For EDITORS

For READERS

All Issues

Vol.14, 2024
Vol.10, 2020
Vol.9, 2019
Vol.8, 2018
Vol.7, 2017
Vol.6, 2016
Vol.5, 2015
Vol.4, 2014
Vol.3, 2013
Vol.2, 2012
Vol.1, 2011
Volume 9, Number 5, 2019, Pages 1686-1705                                                                DOI:10.11948/20180256
Linearized Alternating Direction Method of Multipliers for Separable Convex Optimization of Real Functions in Complex Domain
Lu Li,Lun Wang,Guoqiang Wang,Na Li,Juli Zhang
Keywords:Linearized alternating direction method of multipliers, Variational Inequality, Wirtinger Calculus, Least absolute shrinkage and selectionator operator
Abstract:
      The alternating direction method of multipliers (ADMM) for separable convex optimization of real functions in complex variables has been proposed recently[21]. Furthermore, the convergence and $O(1/K)$ convergence rate of ADMM in complex domain have also been derived[22]. In this paper, a fast linearized ADMM in complex domain has been presented as the subproblems do not have closed solutions. First, some useful results in complex domain are developed by using the Wirtinger Calculus technique. Second, the convergence of the linearized ADMM in complex domain based on the VI is established. Third, an extended model of least absolute shrinkage and selectionator operator (LASSO) is solved by using linearized ADMM in complex domain. Finally, some numerical simulations are provided to show that linearized ADMM in complex domain has the rapid speed.
PDF      Download reader