中文版 | English
Title

三个算子的交替方向类算法(ADMM)进展

Author
Publication Years
2017
Conference Name
第十一届中国计算数学年会
Pages
83-83
Conference Date
20170721
Conference Place
西安
Abstract
  数据科学中的不少问题可以归结为(或松弛成)一个凸优化问题。乘子交替方向法(ADMM)是最优化提供给数据科学的重要方法。交替方向法处理两个可分离算子线性约束凸优化问题已经比较成熟,直接推广处理三个算子的问题却不能保证收敛,除非外加一些难于验证的条件或者不太切合实际的假设。
SUSTech Authorship
First
Language
Chinese
URL[Source Record]
Data Source
WanFang
WanFangID
10481790
Document TypeConference paper
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/401990
DepartmentSouthern University of Science and Technology
Affiliation
南方科技大学/南京大学
First Author AffilicationSouthern University of Science and Technology
First Author's First AffilicationSouthern University of Science and Technology
Recommended Citation
GB/T 7714
何炳生. 三个算子的交替方向类算法(ADMM)进展[C],2017:83-83.
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