Quasiconvex optimization problems and asymptotic analysis in Banach spaces

Iusem A.; Lara F.

Keywords: Asymptotic cones; asymptotic functions; equilibrium problems; nonconvex optimization; quasiconvexity

Abstract

We use asymptotic analysis for dealing with quasiconvex optimization problems in reflexive Banach spaces. We study generalized asymptotic (recession) cones for nonconvex and nonclosed sets and its respective generalized asymptotic functions. We prove that the generalized asymptotic functions defined in previous works directly through closed formulae can also be generated from the generalized asymptotic cones. We establish three characterizations results for the nonemptiness and compactness of the solution set for noncoercive quasiconvex minimization problems using different asymptotic functions. Finally, we present a sufficient condition for the nonemptiness and boundedness of the solution set for quasiconvex pseudomonotone equilibrium problems.

Más información

Título según WOS: ID WOS:000470463300001 Not found in local WOS DB
Título según SCOPUS: Quasiconvex optimization problems and asymptotic analysis in Banach spaces
Título de la Revista: Optimization
Volumen: 69
Número: 11
Editorial: Taylor and Francis Ltd.
Fecha de publicación: 2020
Página final: 2470
Idioma: English
DOI:

10.1080/02331934.2019.1612893

Notas: ISI, SCOPUS