A partial PPA block-wise ADMM for multi-block linearly constrained separable convex optimization

DOI10.1080/02331934.2020.1728756zbMath1465.90065OpenAlexW3006687008MaRDI QIDQ4986418

Yuan Shen, Xingying Zhang, Xiayang Zhang

Publication date: 27 April 2021

Published in: Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331934.2020.1728756

zbMATH Keywords

convex optimizationaugmented Lagrangianalternating direction method of multipliersproximal point algorithmmulti-block

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Convex programming (90C25) Nonlinear programming (90C30) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (3)

Modified proximal symmetric ADMMs for multi-block separable convex optimization with linear constraints ⋮ A proximal fully parallel splitting method with a relaxation factor for separable convex programming ⋮ An efficient partial parallel method with scaling step size strategy for three-block convex optimization problems

Uses Software

• LMaFit
• spcov

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