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	Model's sparse representation based on reduced mixed GMsFE basis methods
	Jiang, LJ; Li, QQ
刊名	Journal of Computational Physics
	2017
卷号	Vol.338页码:285-312
关键词	Mixed generalized multiscale finite element method Basis-oriented cross-validation method Least-squares method of snapshots Sparse tensor approximation
ISSN号	0021-9991
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/6037879
专题	湖南大学
作者单位	1.Hunan Univ, Inst Math, Changsha 410082, Hunan, Peoples R China 2.Hunan Univ, Coll Math & Econometr, Changsha 410082, Hunan, Peoples R China
推荐引用方式 GB/T 7714	Jiang, LJ,Li, QQ. Model's sparse representation based on reduced mixed GMsFE basis methods[J]. Journal of Computational Physics,2017,Vol.338:285-312.
APA	Jiang, LJ,&Li, QQ.(2017).Model's sparse representation based on reduced mixed GMsFE basis methods.Journal of Computational Physics,Vol.338,285-312.
MLA	Jiang, LJ,et al."Model's sparse representation based on reduced mixed GMsFE basis methods".Journal of Computational Physics Vol.338(2017):285-312.

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