{"title":"论无害集问题的结构参数化","authors":"Ajinkya Gaikwad, Soumen Maity","doi":"10.1007/s00453-023-01199-9","DOIUrl":null,"url":null,"abstract":"<div><p>In this paper, we study the <span>Harmless Set</span> problem from a parameterized complexity perspective. Given a graph <span>\\(G = (V,E)\\)</span>, a threshold function<span>\\(~t~:~ V \\rightarrow {\\mathbb {N}}\\)</span> and an integer <i>k</i>, we study <span>Harmless Set</span>, where the goal is to find a subset of vertices <span>\\(S \\subseteq V\\)</span> of size at least <i>k</i> such that every vertex <span>\\(v\\in V\\)</span> has fewer than <i>t</i>(<i>v</i>) neighbours in <i>S</i>. On the positive side, we obtain fixed-parameter algorithms for the problem when parameterized by the neighbourhood diversity, the twin-cover number and the vertex integrity of the input graph. We complement two of these results from the negative side. On dense graphs, we show that the problem is W[1]-hard parameterized by cluster vertex deletion number—a natural generalization of the twin-cover number. We show that the problem is W[1]-hard parameterized by a wide range of fairly restrictive structural parameters such as the feedback vertex set number, pathwidth, and treedepth—a natural generalization of the vertex integrity. We thereby resolve one open question stated by Bazgan and Chopin (Discrete Optim 14(C):170–182, 2014) concerning the complexity of <span>Harmless Set</span> parameterized by the treewidth of the input graph. We also show that <span>Harmless Set</span> for a special case where each vertex has the threshold set to half of its degree (the so-called <span>Majority Harmless Set</span> problem) is W[1]-hard when parameterized by the treewidth of the input graph. Given a graph <i>G</i> and an irredundant <i>c</i>-expression of <i>G</i>, we prove that <span>Harmless Set</span> can be solved in XP-time when parameterized by clique-width.</p></div>","PeriodicalId":50824,"journal":{"name":"Algorithmica","volume":"86 5","pages":"1475 - 1511"},"PeriodicalIF":0.9000,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On Structural Parameterizations of the Harmless Set Problem\",\"authors\":\"Ajinkya Gaikwad, Soumen Maity\",\"doi\":\"10.1007/s00453-023-01199-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In this paper, we study the <span>Harmless Set</span> problem from a parameterized complexity perspective. Given a graph <span>\\\\(G = (V,E)\\\\)</span>, a threshold function<span>\\\\(~t~:~ V \\\\rightarrow {\\\\mathbb {N}}\\\\)</span> and an integer <i>k</i>, we study <span>Harmless Set</span>, where the goal is to find a subset of vertices <span>\\\\(S \\\\subseteq V\\\\)</span> of size at least <i>k</i> such that every vertex <span>\\\\(v\\\\in V\\\\)</span> has fewer than <i>t</i>(<i>v</i>) neighbours in <i>S</i>. On the positive side, we obtain fixed-parameter algorithms for the problem when parameterized by the neighbourhood diversity, the twin-cover number and the vertex integrity of the input graph. We complement two of these results from the negative side. On dense graphs, we show that the problem is W[1]-hard parameterized by cluster vertex deletion number—a natural generalization of the twin-cover number. We show that the problem is W[1]-hard parameterized by a wide range of fairly restrictive structural parameters such as the feedback vertex set number, pathwidth, and treedepth—a natural generalization of the vertex integrity. We thereby resolve one open question stated by Bazgan and Chopin (Discrete Optim 14(C):170–182, 2014) concerning the complexity of <span>Harmless Set</span> parameterized by the treewidth of the input graph. We also show that <span>Harmless Set</span> for a special case where each vertex has the threshold set to half of its degree (the so-called <span>Majority Harmless Set</span> problem) is W[1]-hard when parameterized by the treewidth of the input graph. Given a graph <i>G</i> and an irredundant <i>c</i>-expression of <i>G</i>, we prove that <span>Harmless Set</span> can be solved in XP-time when parameterized by clique-width.</p></div>\",\"PeriodicalId\":50824,\"journal\":{\"name\":\"Algorithmica\",\"volume\":\"86 5\",\"pages\":\"1475 - 1511\"},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2024-01-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Algorithmica\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s00453-023-01199-9\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, SOFTWARE ENGINEERING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Algorithmica","FirstCategoryId":"94","ListUrlMain":"https://link.springer.com/article/10.1007/s00453-023-01199-9","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 0
摘要
在本文中,我们从参数化复杂性的角度来研究无损集问题。给定一个图(G = (V,E))、一个阈值函数(~t~:~ V \rightarrow {\mathbb {N}}\ )和一个整数 k,我们研究无害集问题,其目标是找到一个大小至少为 k 的顶点子集(S \subseteq V\ ),使得每个顶点 \(v\in V\) 在 S 中的邻居少于 t(v)。从积极的一面来看,当以邻域多样性、孪生覆盖数和输入图的顶点完整性为参数时,我们得到了该问题的固定参数算法。我们从反面补充了其中两个结果。在稠密图上,我们证明了以簇顶点删除数--孪生覆盖数的自然概括--为参数的问题是 W[1]-hard 的。我们证明,以反馈顶点集数、路径宽度和树深度等一系列相当严格的结构参数为参数,该问题的难度为 W[1]-ard--顶点完整性的自然概括。因此,我们解决了 Bazgan 和 Chopin(《离散优化》14(C):170-182, 2014)提出的一个未决问题,即以输入图的树宽为参数的 Harmless Set 复杂性。我们还证明,当以输入图的树宽为参数时,对于每个顶点的阈值设为其度的一半的特殊情况(即所谓的多数无害集问题),无害集的复杂度为 W[1]-hard。给定一个图 G 和 G 的一个非冗余 c 表达式,我们证明当以簇宽为参数时,无害集问题可以在 XP 时间内求解。
On Structural Parameterizations of the Harmless Set Problem
In this paper, we study the Harmless Set problem from a parameterized complexity perspective. Given a graph \(G = (V,E)\), a threshold function\(~t~:~ V \rightarrow {\mathbb {N}}\) and an integer k, we study Harmless Set, where the goal is to find a subset of vertices \(S \subseteq V\) of size at least k such that every vertex \(v\in V\) has fewer than t(v) neighbours in S. On the positive side, we obtain fixed-parameter algorithms for the problem when parameterized by the neighbourhood diversity, the twin-cover number and the vertex integrity of the input graph. We complement two of these results from the negative side. On dense graphs, we show that the problem is W[1]-hard parameterized by cluster vertex deletion number—a natural generalization of the twin-cover number. We show that the problem is W[1]-hard parameterized by a wide range of fairly restrictive structural parameters such as the feedback vertex set number, pathwidth, and treedepth—a natural generalization of the vertex integrity. We thereby resolve one open question stated by Bazgan and Chopin (Discrete Optim 14(C):170–182, 2014) concerning the complexity of Harmless Set parameterized by the treewidth of the input graph. We also show that Harmless Set for a special case where each vertex has the threshold set to half of its degree (the so-called Majority Harmless Set problem) is W[1]-hard when parameterized by the treewidth of the input graph. Given a graph G and an irredundant c-expression of G, we prove that Harmless Set can be solved in XP-time when parameterized by clique-width.
期刊介绍:
Algorithmica is an international journal which publishes theoretical papers on algorithms that address problems arising in practical areas, and experimental papers of general appeal for practical importance or techniques. The development of algorithms is an integral part of computer science. The increasing complexity and scope of computer applications makes the design of efficient algorithms essential.
Algorithmica covers algorithms in applied areas such as: VLSI, distributed computing, parallel processing, automated design, robotics, graphics, data base design, software tools, as well as algorithms in fundamental areas such as sorting, searching, data structures, computational geometry, and linear programming.
In addition, the journal features two special sections: Application Experience, presenting findings obtained from applications of theoretical results to practical situations, and Problems, offering short papers presenting problems on selected topics of computer science.