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Related papers: Chebyshev sets and ball operators

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In the present paper, the following convexity principle is proved: any closed convex multifunction, which is metrically regular in a certain uniform sense near a given point, carries small balls centered at that point to convex sets, even…

Optimization and Control · Mathematics 2015-04-13 Amos Uderzo

In this paper, we first introduce and study the notion of random Chebyshev centers. Further, based on the recently developed theory of stable sets, we introduce the notion of random complete normal structure so that we can prove the two…

Functional Analysis · Mathematics 2024-08-22 Xiaohuan Mu , Qiang Tu , Tiexin Guo , Hong-Kun Xu

In this survey, we discuss volumetric and combinatorial results concerning (mostly finite) intersections or unions of balls (mostly of equal radii) in the $d$-dimensional real vector space, mostly equipped with the Euclidean norm. Our first…

Metric Geometry · Mathematics 2025-12-30 Károly Bezdek , Zsolt Lángi , Márton Naszódi

The idea of representations of the data in negatively curved manifolds recently attracted a lot of attention and gave a rise to the new research direction named {\it hyperbolic machine learning} (ML). In order to unveil the full potential…

Machine Learning · Computer Science 2025-02-03 Vladimir Jaćimović , Aladin Crnkić

Convex geometries form a subclass of closure systems with unique criticals, or $UC$-systems. We show that the $F$-basis introduced in [1] for $UC$-systems, becomes optimum in convex geometries, in two essential parts of the basis: right…

Optimization and Control · Mathematics 2016-02-02 Kira Adaricheva

We prove that every pointed closed convex set in $\mathbb{R}^n$ is the intersection of all the rational closed halfspaces that contain it. This generalizes a previous result by the authors for compact convex sets.

Optimization and Control · Mathematics 2018-02-12 Marcel K. de Carli Silva , Levent Tunçel

In [5], Srijuntongsiri and Vavasis propose the "Kantorovich-Test Subdivision algorithm", or KTS, which is an algorithm for finding all zeros of a polynomial system in a bounded region of the plane. This algorithm can be used to find the…

Numerical Analysis · Computer Science 2009-02-27 Gun Srijuntongsiri , Stephen A. Vavasis

We present Chebyshev type cubature rules for the exact integration of rational symmetric functions with poles on prescribed coordinate hyperplanes. Here the integration is with respect to the densities of unitary Jacobi ensembles stemming…

Numerical Analysis · Mathematics 2023-05-03 Jan Felipe van Diejen , Erdal Emsiz

We introduce combinatorial types of arrangements of convex bodies, extending order types of point sets to arrangements of convex bodies, and study their realization spaces. Our main results witness a trade-off between the combinatorial…

Metric Geometry · Mathematics 2015-06-23 Michael Gene Dobbins , Andreas Holmsen , Alfredo Hubard

For convex sets $K$ and $L$ in ${\mathbb{R}}^d$ we define $R_L(K)$ to be the convex hull of all points belonging to $K$ but not to the interior of $L$. Cutting-plane methods from integer and mixed-integer optimization can be expressed in…

Optimization and Control · Mathematics 2011-06-09 Gennadiy Averkov

Optimal recovery is a mathematical framework for learning functions from observational data by adopting a worst-case perspective tied to model assumptions on the functions to be learned. Working in a finite-dimensional Hilbert space, we…

Optimization and Control · Mathematics 2023-10-17 Simon Foucart , Chunyang Liao

A set A of natural numbers is finitely embeddable in another such set B if every finite subset of A has a rightward translate that is a subset of B. This notion of finite embeddability arose in combinatorial number theory, but in this paper…

Logic · Mathematics 2015-12-11 Andreas Blass , Mauro Di Nasso

We study two classes of bounded operators on mixed norm Lebesgue spaces, namely composition operators and product operators. A complete description of bounded composition operators on mixed norm Lebesgue spaces are given. For a certain…

Functional Analysis · Mathematics 2020-03-25 Nikita Evseev , Alexander Menovschikov

In an $n$-dimensional normed space every bounded set has a unique circumball if and only if every set of cardinality two has a unique circumball and if and only if the unit ball of the space is strictly convex. When the symmetry of the norm…

Metric Geometry · Mathematics 2018-04-05 Bernardo González Merino , Thomas Jahn , Christian Richter

According to a result due to B.T. Polyak, a mapping between Hilbert spaces, which is $C^{1,1}$ around a regular point, carries a ball centered at that point to a convex set, provided that the radius of the ball is small enough. The present…

Optimization and Control · Mathematics 2013-04-01 Amos Uderzo

High proved the following theorem. If the intersections of any two congruent copies of a plane convex body are centrally symmetric, then this body is a circle. In our paper we extend the theorem of High to the sphere and the hyperbolic…

Metric Geometry · Mathematics 2024-07-19 J. Jerónimo-Castro , E. Makai

In convergence analysis of finite element methods for singularly perturbed reaction--diffusion problems, balanced norms have been successfully introduced to replace standard energy norms so that layers can be captured. In this article, we…

Numerical Analysis · Mathematics 2020-10-22 Jin Zhang , Xiaowei Liu

In this paper we investigate some basic results on the slice regular Besov spaces of hyperholomorphic functions on the unit ball $\mathbb{B}.$ We also characterize the boundedness, compactness and find the essential norm estimates of…

Functional Analysis · Mathematics 2016-09-09 Sanjay Kumar , Khalid Manzoor

In this paper we study the problem of maximizing the distance to a given point over an intersection of balls. It was already known that this problem can be solved in polynomial time and space if the given point is not in the convex hull of…

Optimization and Control · Mathematics 2023-10-09 Marius Costandin , Beniamin Costandin

In this paper, the dynamics of the Chebyshev-Halley family is studied on quadratic polynomials. A singular set, that we call cat set, appears in the parameter space associated to the family. This cat set has interesting similarities with…

Numerical Analysis · Mathematics 2012-07-17 A. Cordero , J. R. Torregrosa , P. Vindel