Nonsmooth spectral gradient methods for unconstrained optimization
To solve nonsmooth unconstrained minimization problems, we combine the spectral choice of step length with two well-established subdifferential-type schemes: the gradient sampling method and the simplex gradient method. We focus on the interesting case in which the objective function is continuously...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Elsevier
2017-12-01
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| Col·lecció: | EURO Journal on Computational Optimization |
| Matèries: | |
| Accés en línia: | http://www.sciencedirect.com/science/article/pii/S2192440621000927 |
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