A semi-smoothing augmented Lagrange multiplier algorithm for low-rank Toeplitz matrix completion

A semi-smoothing augmented Lagrange multiplier algorithm for low-rank Toeplitz matrix completion

Abstract The smoothing augmented Lagrange multiplier (SALM) algorithm is a generalization of the augmented Lagrange multiplier algorithm for completing a Toeplitz matrix, which saves computational cost of the singular value decomposition (SVD) and approximates well the solution. However, the communi...

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Bibliographic Details
Main Authors: Ruiping Wen, Shuzhen Li, Yonghong Duan
Format: Article
Language:English
Published: SpringerOpen 2019-03-01
Series:Journal of Inequalities and Applications
Subjects:
Toeplitz matrix
Completion
Augmented Lagrange multiplier
Data communication
Online Access:http://link.springer.com/article/10.1186/s13660-019-2033-7

Internet

http://link.springer.com/article/10.1186/s13660-019-2033-7

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