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Volume 14, Issue 1
A Smallest Singular Value Method for Solving Inverse Eigenvalue Problems

S. F. Xu

J. Comp. Math., 14 (1996), pp. 23-31.

Published online: 1996-02

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  • Abstract

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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@Article{JCM-14-23, author = {S. F. Xu}, title = {A Smallest Singular Value Method for Solving Inverse Eigenvalue Problems}, journal = {Journal of Computational Mathematics}, year = {1996}, volume = {14}, number = {1}, pages = {23--31}, abstract = {

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.

}, issn = {1991-7139}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/jcm/9216.html} }
TY - JOUR T1 - A Smallest Singular Value Method for Solving Inverse Eigenvalue Problems AU - S. F. Xu JO - Journal of Computational Mathematics VL - 1 SP - 23 EP - 31 PY - 1996 DA - 1996/02 SN - 14 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/jcm/9216.html KW - AB -

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.

S. F. Xu. (1996). A Smallest Singular Value Method for Solving Inverse Eigenvalue Problems. Journal of Computational Mathematics. 14 (1). 23-31. doi:
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