Singular Value Decomposition and Its Applications

摘要：

In this paper, the theorem of singular value decomposition (SVD) is proved. It is shown that the singular value decomposition is an excellent tool for studying the condition number of matrix, least square problem and eigenproblem, etc.

关键词： singular value decomposition condition number eigenvalue eigenvector

作者: Qifang Su

作者单位: College of Mathematics and Information Engineering ,Taizhou University,Taizhou, Zhejiang 317000, China

会议类型: 国际会议

会议名称: The Third International Workshop on Applied Matriz Theory(第三届国际矩阵分析与应用会议)

会议地点: 杭州

会议语种:英文

页码: 903-907

在线出版日期: 2009-07-09（万方平台首次上网日期，不代表论文的发表时间）