{"title":"由Treewidth参数化的弦/间隔顶点删除紧边界","authors":"Michał Włodarczyk","doi":"10.1007/s00453-025-01293-0","DOIUrl":null,"url":null,"abstract":"<div><p>In Chordal/Interval Vertex Deletion we ask how many vertices one needs to remove from a graph to make it chordal (respectively: interval). We study these problems under the parameterization by treewidth <span>\\(\\textbf{tw}\\)</span> of the input graph <i>G</i>. On the one hand, we present an algorithm for Chordal Vertex Deletion with running time <span>\\(2^{\\mathcal {O}(\\textbf{tw})} \\cdot |V(G)|\\)</span>, improving upon the running time <span>\\(2^{\\mathcal {O}(\\textbf{tw}^2)} \\cdot |V(G)|^{\\mathcal {O}(1)}\\)</span> by Jansen, de Kroon, and Włodarczyk (STOC’21). When a tree decomposition of width <span>\\(\\textbf{tw}\\)</span> is given, then the base of the exponent equals <span>\\(2^{\\omega -1}\\cdot 3 + 1\\)</span>. Our algorithm is based on a novel link between chordal graphs and graphic matroids, which allows us to employ the framework of representative families. On the other hand, we prove that Interval Vertex Deletion cannot be solved in time <span>\\(2^{o(\\textbf{tw}\\log \\textbf{tw})} \\cdot |V(G)|^{\\mathcal {O}(1)}\\)</span> assuming the Exponential Time Hypothesis.</p></div>","PeriodicalId":50824,"journal":{"name":"Algorithmica","volume":"87 5","pages":"621 - 660"},"PeriodicalIF":0.9000,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Tight Bounds for Chordal/Interval Vertex Deletion Parameterized by Treewidth\",\"authors\":\"Michał Włodarczyk\",\"doi\":\"10.1007/s00453-025-01293-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In Chordal/Interval Vertex Deletion we ask how many vertices one needs to remove from a graph to make it chordal (respectively: interval). We study these problems under the parameterization by treewidth <span>\\\\(\\\\textbf{tw}\\\\)</span> of the input graph <i>G</i>. On the one hand, we present an algorithm for Chordal Vertex Deletion with running time <span>\\\\(2^{\\\\mathcal {O}(\\\\textbf{tw})} \\\\cdot |V(G)|\\\\)</span>, improving upon the running time <span>\\\\(2^{\\\\mathcal {O}(\\\\textbf{tw}^2)} \\\\cdot |V(G)|^{\\\\mathcal {O}(1)}\\\\)</span> by Jansen, de Kroon, and Włodarczyk (STOC’21). When a tree decomposition of width <span>\\\\(\\\\textbf{tw}\\\\)</span> is given, then the base of the exponent equals <span>\\\\(2^{\\\\omega -1}\\\\cdot 3 + 1\\\\)</span>. Our algorithm is based on a novel link between chordal graphs and graphic matroids, which allows us to employ the framework of representative families. On the other hand, we prove that Interval Vertex Deletion cannot be solved in time <span>\\\\(2^{o(\\\\textbf{tw}\\\\log \\\\textbf{tw})} \\\\cdot |V(G)|^{\\\\mathcal {O}(1)}\\\\)</span> assuming the Exponential Time Hypothesis.</p></div>\",\"PeriodicalId\":50824,\"journal\":{\"name\":\"Algorithmica\",\"volume\":\"87 5\",\"pages\":\"621 - 660\"},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2025-01-29\",\"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/s00453-025-01293-0\",\"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/s00453-025-01293-0","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}
Tight Bounds for Chordal/Interval Vertex Deletion Parameterized by Treewidth
In Chordal/Interval Vertex Deletion we ask how many vertices one needs to remove from a graph to make it chordal (respectively: interval). We study these problems under the parameterization by treewidth \(\textbf{tw}\) of the input graph G. On the one hand, we present an algorithm for Chordal Vertex Deletion with running time \(2^{\mathcal {O}(\textbf{tw})} \cdot |V(G)|\), improving upon the running time \(2^{\mathcal {O}(\textbf{tw}^2)} \cdot |V(G)|^{\mathcal {O}(1)}\) by Jansen, de Kroon, and Włodarczyk (STOC’21). When a tree decomposition of width \(\textbf{tw}\) is given, then the base of the exponent equals \(2^{\omega -1}\cdot 3 + 1\). Our algorithm is based on a novel link between chordal graphs and graphic matroids, which allows us to employ the framework of representative families. On the other hand, we prove that Interval Vertex Deletion cannot be solved in time \(2^{o(\textbf{tw}\log \textbf{tw})} \cdot |V(G)|^{\mathcal {O}(1)}\) assuming the Exponential Time Hypothesis.
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.