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We consider geometric problems on planar $n^2$-point sets in the congested clique model. Initially, each node in the $n$-clique network holds a batch of $n$ distinct points in the Euclidean plane given by $O(\log n)$-bit coordinates. In…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-11-28 Jesper Jansson , Christos Levcopoulos , Andrzej Lingas , Valentin Polishchuk

We present a simple wavefront-like approach for computing multiplicatively weighted Voronoi diagrams of points and straight-line segments in the Euclidean plane. If the input sites may be assumed to be randomly weighted points then the use…

Computational Geometry · Computer Science 2020-06-26 Martin Held , Stefan de Lorenzo

We describe a new algorithm for computing the Voronoi diagram of a set of $n$ points in constant-dimensional Euclidean space. The running time of our algorithm is $O(f \log n \log \Delta)$ where $f$ is the output complexity of the Voronoi…

Computational Geometry · Computer Science 2013-04-03 Gary L. Miller , Donald R. Sheehy

We study algorithms and combinatorial complexity bounds for \emph{stable-matching Voronoi diagrams}, where a set, $S$, of $n$ point sites in the plane determines a stable matching between the points in $\mathbb{R}^2$ and the sites in $S$…

Computational Geometry · Computer Science 2021-02-23 Gill Barequet , David Eppstein , Michael T. Goodrich , Nil Mamano

In this paper, we provide an $O(n \mathrm{polylog} n)$ bound on the expected complexity of the randomly weighted Voronoi diagram of a set of $n$ sites in the plane, where the sites can be either points, interior-disjoint convex sets, or…

Computational Geometry · Computer Science 2015-03-23 Sariel Har-Peled , Benjamin Raichel

The Hilbert metric is a distance function defined for points lying within a convex body. It generalizes the Cayley-Klein model of hyperbolic geometry to any convex set, and it has numerous applications in the analysis and processing of…

Computational Geometry · Computer Science 2021-12-07 Auguste H. Gezalyan , David M. Mount

Let $P$ be a planar set of $n$ sites in general position. For $k\in\{1,\dots,n-1\}$, the Voronoi diagram of order $k$ for $P$ is obtained by subdividing the plane into cells such that points in the same cell have the same set of nearest $k$…

Computational Geometry · Computer Science 2018-10-02 Bahareh Banyassady , Matias Korman , Wolfgang Mulzer , André van Renssen , Marcel Roeloffzen , Paul Seiferth , Yannik Stein

We present an explicit and efficient construction of additively weighted Voronoi diagrams on planar graphs. Let $G$ be a planar graph with $n$ vertices and $b$ sites that lie on a constant number of faces. We show how to preprocess $G$ in…

Data Structures and Algorithms · Computer Science 2020-06-26 Paweł Gawrychowski , Haim Kaplan , Shay Mozes , Micha Sharir , Oren Weimann

We investigate the combinatorial complexity of geodesic Voronoi diagrams on polyhedral terrains using a probabilistic analysis. Aronov etal [ABT08] prove that, if one makes certain realistic input assumptions on the terrain, this complexity…

Computational Geometry · Computer Science 2011-12-06 Anne Driemel , Sariel Har-Peled , Benjamin Raichel

Surprisingly, the order-$k$ Voronoi diagram of line segments had received no attention in the computational-geometry literature. It illustrates properties surprisingly different from its counterpart for points; for example, a single…

Computational Geometry · Computer Science 2014-05-16 Evanthia Papadopoulou , Maksym Zavershynskyi

This article presents an algorithm to compute digital images of Voronoi, Johnson-Mehl or Laguerre diagrams of a set of punctual sites, in a domain of a Euclidean space of any dimension. The principle of the algorithm is, in a first step, to…

Computational Geometry · Computer Science 2022-02-01 H Moulinec

Let $S$ be a set of $n$ points in $\mathbb{R}^2$. Our goal is to preprocess $S$ to efficiently compute the smallest enclosing disk of the points in $S$ that lie inside an axis-aligned query rectangle. Previous data structures for this…

Computational Geometry · Computer Science 2026-05-06 Kevin Buchin , Mark Joachim Krallmann , Frank Staals

Given a set of sites in a simple polygon, a geodesic Voronoi diagram of the sites partitions the polygon into regions based on distances to sites under the geodesic metric. We present algorithms for computing the geodesic nearest-point,…

Computational Geometry · Computer Science 2018-01-09 Eunjin Oh , Hee-Kap Ahn

Given a set of point sites in a simple polygon, the geodesic farthest-point Voronoi diagram partitions the polygon into cells, at most one cell per site, such that every point in a cell has the same farthest site with respect to the…

Computational Geometry · Computer Science 2018-02-20 Eunjin Oh , Luis Barba , Hee-Kap Ahn

A Voronoi diagram is a basic geometric structure that partitions the space into regions associated with a given set of sites, such that all points in a region are closer to the corresponding site than to all other sites. While being…

Computational Geometry · Computer Science 2023-01-27 Tobias Friedrich , Maximilian Katzmann , Leon Schiller

In the Hausdorff Voronoi diagram of a family of \emph{clusters of points} in the plane, the distance between a point $t$ and a cluster $P$ is measured as the maximum distance between $t$ and any point in $P$, and the diagram is defined in a…

Computational Geometry · Computer Science 2016-03-08 Panagiotis Cheilaris , Elena Khramtcova , Stefan Langerman , Evanthia Papadopoulou

Many fundamental problems in computational geometry admit no algorithm running in $o(n \log n)$ time for $n$ planar input points, via classical reductions from sorting. Prominent examples include the computation of convex hulls, quadtrees,…

Computational Geometry · Computer Science 2026-05-18 Ivor van der Hoog , Eva Rotenberg , Jack Spalding-Jamieson , Lasse Wulf

We study the possibility of designing $N^{o(1)}$-round protocols for problems of substantially super-linear polynomial-time (sequential) complexity on the congested clique with about $N^{1/2}$ nodes, where $N$ is the input size. We show…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-12-24 Andrzej Lingas

We propose a self-improving algorithm for computing Voronoi diagrams under a given convex distance function with constant description complexity. The $n$ input points are drawn from a hidden mixture of product distributions; we are only…

Computational Geometry · Computer Science 2021-10-26 Siu-Wing Cheng , Man Ting Wong

In the Hausdorff Voronoi diagram of a set of clusters of points in the plane, the distance between a point t and a cluster P is the maximum Euclidean distance between t and a point in P. This diagram has direct applications in VLSI design.…

Computational Geometry · Computer Science 2013-12-17 Panagiotis Cheilaris , Elena Khramtcova , Evanthia Papadopoulou
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