Iteration complexity on the generalized Peaceman–Rachford splitting method for separable convex programming
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Publication:5239082
DOI10.1080/02331934.2019.1636246zbMath1431.90114OpenAlexW2953868345MaRDI QIDQ5239082
Xueqing Zhang, Jian-Wen Peng, Jen-Chih Yao
Publication date: 21 October 2019
Published in: Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02331934.2019.1636246
convex minimization problemiteration complexitymatrix optimizationLasso problemgeneralized Peaceman-Rachford splitting method
Convex programming (90C25) Abstract computational complexity for mathematical programming problems (90C60)
Cites Work
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- Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
- Generalized peaceman-Rachford splitting method for separable convex programming with applications to image processing
- On the Douglas-Rachford splitting method and the proximal point algorithm for maximal monotone operators
- A dual algorithm for the solution of nonlinear variational problems via finite element approximation
- Some convergence properties of a method of multipliers for linearly constrained monotone variational inequalities
- Generalized Peaceman-Rachford splitting method for multiple-block separable convex programming with applications to robust PCA
- A proximal Peaceman-Rachford splitting method for compressive sensing
- On the $O(1/n)$ Convergence Rate of the Douglas–Rachford Alternating Direction Method
- A Strictly Contractive Peaceman--Rachford Splitting Method for Convex Programming
- The Numerical Solution of Parabolic and Elliptic Differential Equations
- A Strictly Contractive Peaceman-Rachford Splitting Method with Logarithmic-Quadratic Proximal Regularization for Convex Programming
- Splitting Algorithms for the Sum of Two Nonlinear Operators
- Local Linear Convergence of the Alternating Direction Method of Multipliers for Quadratic Programs
- Convex Analysis