A proximal-based decomposition method for convex minimization problems

A Primal-Dual Algorithm for MonotropicProgramming and its Application to NetworkOptimization

Computational Optimization and Applications

Proximal Point Methods and Nonconvex Optimization

Journal of Global Optimization

Comparison of Two Proximal Point Algorithms for Monotone Variational Inequalities

Computers & Mathematics with Applications

A hybrid entropic proximal decomposition method with self-adaptive strategy for solving variational inequality problems

Computers & Mathematics with Applications

A descent method for structured monotone variational inequalities

Optimization Methods & Software

Parallel splitting augmented Lagrangian methods for monotone structured variational inequalities

Computational Optimization and Applications

Improved dual decomposition based optimization for DSL dynamic spectrum management

IEEE Transactions on Signal Processing

A Unified Primal-Dual Algorithm Framework Based on Bregman Iteration

Journal of Scientific Computing

Fast minimization methods for solving constrained total-variation superresolution image reconstruction

Multidimensional Systems and Signal Processing

An improved proximal alternating direction method for monotone variational inequalities with separable structure

Computational Optimization and Applications

Alternating direction method for bi-quadratic programming

Journal of Global Optimization

A General Framework for a Class of First Order Primal-Dual Algorithms for Convex Optimization in Imaging Science

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

Inexact Alternating Direction Methods for Image Recovery

SIAM Journal on Scientific Computing

Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers

Foundations and Trends® in Machine Learning

New decomposition methods for solving variational inequality problems

Mathematical and Computer Modelling: An International Journal

The improvement with relative errors of he et al. 's inexact alternating direction method for monotone variational inequalities

Mathematical and Computer Modelling: An International Journal

An inexact parallel splitting augmented Lagrangian method for monotone variational inequalities with separable structures

Computational Optimization and Applications

A Monotone+Skew Splitting Model for Composite Monotone Inclusions in Duality

SIAM Journal on Optimization

An LQP-Based Decomposition Method for Solving a Class of Variational Inequalities

SIAM Journal on Optimization

An ADM-based splitting method for separable convex programming

Computational Optimization and Applications

A splitting algorithm for dual monotone inclusions involving cocoercive operators

Advances in Computational Mathematics

An alternating direction method for second-order conic programming

Computers and Operations Research

Combining Lagrangian decomposition and excessive gap smoothing technique for solving large-scale separable convex optimization problems

Computational Optimization and Applications

Alternating direction methods for latent variable gaussian graphical model selection

Neural Computation

Linearized Alternating Direction Method with Adaptive Penalty and Warm Starts for Fast Solving Transform Invariant Low-Rank Textures

International Journal of Computer Vision

A proximal parallel splitting method for minimizing sum of convex functions with linear constraints

Journal of Computational and Applied Mathematics

An inexact LQP alternating direction method for solving a class of structured variational inequalities

Computers & Mathematics with Applications

An alternating structured trust region algorithm for separable optimization problems with nonconvex constraints

Computational Optimization and Applications

A Parallel Proximal Splitting Method for Disparity Estimation from Multicomponent Images Under Illumination Variation

Journal of Mathematical Imaging and Vision

Path-following gradient-based decomposition algorithms for separable convex optimization

Journal of Global Optimization