1007/s10878-025-01300-8","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
In the A-Multi3-Hitting Set problem (A-M3HS), where \(A \subseteq \{1,2,3\}\), the input is a hypergraph G in which the hyperedges have sizes at most 3 and an integer k, and the goal is to decide if there is a set S of at most k vertices such that \(|S \cap e| \in A\) for every hyperedge e. In this paper we give \(O^*(2.027^k)\)-time algorithms for \(\{1\}\)-M3HS and \(\{1,3\}\)-M3HS, and an \(O^*(1.381^k)\)-time algorithm for \(\{2\}\)-M3HS.
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.