Global convergence of general derivative-free trust-region algorithms to first and second order critical points
In this paper we prove global convergence for first and second-order stationarity points of a class of derivative-free trust-region methods for unconstrained optimization. These methods are based on the sequential minimization of linear or quadratic models built from evaluating the objective functio...
| Autor principal: | |
|---|---|
| Outros Autores: | , |
| Formato: | other |
| Idioma: | eng |
| Publicado em: |
2006
|
| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10316/11325 |
| País: | Portugal |
| Oai: | oai:estudogeral.sib.uc.pt:10316/11325 |