Decomposition Method with a Variable Parameter for a Class of Monotone Variational Inequality Problems

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Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers (2011, unknown): “, [96, 169]):”
A Fully Distributed Reactive Power Optimization and Control Method for Active Distribution Networks (2014, methodology): “A self-adaptive tuning technique was reported [20] for solving monotonic variational inequality problems.”
Fast Convolutional Sparse Coding (2013, background): “Adaptive strategies can also be entertained to balance the rate of primal and dual convergence [22].”
Collaborative Sparse Regression for Hyperspectral Unmixing (2014, methodology): “For example, previous works [43], [44] (see also [45]) use an adaptive scheme (based on the primal and the dual ADMM variables) that performs very well in our case.”
Total Variation Spatial Regularization for Sparse Hyperspectral Unmixing (2012, methodology): “For example, previous work in [66], [67] (see also [68]) uses an adaptive scheme (based on the primal and the dual ADMM variables) that performs very well in our case.”