Some new results on farthest Bregman Voronoi cells

Given the Bregman distance induced by a differentiable strictly convex function and a set of points, called sites, the farthest Bregman Voronoi cell of a particular site is the set of points for which the farthest site with respect to the considered Bregman distance is the given site. We improve some results of an earlier paper and obtain new expressions for farthest Bregman Voronoi cells, as well as conditions for their nonemptiness. We also give conditions for a closed convex set to be a cell. Moreover, using a minimax theorem due to B. Ricceri, we extend his result on the existence of two different intersecting cells, using essentially the same approach.

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Publication Details

Journal
Optimization
Published
2025-05-20
DOI
https://doi.org/10.1080/02331934.2025.2505458
Primary Topic
Electromagnetic Scattering and Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Some new results on farthest Bregman Voronoi cells

Eskandar Naraghirad, Juan Enrique Martínez-Legaz, Maryam Tamadoni Jahromi
Optimization
Electromagnetic Scattering and Analysis
article

Some new results on farthest Bregman Voronoi cells

Eskandar Naraghirad, Juan Enrique Martínez-Legaz, Maryam Tamadoni Jahromi
article en

Abstract

Given the Bregman distance induced by a differentiable strictly convex function and a set of points, called sites, the farthest Bregman Voronoi cell of a particular site is the set of points for which the farthest site with respect to the considered Bregman distance is the given site. We improve some results of an earlier paper and obtain new expressions for farthest Bregman Voronoi cells, as well as conditions for their nonemptiness. We also give conditions for a closed convex set to be a cell. Moreover, using a minimax theorem due to B. Ricceri, we extend his result on the existence of two different intersecting cells, using essentially the same approach.

Optimization
Universitat Autònoma de Barcelona (ES), Brescia University (US), Yasouj University (IR), University of Brescia (IT)
Ministerio de Ciencia e Innovación, European Regional Development Fund
Zero hunger
Openalex Percentile: Top 92%
Electromagnetic Scattering and Analysis
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