文章基本信息

标题：Dynamic Approximate Maximum Independent Set of Intervals, Hypercubes and Hyperrectangles
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作者：Monika Henzinger ; Stefan Neumann ; Andreas Wiese 等
期刊名称：LIPIcs : Leibniz International Proceedings in Informatics
电子版ISSN：1868-8969
出版年度：2020
卷号：164
页码：51:1-51:14
DOI：10.4230/LIPIcs.SoCG.2020.51
出版社：Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
摘要：Independent set is a fundamental problem in combinatorial optimization. While in general graphs the problem is essentially inapproximable, for many important graph classes there are approximation algorithms known in the offline setting. These graph classes include interval graphs and geometric intersection graphs, where vertices correspond to intervals/geometric objects and an edge indicates that the two corresponding objects intersect. We present dynamic approximation algorithms for independent set of intervals, hypercubes and hyperrectangles in d dimensions. They work in the fully dynamic model where each update inserts or deletes a geometric object. All our algorithms are deterministic and have worst-case update times that are polylogarithmic for constant d and Îµ>0, assuming that the coordinates of all input objects are in [0, N]^d and each of their edges has length at least 1. We obtain the following results: - For weighted intervals, we maintain a (1+Îµ)-approximate solution. - For d-dimensional hypercubes we maintain a (1+Îµ)2^d-approximate solution in the unweighted case and a O(2^d)-approximate solution in the weighted case. Also, we show that for maintaining an unweighted (1+Îµ)-approximate solution one needs polynomial update time for d â¥ 2 if the ETH holds. - For weighted d-dimensional hyperrectangles we present a dynamic algorithm with approximation ratio (1+Îµ)log^{d-1}N.
关键词：Dynamic algorithms; independent set; approximation algorithms; interval graphs; geometric intersection graphs