Computing Largest Subsets of Points Whose Convex Hulls Have Bounded Area and Diameter

  • Gianmarco Picarella*
  • , Marc van Kreveld*
  • , Frank Staals*
  • , Sjoerd de Vries*
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

We study the problem of computing a convex region with bounded area and diameter that contains the maximum number of points from a given point set P. We show that this problem can be solved in O(n6k) time and O(n3k) space, where n is the size of P and k is the maximum number of points in the found region. We experimentally compare this new algorithm with an existing algorithm that does the same but without the diameter constraint, which runs in O(n3k) time. For the new algorithm, we use different diameters. We use both synthetic data and data from an application in cancer detection, which motivated our research.

Original languageEnglish
Title of host publication33rd Annual European Symposium on Algorithms, ESA 2025
EditorsAnne Benoit, Haim Kaplan, Sebastian Wild, Sebastian Wild, Grzegorz Herman
ISBN (Electronic)9783959773959
DOIs
Publication statusPublished - 1 Oct 2025
Externally publishedYes
Event33rd Annual European Symposium on Algorithms, ESA 2025 - Warsaw, Poland
Duration: 15 Sept 202517 Sept 2025

Publication series

NameLeibniz International Proceedings in Informatics, LIPIcs
Volume351
ISSN (Print)1868-8969

Conference

Conference33rd Annual European Symposium on Algorithms, ESA 2025
Country/TerritoryPoland
CityWarsaw
Period15/09/2517/09/25

Keywords

  • convex polygon
  • dynamic programming
  • implementation

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