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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Detalles Bibliográficos
Autores principales: Sun, Hongchun, Tian, Maoying, Sun, Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2017
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5522537/
https://www.ncbi.nlm.nih.gov/pubmed/28794608
http://dx.doi.org/10.1186/s13660-017-1447-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5522537/
https://www.ncbi.nlm.nih.gov/pubmed/28794608
http://dx.doi.org/10.1186/s13660-017-1447-3

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