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A SMALLEST SINGULAR VALUE METHOD FOR SOLVING INVERSE EIGENVALUE PROBLEMS

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.

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