ALGORITHMS FOR INVERSE EIGENVALUE PROBLEMS

被引:0
|
作者
LI, RC [1 ]
机构
[1] CHINESE ACAD SCI,CTR COMP,BEIJING,PEOPLES R CHINA
关键词
D O I
暂无
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Two new algorithms based on QR decompositions (QRDs) (with column pivoting) are proposed for solving inverse eigenvalue problems, and under some non-singularity assumptions they are both locally quadratically convergent. Several numerical tests are presented to illustrate their convergence behavior.
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页码:97 / 111
页数:15
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