An Optimal Deterministic Algorithm for Geodesic Farthest-Point Voronoi Diagrams in Simple Polygons

Given in the plane a set S of m point sites in a simple polygon P of n vertices, we consider the problem of computing the geodesic farthest-point Voronoi diagram for S in P . It is known that the problem has an Ω ( n + m log m ) time lower bound. Previously, a randomized algorithm was proposed [Barb...

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Veröffentlicht in:Discrete & computational geometry Jg. 70; H. 2; S. 426 - 454
1. Verfasser: Wang, Haitao
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Springer US 01.09.2023
Springer Nature B.V
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ISSN:0179-5376, 1432-0444
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Zusammenfassung:Given in the plane a set S of m point sites in a simple polygon P of n vertices, we consider the problem of computing the geodesic farthest-point Voronoi diagram for S in P . It is known that the problem has an Ω ( n + m log m ) time lower bound. Previously, a randomized algorithm was proposed [Barba, SoCG 2019] that solves the problem in O ( n + m log m ) expected time. The previous best deterministic algorithms solve the problem in O ( n log log n + m log m ) time [Oh, Barba, and Ahn, SoCG 2016] or in O ( n + m log m + m log 2 n ) time [Oh and Ahn, SoCG 2017]. In this paper, we present a deterministic algorithm that takes O ( n + m log m ) time, which is optimal. This answers affirmatively an open question posed by Mitchell in the Handbook of Computational Geometry two decades ago.
Bibliographie:ObjectType-Article-1
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content type line 14
ISSN:0179-5376
1432-0444
DOI:10.1007/s00454-022-00424-6