Linearized symmetric multi-block ADMM with indefinite proximal regularization and optimal proximal parameter-Reference-Cited by-同舟云学术

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Linearized symmetric multi-block ADMM with indefinite proximal regularization and optimal proximal parameter

Published:2020-11-02 Issue:4 Volume:57 Page:
ISSN:0008-0624
Container-title:Calcolo
language:en
Short-container-title:Calcolo

Author:

Chang Xiaokai,Bai Jianchao,Song Dunjiang,Liu Sanyang

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Algebra and Number Theory

Link

http://link.springer.com/content/pdf/10.1007/s10092-020-00387-1.pdf

Reference34 articles.

1. Bai, J., Li, J., Fengmin, X., Zhang, H.: Generalized symmetric ADMM for separable convex optimization. Comput. Optim. Appl. 70(1), 129–170 (2018)

2. Ma, S.: Alternating proximal gradient method for convex minimization. J. Sci. Comput. 68(2), 546–572 (2016)

3. Partridge, M., Jabri, M.: Robust principal component analysis? J. ACM 58(3), 1–37 (2011)

4. Tao, M., Yuan, X.: Recovering low-rank and sparse components of matrices from incomplete and noisy observations. SIAM J. Optim. 21(1), 57–81 (2011)

5. He, B., Yuan, X.: A class of ADMM-based algorithms for three-block separable convex programming. Comput. Optim. Appl. 70(3), 791–826 (2018)

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