Anderson Acceleration for Nonconvex ADMM Based on Douglas‐Rachford Splitting-Reference-Cited by-同舟云学术

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Anderson Acceleration for Nonconvex ADMM Based on Douglas‐Rachford Splitting

Published:2020-08 Issue:5 Volume:39 Page:221-239
ISSN:0167-7055
Container-title:Computer Graphics Forum
language:en
Short-container-title:Computer Graphics Forum

Author:

Ouyang Wenqing¹,Peng Yue¹²,Yao Yuxin¹,Zhang Juyong¹,Deng Bailin²

Affiliation:

1. University of Science and Technology of China

2. Cardiff University

Funder

National Natural Science Foundation of China

Youth Innovation Promotion Association of the Chinese Academy of Sciences

China Scholarship Council

Publisher

Wiley

Subject

Computer Graphics and Computer-Aided Design

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/cgf.14081

Reference75 articles.

1. Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward–backward splitting, and regularized Gauss–Seidel methods

2. Recent Results on Douglas–Rachford Methods for Combinatorial Optimization Problems

3. Deconvolving Images With Unknown Boundaries Using the Alternating Direction Method of Multipliers

4. Anderson acceleration and application to the three-temperature energy equations

5. Iterative Procedures for Nonlinear Integral Equations

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