A new linear convergence result for the iterative soft thresholding algorithm-Reference-Cited by-同舟云学术

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A new linear convergence result for the iterative soft thresholding algorithm

Published:2017-04-17 Issue:7 Volume:66 Page:1177-1189
ISSN:0233-1934
Container-title:Optimization
language:en
Short-container-title:Optimization

Author:

Zhang Lufang¹,Hu Yaohua²,Li Chong¹,Yao Jen-Chih³⁴

Affiliation:

1. School of Mathematical Sciences, Zhejiang University, Hangzhou, P.R. China.

2. College of Mathematics and Statistics, Shenzhen University, Shenzhen, P.R. China.

3. Center for General Education, China Medical University, Taichung, Taiwan.

4. Department of Mathematics, King Abdulaziz University, Jeddah, Saudi Arabia.

Funder

Ministry of Science and Technology

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

MOST

Publisher

Informa UK Limited

Subject

Applied Mathematics,Management Science and Operations Research,Control and Optimization

Link

https://www.tandfonline.com/doi/pdf/10.1080/02331934.2017.1318133

Reference30 articles.

1. Decoding by Linear Programming

2. Signal Recovery by Proximal Forward-Backward Splitting

3. Compressed sensing

4. A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems

5. Iterated Hard Shrinkage for Minimization Problems with Sparsity Constraints

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