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The symmetric ADMM with indefinite proximal regularization and its application
Due to updating the Lagrangian multiplier twice at each iteration, the symmetric alternating direction method of multipliers (S-ADMM) often performs better than other ADMM-type methods. In practical applications, some proximal terms with positive definite proximal matrices are often added to its sub...
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| Опубликовано в: : | J Inequal Appl |
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| Главные авторы: | , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Springer International Publishing
2017
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5522537/ https://ncbi.nlm.nih.gov/pubmed/28794608 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13660-017-1447-3 |
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