Semi-proximal Augmented Lagrangian-Based Decomposition Methods for Primal Block-Angular Convex Composite Quadratic Conic Programming Problems.

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Bibliographic Details
Title:	Semi-proximal Augmented Lagrangian-Based Decomposition Methods for Primal Block-Angular Convex Composite Quadratic Conic Programming Problems.
Authors:	Lam, Xin-Yee¹ (AUTHOR) mattohkc@math.nus.edu.sg, Sun, Defeng² (AUTHOR) defeng.sun@polyu.edu.hk, Toh, Kim-Chuan^1,3 (AUTHOR) mattohkc@math.nus.edu.sg
Source:	INFORMS Journal on Optimization. Summer2021, Vol. 3 Issue 3, p254-277. 24p.
Database:	Business Source Ultimate

Description
ISSN:	25751484
DOI:	10.1287/ijoo.2019.0048