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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Bibliographic Details
Published in:Discrete & computational geometry Vol. 70; no. 2; pp. 426 - 454
Main Author: Wang, Haitao
Format: Journal Article
Language:English
Published: New York Springer US 01.09.2023
Springer Nature B.V
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ISSN:0179-5376, 1432-0444
Online Access:Get full text
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Summary: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.
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ISSN:0179-5376
1432-0444
DOI:10.1007/s00454-022-00424-6