SIAM Journal on Control and Optimization
Mathematical Programming: Series A and B
A variable-penalty alternating directions method for convex optimization
Mathematical Programming: Series A and B
Finite element approximation and iterative solution of a class of mildly non-linear elliptic equations
A Unified Primal-Dual Algorithm Framework Based on Bregman Iteration
Journal of Scientific Computing
SIAM Journal on Scientific Computing
Bregmanized Nonlocal Regularization for Deconvolution and Sparse Reconstruction
SIAM Journal on Imaging Sciences
Solving Large-Scale Least Squares Semidefinite Programming by Alternating Direction Methods
SIAM Journal on Matrix Analysis and Applications
Recovering Low-Rank and Sparse Components of Matrices from Incomplete and Noisy Observations
SIAM Journal on Optimization
Alternating Direction Method for Image Inpainting in Wavelet Domains
SIAM Journal on Imaging Sciences
Foundations and Trends® in Machine Learning
Group sparse inverse covariance selection with a dual augmented lagrangian method
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part III
Computational Optimization and Applications
An efficient ADMM algorithm for multidimensional anisotropic total variation regularization problems
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
An improved first-order primal-dual algorithm with a new correction step
Journal of Global Optimization
Elastic Net subspace clustering applied to pop/rock music structure analysis
Pattern Recognition Letters
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Alternating direction methods (ADMs) have been well studied in the literature, and they have found many efficient applications in various fields. In this note, we focus on the Douglas-Rachford ADM scheme proposed by Glowinski and Marrocco, and we aim at providing a simple approach to estimating its convergence rate in terms of the iteration number. The linearized version of this ADM scheme, which is known as the split inexact Uzawa method in the image processing literature, is also discussed.