Two New Customized Proximal Point Algorithms Without Relaxation for Linearly Constrained Convex Optimization
Crossref DOI link: https://doi.org/10.1007/s41980-019-00298-0
Published Online: 2019-10-23
Published Print: 2020-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Jiang, Binqian
Peng, Zheng https://orcid.org/0000-0003-2932-4765
Deng, Kangkang
Funding for this research was provided by:
National Natural Science Foundation of China (11571074, 11726505)
Text and Data Mining valid from 2019-10-23
Version of Record valid from 2019-10-23
Article History
Received: 4 May 2018
Revised: 31 August 2019
Accepted: 14 September 2019
First Online: 23 October 2019