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Variable Smoothing for Convex Optimization Problems Using Stochastic Gradients
We aim to solve a structured convex optimization problem, where a nonsmooth function is composed with a linear operator. When opting for full splitting schemes, usually, primal–dual type methods are employed as they are effective and also well studied. However, under the additional assumption of Lip...
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| Publicado no: | J Sci Comput |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer US
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7581594/ https://ncbi.nlm.nih.gov/pubmed/33122873 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10915-020-01332-8 |
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