Distributed Mirror Descent Algorithm With Bregman Damping for Nonsmooth Constrained Optimization-Reference-Cited by-同舟云学术

Distributed Mirror Descent Algorithm With Bregman Damping for Nonsmooth Constrained Optimization

Published:2023-11 Issue:11 Volume:68 Page:6921-6928
ISSN:0018-9286
Container-title:IEEE Transactions on Automatic Control
language:
Short-container-title:IEEE Trans. Automat. Contr.

Author:

Chen Guanpu¹^ORCID,Xu Gehui¹^ORCID,Li Weijian²^ORCID,Hong Yiguang³^ORCID

Affiliation:

1. Key Laboratory of Systems and Control, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China

2. Decision Intelligence Lab, DAMO Academy, Alibaba Group, Hangzhou, China

3. Department of Control Science and Engineering and Shanghai Research Institute for Intelligent Autonomous Systems, Tongji University, Shanghai, China

Funder

National Key Research and Development Program of China

Shanghai Municipal Science and Technology Major Project

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9/10298015/10044227.pdf?arnumber=10044227

Reference40 articles.

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3. Exponentially Convergent Algorithm Design for Constrained Distributed Optimization via Nonsmooth Approach

4. Convex Optimization

5. Distributed sub-optimal resource allocation via a projected form of singular perturbation

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