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	Symmetric low-rank corrections to quadratic models
	Qian, Jiang ; Xu, Shu-Fang ; Bai, Feng-Shan
	2009
关键词	quadratic model symmetric low-rank correcting numerical method EIGENSTRUCTURE ASSIGNMENT PENCIL
英文摘要	In this paper, we study the quadratic model updating problems by using symmetric low-rank correcting, which incorporates the measured model data into the analytical quadratic model to produce an adjusted model that matches the experimental model data, and minimizes the distance between the analytical and updated models. We give a necessary and sufficient condition on the existence of solutions to the symmetric low-rank correcting problems under some mild conditions, and propose two algorithms for finding approximate solutions to the corresponding optimization problems. The good performance of the two algorithms is illustrated by numerical examples. Copyright (C) 2008 John Wiley & Sons, Ltd.; Mathematics, Applied; Mathematics; SCI(E); 2; ARTICLE; 5; 397-413; 16
语种	英语
出处	SCI
出版者	numerical linear algebra with applications
内容类型	其他
源URL	[http://hdl.handle.net/20.500.11897/246303]
专题	数学科学学院
推荐引用方式 GB/T 7714	Qian, Jiang,Xu, Shu-Fang,Bai, Feng-Shan. Symmetric low-rank corrections to quadratic models. 2009-01-01.

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