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Optimized first-order methods for smooth convex minimization
We introduce new optimized first-order methods for smooth unconstrained convex minimization. Drori and Teboulle [5] recently described a numerical method for computing the N-iteration optimal step coefficients in a class of first-order algorithms that includes gradient methods, heavy-ball methods [1...
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| Publicado no: | Math Program |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5067109/ https://ncbi.nlm.nih.gov/pubmed/27765996 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10107-015-0949-3 |
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