Načítá se...
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...
Uloženo v:
| Vydáno v: | J Sci Comput |
|---|---|
| Hlavní autoři: | , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Springer US
2020
|
| Témata: | |
| On-line přístup: | 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 |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo otaguje tento záznam!
|