γ-Active constraints in convex semi-infinite programming

In this article, we extend the definition of γ-active constraints for linear semi-infinite programming to a definition applicable to convex semi-infinite programming, by two approaches. The first approach entails the use of the subdifferentials of the convex constraints at a point, while the second...

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Detalles Bibliográficos
Autores: Martínez Legaz, Juan Enrique|||0000-0002-6845-6202, Todorov, Maxim Ivanov, Zetina, Carlos Armando
Tipo de recurso: artículo
Fecha de publicación:2014
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:184596
Acceso en línea:https://ddd.uab.cat/record/184596
https://dx.doi.org/urn:doi:10.1080/01630563.2014.895745
Access Level:acceso abierto
Palabra clave:Active constraints
Convex optimization
Semi-infinite programming
Descripción
Sumario:In this article, we extend the definition of γ-active constraints for linear semi-infinite programming to a definition applicable to convex semi-infinite programming, by two approaches. The first approach entails the use of the subdifferentials of the convex constraints at a point, while the second approach is based on the linearization of the convex inequality system by means of the convex conjugates of the defining functions. By both these methods, we manage to extend the results on γ-active constraints from the linear case to the convex case.