Improved time-space trade-offs for computin Voronoi diagrams

Bahareh Banyassady, Matias Korman, Wolfgang Mulzer, André Van Renssen, Marcel Roeloffzen, Paul Seiferth, Yannik Stein

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

5 Citations (Scopus)


Let P be a planar n-point set in general position. For k ∈ {1,⋯, n - 1}, the Voronoi diagram of order k is obtained by subdividing the plane into regions such that points in the same cell have the same set of nearest k neighbors in P. The (nearest point) Voronoi diagram (NVD) and the farthest point Voronoi diagram (FVD) are the particular cases of k = 1 and k = n - 1, respectively. It is known that the family of all higher-order Voronoi diagrams of order 1 to K for P can be computed in total time O(nK2 + n log n) using O(K2(n - K)) space. Also NVD and FVD can be computed in O (n log n) time using O(n) space. For s ∈ {1,⋯, n}, an s-workspace algorithm has random access to a read-only array with the sites of P in arbitrary order. Additionally, the algorithm may use O(s) words of Θ(logn) bits each for reading and writing intermediate data. The output can be written only once and cannot be accessed afterwards. We describe a deterministic s-workspace algorithm for computing an NVD and also an FVD for P that runs in O((n2/s) logs) time. Moreover, we generalize our s-workspace algorithm for computing the family of all higher-order Voronoi diagrams of P up to order K ∈ O(√s) in total time O(n2K6/s log1+ϵ K · (logs/logK)O(1)), for any fixed ϵ > 0. Previously, for Voronoi diagrams, the only known s-workspace algorithm was to find an NVD for P in expected time O((n2/s) log s + n log s log s). Unlike the previous algorithm, our new method is very simple and does not rely on advanced data structures or random sampling techniques.

Original languageEnglish
Title of host publication34th Symposium on Theoretical Aspects of Computer Science, STACS 2017
EditorsBrigitte Vallee, Heribert Vollmer
PublisherSchloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
ISBN (Electronic)9783959770286
Publication statusPublished - 2017 Mar 1
Event34th Symposium on Theoretical Aspects of Computer Science, STACS 2017 - Hannover, Germany
Duration: 2017 Mar 82017 Mar 11

Publication series

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


Other34th Symposium on Theoretical Aspects of Computer Science, STACS 2017


  • Memory-constrained model
  • Time-space trade-off
  • Voronoi diagram

ASJC Scopus subject areas

  • Software


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