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Recovering low-rank matrices from corrupted observations via the linear conjugate gradient algorithm
Jin, Zheng-Fen[1]; Wang, Qiuyu[2]; Wan, Zhongping[3]
刊名JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
2014
卷号256页码:114-120
关键词Nuclear norm minimization Conjugate gradient method Alternating direction method Singular value thresholding Augmented Lagrangian function
ISSN号0377-0427
DOIhttp://dx.doi.org/10.1016/j.cam.2013.07.009
URL标识查看原文
收录类别SCI(E) ; EI
WOS记录号WOS:000325665900010
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/5235564
专题河南大学
作者单位1.[1]Wuhan Univ, Sch Math & Stat, Wuhan 430072, Peoples R China.
2.Henan Univ, Dept Math, Kaifeng 475001, Peoples R China.
3.[2]Henan Univ, Coll Software, Kaifeng 475001, Peoples R China.
4.[3]Wuhan Univ, Sch Math & Stat, Wuhan 430072, Peoples R China.
推荐引用方式
GB/T 7714
Jin, Zheng-Fen[1],Wang, Qiuyu[2],Wan, Zhongping[3]. Recovering low-rank matrices from corrupted observations via the linear conjugate gradient algorithm[J]. JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS,2014,256:114-120.
APA Jin, Zheng-Fen[1],Wang, Qiuyu[2],&Wan, Zhongping[3].(2014).Recovering low-rank matrices from corrupted observations via the linear conjugate gradient algorithm.JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS,256,114-120.
MLA Jin, Zheng-Fen[1],et al."Recovering low-rank matrices from corrupted observations via the linear conjugate gradient algorithm".JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS 256(2014):114-120.
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