Two linear proximal Peaceman-Rachford splitting algorithms for nonconvex and nonsmooth nonseparable optimization
From MaRDI portal
Publication:6665219
DOI10.12286/jssx.j2022-0948MaRDI QIDQ6665219
Jin-Bao Jian, Jianghua Yin, Jingmin Cai
Publication date: 17 January 2025
Published in: Mathematica Numerica Sinica (Search for Journal in Brave)
convergenceArmijo line searchPeaceman-Rachford splitting algorithmlinear regularization techniquenonconvex and nonsmooth nonseparable optimization
Large-scale problems in mathematical programming (90C06) Nonconvex programming, global optimization (90C26) Nonlinear programming (90C30)
Cites Work
- Unnamed Item
- Unnamed Item
- On the convergence properties of a majorized alternating direction method of multipliers for linearly constrained convex optimization problems with coupled objective functions
- Monotone splitting sequential quadratic optimization algorithm with applications in electric power systems
- First-order algorithms for convex optimization with nonseparable objective and coupled constraints
- Extended ADMM and BCD for nonseparable convex minimization models with quadratic coupling terms: convergence analysis and insights
- Structured nonconvex and nonsmooth optimization: algorithms and iteration complexity analysis
- Global convergence of ADMM in nonconvex nonsmooth optimization
- Convergence study on strictly contractive peaceman-Rachford splitting method for nonseparable convex minimization models with quadratic coupling terms
- A survey on some recent developments of alternating direction method of multipliers
- General inertial proximal gradient method for a class of nonconvex nonsmooth optimization problems
- Convergence of linear Bregman ADMM for nonconvex and nonsmooth problems with nonseparable structure
- A Strictly Contractive Peaceman--Rachford Splitting Method for Convex Programming
- Convergence Analysis of Alternating Direction Method of Multipliers for a Family of Nonconvex Problems
- Convergence Study on the Symmetric Version of ADMM with Larger Step Sizes
- Fiber Orientation Distribution Estimation Using a Peaceman--Rachford Splitting Method
- A Proximal Strictly Contractive Peaceman--Rachford Splitting Method for Convex Programming with Applications to Imaging
- Linearly Constrained Non-Lipschitz Optimization for Image Restoration
- Global Convergence of Splitting Methods for Nonconvex Composite Optimization
- A Strictly Contractive Peaceman-Rachford Splitting Method with Logarithmic-Quadratic Proximal Regularization for Convex Programming
- Comments on «Wavelets in statistics: A review» by A. Antoniadis
- Group variable selection via SCAD-L2
- Efficient Reconstruction of Piecewise Constant Images Using Nonsmooth Nonconvex Minimization
This page was built for publication: Two linear proximal Peaceman-Rachford splitting algorithms for nonconvex and nonsmooth nonseparable optimization