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	A Sequential Semismooth Newton Method for the Nearest Low-rank Correlation Matrix Problem
	Li, Qingna; Qi, Hou-Duo
刊名	SIAM Journal on Optimization
	2011
卷号	Vol.21 No.4页码:1641-1666
关键词	low-rank correlation matrix quadratic semidefinite programming semismooth Newton method quadratic convergence constraint nondegeneracy
ISSN号	1052-6234
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/6514586
专题	湖南大学
作者单位	1.College of Mathematics and Econometrics, Hunan University, Changsha, Hunan, China 2.Institute of Computational Mathematics and Scientific/Engineering Computing, Chinese Academy of Sciences, Beijing 100190, China 3.School of Mathematics, University
推荐引用方式 GB/T 7714	Li, Qingna,Qi, Hou-Duo. A Sequential Semismooth Newton Method for the Nearest Low-rank Correlation Matrix Problem[J]. SIAM Journal on Optimization,2011,Vol.21 No.4:1641-1666.
APA	Li, Qingna,&Qi, Hou-Duo.(2011).A Sequential Semismooth Newton Method for the Nearest Low-rank Correlation Matrix Problem.SIAM Journal on Optimization,Vol.21 No.4,1641-1666.
MLA	Li, Qingna,et al."A Sequential Semismooth Newton Method for the Nearest Low-rank Correlation Matrix Problem".SIAM Journal on Optimization Vol.21 No.4(2011):1641-1666.

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