Ioannis Mantas, Evanthia Papadopoulou, Rodrigo I. Silveira, Zeyu Wang
{"title":"平面上最远的彩色Voronoi图","authors":"Ioannis Mantas, Evanthia Papadopoulou, Rodrigo I. Silveira, Zeyu Wang","doi":"10.1007/s00453-025-01311-1","DOIUrl":null,"url":null,"abstract":"<div><p>The farthest-color Voronoi diagram (FCVD) is defined on a set of <i>n</i> points in the plane, where each point is labeled with one of <i>m</i> colors. The colored points constitute a family <span>\\(\\mathcal {P}\\)</span> of <i>m</i> clusters (sets) of points in the plane whose farthest-site Voronoi diagram is the FCVD. The diagram finds applications in problems related to facility location, shape matching, data imprecision, and others. In this paper we present structural properties of the FCVD, refine its combinatorial complexity bounds, and present efficient algorithms for its construction. We show that the complexity of the diagram is <span>\\(O(n\\alpha (m)+\\textit{str}(\\mathcal {P}))\\)</span>, where <span>\\(\\textit{str}(\\mathcal {P})\\)</span> is a parameter reflecting the number of <i>straddles</i> between pairs of clusters, which is <span>\\(O(m(n-m))\\)</span>. The bound reduces to <span>\\(O(n+ \\textit{str}(\\mathcal {P}))\\)</span> if the clusters are pairwise <i>non-crossing</i>. We also present a lower bound, establishing that the complexity of the FCVD can be <span>\\(\\Omega (n+m^2)\\)</span>, even if the clusters have pairwise disjoint convex hulls. Our algorithm runs in <span>\\(O((n+\\textit{str}(\\mathcal {P}))\\log ^3 n)\\)</span>-time, and in certain special cases in <span>\\(O(n\\log n)\\)</span> time.</p></div>","PeriodicalId":50824,"journal":{"name":"Algorithmica","volume":"87 10","pages":"1393 - 1419"},"PeriodicalIF":0.7000,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00453-025-01311-1.pdf","citationCount":"0","resultStr":"{\"title\":\"The Farthest Color Voronoi Diagram in the Plane\",\"authors\":\"Ioannis Mantas, Evanthia Papadopoulou, Rodrigo I. Silveira, Zeyu Wang\",\"doi\":\"10.1007/s00453-025-01311-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The farthest-color Voronoi diagram (FCVD) is defined on a set of <i>n</i> points in the plane, where each point is labeled with one of <i>m</i> colors. The colored points constitute a family <span>\\\\(\\\\mathcal {P}\\\\)</span> of <i>m</i> clusters (sets) of points in the plane whose farthest-site Voronoi diagram is the FCVD. The diagram finds applications in problems related to facility location, shape matching, data imprecision, and others. In this paper we present structural properties of the FCVD, refine its combinatorial complexity bounds, and present efficient algorithms for its construction. We show that the complexity of the diagram is <span>\\\\(O(n\\\\alpha (m)+\\\\textit{str}(\\\\mathcal {P}))\\\\)</span>, where <span>\\\\(\\\\textit{str}(\\\\mathcal {P})\\\\)</span> is a parameter reflecting the number of <i>straddles</i> between pairs of clusters, which is <span>\\\\(O(m(n-m))\\\\)</span>. The bound reduces to <span>\\\\(O(n+ \\\\textit{str}(\\\\mathcal {P}))\\\\)</span> if the clusters are pairwise <i>non-crossing</i>. We also present a lower bound, establishing that the complexity of the FCVD can be <span>\\\\(\\\\Omega (n+m^2)\\\\)</span>, even if the clusters have pairwise disjoint convex hulls. Our algorithm runs in <span>\\\\(O((n+\\\\textit{str}(\\\\mathcal {P}))\\\\log ^3 n)\\\\)</span>-time, and in certain special cases in <span>\\\\(O(n\\\\log n)\\\\)</span> time.</p></div>\",\"PeriodicalId\":50824,\"journal\":{\"name\":\"Algorithmica\",\"volume\":\"87 10\",\"pages\":\"1393 - 1419\"},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2025-06-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://link.springer.com/content/pdf/10.1007/s00453-025-01311-1.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Algorithmica\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s00453-025-01311-1\",\"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/s00453-025-01311-1","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}
The farthest-color Voronoi diagram (FCVD) is defined on a set of n points in the plane, where each point is labeled with one of m colors. The colored points constitute a family \(\mathcal {P}\) of m clusters (sets) of points in the plane whose farthest-site Voronoi diagram is the FCVD. The diagram finds applications in problems related to facility location, shape matching, data imprecision, and others. In this paper we present structural properties of the FCVD, refine its combinatorial complexity bounds, and present efficient algorithms for its construction. We show that the complexity of the diagram is \(O(n\alpha (m)+\textit{str}(\mathcal {P}))\), where \(\textit{str}(\mathcal {P})\) is a parameter reflecting the number of straddles between pairs of clusters, which is \(O(m(n-m))\). The bound reduces to \(O(n+ \textit{str}(\mathcal {P}))\) if the clusters are pairwise non-crossing. We also present a lower bound, establishing that the complexity of the FCVD can be \(\Omega (n+m^2)\), even if the clusters have pairwise disjoint convex hulls. Our algorithm runs in \(O((n+\textit{str}(\mathcal {P}))\log ^3 n)\)-time, and in certain special cases in \(O(n\log n)\) time.
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.