Strong subdifferentials: theory and applications in nonconvex optimization

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Resumen

A new subdifferential for dealing with nonconvex functions is provided in the following paper and the usual properties are presented as well. Furthermore, characterizations and optimality conditions for a point to be a solution for the nonconvex minimization problem are given. In particular, new KKT-type optimality conditions for nonconvex nonsmooth constraint optimization problems are developed. Moreover, a relationship with the proximity operator for lower semicontinuous quasiconvex functions is given and, as a consequence, the nonemptiness of this subdifferential for large classes of quasiconvex functions is ensured.

Idioma originalInglés
Páginas (desde-hasta)349-368
Número de páginas20
PublicaciónJournal of Global Optimization
Volumen84
N.º2
DOI
EstadoPublicada - oct. 2022

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