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  • 标题:Maximizing Covered Area in the Euclidean Plane with Connectivity Constraint
  • 本地全文:下载
  • 作者:Chien-Chung Huang ; Mathieu Mari ; Claire Mathieu
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2019
  • 卷号:145
  • 页码:1-21
  • DOI:10.4230/LIPIcs.APPROX-RANDOM.2019.32
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:Given a set D of n unit disks in the plane and an integer k <= n, the maximum area connected subset problem asks for a set D' subseteq D of size k that maximizes the area of the union of disks, under the constraint that this union is connected. This problem is motivated by wireless router deployment and is a special case of maximizing a submodular function under a connectivity constraint. We prove that the problem is NP-hard and analyze a greedy algorithm, proving that it is a 1/2-approximation. We then give a polynomial-time approximation scheme (PTAS) for this problem with resource augmentation, i.e., allowing an additional set of epsilon k disks that are not drawn from the input. Additionally, for two special cases of the problem we design a PTAS without resource augmentation.
  • 关键词:approximation algorithm; submodular function optimisation; unit disk graph; connectivity constraint
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