A numerical method for solving inverse eigenvalue problems

被引：0
|
作者：
Dai, H [1 ]
机构：
[1] Nanjing Univ Aeronaut & Astronaut, Dept Math, Nanjing 210016, Peoples R China
来源：
ESAIM-MATHEMATICAL MODELLING AND NUMERICAL ANALYSIS | 1999年 / 33卷 / 05期
关键词：
inverse eigenvalue problems; QR-like decomposition; least squares; Gauss-Newton method;
D O I：
暂无
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
Based on QR-like decomposition with column pivoting, a new and efficient numerical method for solving symmetric matrix inverse eigenvalue problems is proposed, which is suitable for both the distinct and multiple eigenvalue cases. A locally quadratic convergence analysis is given. Some numerical experiments are presented to illustrate our results. AMS Subject Classification. 65F15, 65H15.
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页码：1003 / 1017
页数：15
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