A block symmetric Gauss–Seidel decomposition theorem for convex composite quadratic programming and its applications
Crossref DOI link: https://doi.org/10.1007/s10107-018-1247-7
Published Online: 2018-02-23
Published Print: 2019-05
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Li, Xudong http://orcid.org/0000-0002-9275-1965
Sun, Defeng
Toh, Kim-Chuan
Funding for this research was provided by:
Ministry of Education - Singapore (R-146-000-194-112, R-146-000-194-112)
Text and Data Mining valid from 2018-02-23
Article History
Received: 24 May 2017
Accepted: 8 February 2018
First Online: 23 February 2018