Chen, Liang; Sun, Defeng; Toh, Kim Chuan; Zhang, Ning A unified algorithmic framework of symmetric Gauss-Seidel decomposition based proximal ADMMs for convex composite programming. (English) Zbl 07266711 J. Comput. Math. 37, No. 6, 739-757 (2019). MSC: 90C25 65K05 PDF BibTeX XML Cite \textit{L. Chen} et al., J. Comput. Math. 37, No. 6, 739--757 (2019; Zbl 07266711) Full Text: DOI
Chen, Liang; Sun, Defeng; Toh, Kimchuan Some problems on the Gauss-Seidel iteration method in degenerate cases. (Chinese. English summary) Zbl 1449.65052 J. Numer. Methods Comput. Appl. 40, No. 2, 98-110 (2019). MSC: 65F10 PDF BibTeX XML Cite \textit{L. Chen} et al., J. Numer. Methods Comput. Appl. 40, No. 2, 98--110 (2019; Zbl 1449.65052)
Chen, Liang; Sun, Defeng; Toh, Kim-Chuan A note on the convergence of ADMM for linearly constrained convex optimization problems. (English) Zbl 1367.90083 Comput. Optim. Appl. 66, No. 2, 327-343 (2017). MSC: 90C25 90C46 65K05 PDF BibTeX XML Cite \textit{L. Chen} et al., Comput. Optim. Appl. 66, No. 2, 327--343 (2017; Zbl 1367.90083) Full Text: DOI arXiv
Chen, Liang; Sun, Defeng; Toh, Kim-Chuan An efficient inexact symmetric Gauss-Seidel based majorized ADMM for high-dimensional convex composite conic programming. (English) Zbl 1356.90105 Math. Program. 161, No. 1-2 (A), 237-270 (2017). MSC: 90C25 90C22 90C06 65K05 PDF BibTeX XML Cite \textit{L. Chen} et al., Math. Program. 161, No. 1--2 (A), 237--270 (2017; Zbl 1356.90105) Full Text: DOI arXiv