Strong subdifferentials: theory and applications in nonconvex optimization
Abstract
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.
Más información
Título de la Revista: | JOURNAL OF GLOBAL OPTIMIZATION |
Volumen: | 84 |
Número: | 2 |
Editorial: | Springer |
Fecha de publicación: | 2022 |
Página de inicio: | 349 |
Página final: | 368 |
Idioma: | Ingles |
URL: | https://link.springer.com/article/10.1007/s10898-022-01149-9 |
Notas: | WOS |