A SMALLEST SINGULAR VALUE METHOD FOR SOLVING INVERSE EIGENVALUE PROBLEMS

作     者：S.F. Xu(Department of Mathematics, Peking University, Beijing) 

作者机构：BEIJING UNIVDEPT MATHBEIJING 100871PEOPLES R CHINA 

出 版 物：《Journal of Computational Mathematics》 (计算数学（英文）)

年 卷 期：1996年第14卷第1期

页      面：23-31页

核心收录：

学科分类：07[理学] 070104[理学-应用数学] 0701[理学-数学] 

基　　金：国家863计划 

主　　题：Math A SMALLEST SINGULAR VALUE METHOD FOR SOLVING INVERSE EIGENVALUE PROBLEMS 

摘      要：Utilizing the properties of the smallest singular value of a matrix, we propose a new, efficient and reliable algorithm for solving nonsymmetric matrix inverse eigenvalue problems, and compare it with a known method. We also present numerical experiments which illustrate our results.