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 |