Löwner-John Polyellipsoid Problem: On the Location of Foci

V. Blanco, M. Martínez Antón, J. Puerto

Given a finite set of foci in a metric space and a nonnegative radius R, a polyellipsoid is the set of points whose sum of distances to the foci is at most R. In this on-going work, we address the following generalization of the Löwner-John ellipsoid problem. Given a (non necessarily convex) compact set K and a positive integer n, find a polyellipsoid of n foci that has minimum volume among all containing K. For that aim, first we (abstractly) model the problem as a sort of continuous location problem where the "facilities" to be placed become the foci. Thereby, the continuous decision variables are the coordinates of the n foci together with the radius (note these decisions determine the polyellipsoid). Considering the finite-dimensional euclidean space endowed with a Hölder norm, we work from such ethereal minimum-volume enclosing problem to an exact (or relaxed) conic reformulation that leads to a tractable approach useful in pattern separation and one-class classification.

Palabras clave: Löwner-John Problem, Minimum-Volume Enclosing Problems, Convex Optimization, Pattern Separation, One-Class Classification, Location Science, Machine Learning

GT GELOCA II: Optimization Models for Network Analysis and Classification
4 de septiembre de 2026  09:00
Aula B

I. Espejo Miranda, J. Peiró, M. Landete

V. Blanco, R. Gázquez, J. F. Ocaña-Rivas

S. Anglada, C. Galé, J. J. Salazar-González

F. Temprano Garcia, J. Puerto, S. Benati