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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