More dynamic data structures for geometric set cover with sublinear update time

Timothy M. Chan, Qizheng He

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We study geometric set cover problems in dynamic settings, allowing insertions and deletions of points and objects. We present the first dynamic data structure that can maintain an O(1)-approximation in sublinear update time for set cover for axis-aligned squares in 2D. More precisely, we obtain randomized update time O(n2/3+δ) for an arbitrarily small constant δ > 0. Previously, a dynamic geometric set cover data structure with sublinear update time was known only for unit squares by Agarwal, Chang, Suri, Xiao, and Xue [SoCG 2020]. If only an approximate size of the solution is needed, then we can also obtain sublinear amortized update time for disks in 2D and halfspaces in 3D. As a byproduct, our techniques for dynamic set cover also yield an optimal randomized O(n log n)-time algorithm for static set cover for 2D disks and 3D halfspaces, improving our earlier O(n log n(log log n)O(1)) result [SoCG 2020].

Original languageEnglish (US)
Title of host publication37th International Symposium on Computational Geometry, SoCG 2021
EditorsKevin Buchin, Eric Colin de Verdiere
PublisherSchloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
ISBN (Electronic)9783959771849
DOIs
StatePublished - Jun 1 2021
Event37th International Symposium on Computational Geometry, SoCG 2021 - Virtual, Buffalo, United States
Duration: Jun 7 2021Jun 11 2021

Publication series

NameLeibniz International Proceedings in Informatics, LIPIcs
Volume189
ISSN (Print)1868-8969

Conference

Conference37th International Symposium on Computational Geometry, SoCG 2021
Country/TerritoryUnited States
CityVirtual, Buffalo
Period6/7/216/11/21

Keywords

  • Approximation algorithms
  • Dynamic data structures
  • Geometric set cover
  • Random sampling
  • Sublinear algorithms

ASJC Scopus subject areas

  • Software

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