A Generalized Primal-Dual Algorithm with Improved Convergence Condition for Saddle Point Problems-Reference-Cited by-同舟云学术

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A Generalized Primal-Dual Algorithm with Improved Convergence Condition for Saddle Point Problems

Published:2022-07-28 Issue:3 Volume:15 Page:1157-1183
ISSN:1936-4954
Container-title:SIAM Journal on Imaging Sciences
language:en
Short-container-title:SIAM J. Imaging Sci.

Author:

He Bingsheng,Ma Feng,Xu Shengjie,Yuan Xiaoming

Funder

Guangdong Basic and Applied Basic Research Foundation of China

Hong Kong Research Grants Council

National Natural Science Foundation of China

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Applied Mathematics,General Mathematics

Reference33 articles.

1. First-Order Methods in Optimization

2. On the Convergence of Primal–Dual Hybrid Gradient Algorithms for Total Variation Image Restoration

3. From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images

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