Por favor, use este identificador para citar o enlazar este ítem: https://hdl.handle.net/11000/40942

Feasibility problems via paramonotone operators in a convex setting

Título :
Feasibility problems via paramonotone operators in a convex setting
Autor :
Camacho Moro, Jesús
Cánovas Cánovas, María Josefa
Martínez Legaz, Juan Enrique
Parra, Juan
Editor :
Taylor and Francis Group
Departamento:
Departamentos de la UMH::Estadística, Matemáticas e Informática
Fecha de publicación:
2024
URI :
https://hdl.handle.net/11000/40942
Resumen :
This paper is focussed on some properties of paramonotone operators on Banach spaces and their application to certain feasibility problems for convex sets in a Hilbert space and convex systems in the Euclidean space. In particular, it shows that operators that are simultaneously paramonotone and bimonotone are constant on their domains, and this fact is applied to tackle two particular situations. The first one, closely related to simultaneous projections, deals with a finite amount of convex sets with an empty intersection and tackles the problem of finding the smallest perturbations (in the sense of translations) of these sets to reach a nonempty intersection. The second is focussed on the distance to feasibility; specifically, given an inconsistent convex inequality system, our goal is to compute/estimate the smallest right-hand side perturbations that reach feasibility. We advance that this work derives lower and upper estimates of such a distance, which become the exact value when confined to linear systems.
Palabras clave/Materias:
distance function
convex inequalities
distance to feasibility
paramonotone operators
displacement mapping
Área de conocimiento :
CDU: Ciencias puras y naturales: Matemáticas
Tipo de documento :
info:eu-repo/semantics/article
Derechos de acceso:
info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
DOI :
https://doi.org/10.1080/02331934.2024.2313690
Publicado en:
Optimization
Aparece en las colecciones:
Artículos - Estadística, Matemáticas e Informática



Creative Commons La licencia se describe como: Atribución-NonComercial-NoDerivada 4.0 Internacional.