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An accelerated proximal augmented Lagrangian method and its application in compressive sensing

As a first-order method, the augmented Lagrangian method (ALM) is a benchmark solver for linearly constrained convex programming, and in practice some semi-definite proximal terms are often added to its primal variable’s subproblem to make it more implementable. In this paper, we propose an accelera...

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Detalles Bibliográficos
Autores principales: Sun, Min, Liu, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5651725/
https://www.ncbi.nlm.nih.gov/pubmed/29104401
http://dx.doi.org/10.1186/s13660-017-1539-0