Global Complexity Bound of a Proximal ADMM for Linearly Constrained Nonseparable Nonconvex Composite Programming
Author:
Affiliation:
1. Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN 37830 USA.
2. School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0205 USA.
Funder
Exascale Computing Project
Air Force Office of Scientific Research
Office of Naval Research
National Science Foundation
U.S. Department of Energy
Publisher
Society for Industrial & Applied Mathematics (SIAM)
Reference23 articles.
1. An inertial proximal alternating direction method of multipliers for nonconvex optimization
2. The direct extension of ADMM for multi-block convex minimization problems is not necessarily convergent
3. On the Douglas—Rachford splitting method and the proximal point algorithm for maximal monotone operators
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