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We propose a new method for generating random correlation matrices that makes it simple to control both location and dispersion. The method is based on a vector parameterization, gamma = g(C), which maps any distribution on R^d, d =…

Econometrics · Economics 2022-10-18 Ilya Archakov , Peter Reinhard Hansen , Yiyao Luo

Percolation theory can be used to describe the structural properties of complex networks using the generating function formulation. This mapping assumes that the network is locally tree-like and does not contain short-range loops between…

Physics and Society · Physics 2021-02-03 Peter Mann , V. Anne Smith , John B. O. Mitchell , Simon Dobson

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 this paper we present formulae for chord length distribution in the framework of Poissonian Voronoi Tessellation (PVT) and non Poissonian Voronoi Tessellation (NPVT). The introduction of the scale parameter in the obtained distributions…

Cosmology and Nongalactic Astrophysics · Physics 2017-05-15 Lorenzo Zaninetti

This study proposes an innovative approach to analyze spatial patterns of behavior by integrating information in weighted Voronoi diagrams. The objective of the research is to analyze the temporal distribution of an experimental subject in…

We propose a new method to generate a sequence of random numbers with long-range power-law correlations that overcomes known difficulties associated with large systems. The new method presents an improvement on the commonly-used methods. We…

Condensed Matter · Physics 2009-10-28 Hernán A. Makse , Shlomo Havlin , Moshe Schwartz , H. Eugene Stanley

We present a new particle-merging algorithm for the particle-in-cell method. Based on the concept of the Voronoi diagram, the algorithm partitions the phase space into smaller subsets, which consist of only particles that are in close…

Computational Physics · Physics 2016-04-20 Phuc T. Luu , T. Tückmantel , A. Pukhov

Identifying Blaschke-Santal\'o diagrams is an important topic that essentially consists in determining the image $Y=F(X)$ of a map $F:X\to{\mathbb{R}}^d$, where the dimension of the source space $X$ is much larger than the one of the target…

Numerical Analysis · Mathematics 2023-02-02 Beniamin Bogosel , Giuseppe Buttazzo , Edouard Oudet

Slicing a Voronoi tessellation in $\mathbb{R}^n$ with a $k$-plane gives a $k$-dimensional weighted Voronoi tessellation, also known as power diagram or Laguerre tessellation. Mapping every simplex of the dual weighted Delaunay mosaic to the…

Probability · Mathematics 2019-06-18 Herbert Edelsbrunner , Anton Nikitenko

Multicellular rosettes are observed in different situations such as morphogenesis, wound healing, and cancer progression. While some molecular insights have been gained to explain the presence of these assemblies of five or more cells…

We consider the Voronoi tessellation associated to a stationary simple point process on $\mathbb{R}^d$ with finite and positive intensity. We introduce the Delaunay triangulation as its dual graph, i.e.~the graph with vertex set given by…

Probability · Mathematics 2026-03-25 A. Faggionato , C. Tagliaferri

Tessellations are an important tool to model the microstructure of cellular and polycrystalline materials. Classical tessellation models include the Voronoi diagram and Laguerre tessellation whose cells are polyhedra. Due to the convexity…

Computational Geometry · Computer Science 2023-03-28 Christian Jung , Claudia Redenbach

Complex systems, ranging from soft materials to wireless communication, are often organised as random geometric networks in which nodes and edges evenly fill up the volume of some space. Studying such networks is difficult because they…

Probability · Mathematics 2022-07-19 Ivan Kryven , Rik Versendaal

Mimicking natural tessellation patterns is a fascinating multi-disciplinary problem. Geometric methods aiming at reproducing such partitions on surface meshes are commonly based on the Voronoi model and its variants, and are often faced…

Graphics · Computer Science 2018-04-25 Rhaleb Zayer , Daniel Mlakar , Markus Steinberger , Hans-Peter Seidel

This article provides numerical evidence that under volume constraint the ball is the set which maximizes the perimeter of the least-perimeter partition into cells with prescribed areas. We introduce a numerical maximization algorithm which…

Optimization and Control · Mathematics 2021-06-08 Beniamin Bogosel , Edouard Oudet

The Voronoi diagram is a geometric object which is widely used in many areas. Recently it has been shown that under mild conditions Voronoi diagrams have a certain continuity property: small perturbations of the sites yield small…

Computational Geometry · Computer Science 2013-04-30 Daniel Reem

The application of Voronoi and Delaunay tessellation based methods for reconstructing continuous fields from discretely sampled data sets is discussed. The succesfull operation as ``multidimensional interpolation'' method is corroborated…

Astrophysics · Physics 2009-10-31 Rien van de Weygaert , Willem Schaap

We consider offsets of a union of convex objects. We aim for a filtration, a sequence of nested cell complexes, that captures the topological evolution of the offsets for increasing radii. We describe methods to compute a filtration based…

Computational Geometry · Computer Science 2015-01-26 Dan Halperin , Michael Kerber , Doron Shaharabani

We study the masses of the two cells in a Vorono\"i tessellation of the Brownian surface of genus $g\geq 0$ centered on two uniform random points. Making use of classical bijections and asymptotic estimates for maps of fixed genus, we…

Probability · Mathematics 2023-06-23 Guillaume Chapuy

The computation of Voronoi Diagrams, or their dual Delauney triangulations is difficult in high dimensions. In a recent publication Polianskii and Pokorny propose an iterative randomized algorithm facilitating the approximation of Voronoi…

Computational Geometry · Computer Science 2024-05-17 Alexander Sikorski , Martin Heida