Singular Value Decomposition and Its Applications
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.
singular value decomposition condition number eigenvalue eigenvector
Qifang Su
College of Mathematics and Information Engineering ,Taizhou University,Taizhou, Zhejiang 317000, China
国际会议
The Third International Workshop on Applied Matriz Theory(第三届国际矩阵分析与应用会议)
杭州
英文
903-907
2009-07-09(万方平台首次上网日期,不代表论文的发表时间)