Introduction
Some Facts about Operator-Splitting and Alternating Direction Methods
Operator Splitting
Convergence Rate Analysis of Several Splitting Schemes
Self Equivalence of the Alternating Direction Method of Multipliers
Application of the Strictly Contractive Peaceman-Rachford Splitting Method to Multi-block Separable Convex Programming
Nonconvex Sparse Regularization and Splitting Algorithms
ADMM and Non-convex Variational Problems
Operator Splitting Methods in Compressive Sensing and Sparse Approximation
First Order Algorithms in Variational Image Processing
A Parameter Free ADI-like Method for the Numerical Solution of Large Scale Lyapunov Equations
Splitting Enables Overcoming the Curse of Dimensionality
ADMM Algorithmic Regularization Paths for Sparse Statistical Machine Learning
Decentralized Learning for Wireless Communications and Networking
Splitting Methods for SPDEs: From Robustness to Financial Engineering, Optimal Control and Nonlinear Filtering
Application of Operator Splitting Methods in Finance
A Numerical Method to Solve Multi-marginal Optimal Transport Problems with Coulomb Cost
Robust Split-step Fourier Methods for Simulating the Propagation of Ultra-short Pulses in Single- and Two-mode Optical Communication Fibers
Operator Splitting Methods with Error Estimator and Adaptive Time-stepping: Application to the Simulation of Combustion Phenomena
Operator Splitting Algorithms for Free Surface Flows: Application to Extrusion Processes
An Operator Splitting Approach to the Solution of Fluid-structure Interaction Problems with Hemodynamics
On Circular cluster Formation in a Rotating Suspension of Non-Brownian Settling Particles in a Fully Filled Circular Cylinder: An Operator Splitting Approach to the Numerical Simulation.