On the characterizations of solutions to perturbed l1 conic optimization problem-Reference-Cited by-同舟云学术

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On the characterizations of solutions to perturbed l1 conic optimization problem

Published:2019-02-10 Issue:6 Volume:68 Page:1157-1186
ISSN:0233-1934
Container-title:Optimization
language:en
Short-container-title:Optimization

Author:

Liu Yong-Jin¹^ORCID,Li Ruonan²,Wang Bo¹

Affiliation:

1. Key Laboratory of Operations Research and Control of Universities, College of Mathematics and Computer Science, Fuzhou University, Fuzhou, People's Republic of China

2. School of Science, Shenyang Aerospace University, Shenyang, People's Republic of China

Funder

National Natural Science Foundation of China

Program for Liaoning Excellent Talents in University

Fujian Education and Research Program for Young Teachers

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/02331934.2019.1576668

Reference39 articles.

1. Compressed sensing

2. Statistical Learning with Sparsity

3. Sparse Modeling

4. Statistics for High-Dimensional Data

5. GESPAR: Efficient Phase Retrieval of Sparse Signals

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