Open AccessThe convergence rate analysis of the symmetric ADMM for the nonconvex separable optimization problems
Author(s) -
Zehui Jia,
Xue Gao,
Xingju Cai,
Deren Han
Publication year - 2021
Publication title -
journal of industrial and management optimization
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.325
H-Index - 32
eISSN - 1553-166X
pISSN - 1547-5816
DOI - 10.3934/jimo.2020053
Subject(s) - karush–kuhn–tucker conditions , mathematics , rate of convergence , sequence (biology) , separable space , augmented lagrangian method , bounded function , lagrange multiplier , convex function , convergence (economics) , mathematical optimization , function (biology) , multiplier (economics) , regular polygon , computer science , mathematical analysis , computer network , channel (broadcasting) , economics , economic growth , geometry , macroeconomics , evolutionary biology , biology , genetics