Title | 三个算子的交替方向类算法(ADMM)进展 |
Author | |
Publication Years | 2017
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Conference Name | 第十一届中国计算数学年会
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Pages | 83-83
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Conference Date | 20170721
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Conference Place | 西安
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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
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Language | Chinese
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URL | [Source Record] |
Data Source | WanFang
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WanFangID | 10481790
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Document Type | Conference paper |
Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/401990 |
Department | Southern University of Science and Technology |
Affiliation | 南方科技大学/南京大学 |
First Author Affilication | Southern University of Science and Technology |
First Author's First Affilication | Southern 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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