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The Voronoi tessellation is the partition of space for a given seeds pattern and the result of the partition depends completely on the type of given pattern "random", Poisson-Voronoi tessellations (PVT), or "non-random", Non Poisson-Voronoi…

Data Analysis, Statistics and Probability · Physics 2015-11-23 M. Ferraro , L. Zaninetti

We study multivariate normal models that are described by linear constraints on the inverse of the covariance matrix. Maximum likelihood estimation for such models leads to the problem of maximizing the determinant function over a…

Statistics Theory · Mathematics 2009-06-22 Bernd Sturmfels , Caroline Uhler

In a previous paper by the authors, we obtain the first example of a finitely freely generated simple $\mathbb Z$-graded Lie conformal algebra of linear growth that cannot be embedded into any general Lie conformal algebra. In this paper,…

Representation Theory · Mathematics 2021-01-26 Yucai Su , Xiaoqing Yue

We introduce VoroFields, a hierarchical neural-field framework for approximating generalized Voronoi diagrams of finite geometric site sets in low-dimensional domains under arbitrary evaluable point-to-site distances. Instead of…

Computational Geometry · Computer Science 2026-03-31 Panagiotis Rigas , George Ioannakis , Ioannis Emiris

A Voronoi diagram partitions the plane into convex cells, each containing the points closest to a single generator. Given such a tessellation, the inverse Voronoi problem seeks the generator set \( S \) that produced it. Our algorithm…

Metric Geometry · Mathematics 2025-06-25 Carlos M Hernandez-Suarez

Let $V$ be a symmetric space over a connected reductive Lie algebra $G$, with Lie algebra $\mathfrak{g}$ and discriminant $\delta\in \mathbb{C}[V]$. A fundamental object is the invariant holonomic system $\mathcal{G} =\mathcal{D}(V)\Big/…

Representation Theory · Mathematics 2024-04-02 G. Bellamy , T. Nevins , J. T. Stafford

This Letter initiates the study of what we call non-chiral staggered Virasoro modules, indecomposable modules on which two copies of the Virasoro algebra act with the two zero-modes acting non-semisimply. This is motivated by the "puzzle"…

High Energy Physics - Theory · Physics 2015-06-04 David Ridout

We investigate the relative logarithmic connections on a holomorphic vector bundle over a complex analytic family. We give a sufficient condition for the existence of a relative logarithmic connection on a holomorphic vector bundle singular…

Algebraic Geometry · Mathematics 2021-08-16 Snehajit Misra , Anoop Singh

The Virasoro Lie algebra is a one-dimensional central extension of the Witt algebra, which can be realized as the Lie algebra of derivations on the algebra $\cc [t^{\pm}]$ of Laurent polynomials. Using this fact, we define a natural family…

Representation Theory · Mathematics 2017-12-27 Matthew Ondrus , Emilie Wiesner

The Voronoi cell of any atom in a lattice is identical. If atoms are perturbed from their lattice coordinates, then the topologies of the Voronoi cells of the atoms will change. We consider the distribution of Voronoi cell topologies in…

Statistical Mechanics · Physics 2016-06-10 Hannes Leipold , Emanuel A. Lazar , Kenneth A. Brakke , David J. Srolovitz

In recent years, there has been considerable interest in developing machine learning models on graphs to account for topological inductive biases. In particular, recent attention has been given to Gaussian processes on such structures since…

Machine Learning · Computer Science 2024-08-20 Mathieu Alain , So Takao , Brooks Paige , Marc Peter Deisenroth

The Voronoi diagram is a certain geometric data structure which has numerous applications in various scientific and technological fields. The theory of algorithms for computing 2D Euclidean Voronoi diagrams of point sites is rich and…

Computational Geometry · Computer Science 2023-07-17 Daniel Reem

In this paper, the structure of cocommutative vertex bialgebras is investigated. For a general vertex bialgebra $V$, it is proved that the set $G(V)$ of group-like elements is naturally an abelian semigroup, whereas the set $P(V)$ of…

Quantum Algebra · Mathematics 2021-07-16 Jianzhi Han , Haisheng Li , Yukun Xiao

We investigate the relation between the convergence of a sequence of lattices and the set-theoretic convergence of their corresponding Voronoi cells sequence. We prove that if a sequence of full rank lattices converges to a full rank…

Computational Geometry · Computer Science 2019-06-19 Emanuel Florentin Olariu

In this paper we investigate relationships between the volumes of cells of three-dimensional Voronoi tessellations and the lengths and areas of sections obtained by intersecting the tessellation with a randomly oriented plane. Here, in…

Statistical Mechanics · Physics 2011-10-12 L. Zaninetti , M. Ferraro

Minimization diagrams encompass a large class of diagrams of interest in the literature, such as generalized Voronoi diagrams. We develop an abstract perturbation theory and perform a sensitivity analysis for functions depending on sets…

Optimization and Control · Mathematics 2023-04-28 Ernesto G. Birgin , Antoine Laurain , Tiago C. Menezes

Let $G$ be a non-compact classical semisimple Lie group and let $G/V$ be the adjoint orbit with respect to a fixed element in $G$. These manifolds can be equipped with an almost-K\"ahler structure and we provide explicit formulae for the…

Combinatorics · Mathematics 2022-09-30 Alice Gatti

It is well-known that polynomial reproduction is not possible when approximating with Gaussian kernels. Quasi-interpolation schemes have been developed which use a finite number of Gaussians at different scales, which then reproduce…

Numerical Analysis · Mathematics 2020-01-24 Simon Hubbert , Jeremy Levesley

Cellular structures manifest their outstanding mechanical properties in many biological systems. One key challenge for designing and optimizing these geometrically complicated structures lies in devising an effective geometric…

We consider a graphical model where a multivariate normal vector is associated with each node of the underlying graph and estimate the graphical structure. We minimize a loss function obtained by regressing the vector at each node on those…

Machine Learning · Statistics 2017-09-19 Xingqi Du , Subhashis Ghosal
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