(Enter summary)
Abstract: The classical perturbation theory for matrix eigenvalue and singular value problems
provides bounds on the absolute differences between approximate eigenvalues
(singular values) and the true eigenvalues (singular values) of a matrix. These bounds
may be bad news for small eigenvalues (singular values), which thereby suffer worse
relative uncertainty than large ones. However, there are situations where even small
eigenvalues are determined to high relative accuracy by the data, much more... (Update)
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BibTeX entry: (Update)
Ren-Cang Li, `Relative perturbation theory: (I) Eigenvalue and singular value variations'. SIAM J. Matrix Anal. Appl. vol. 19 (1998), pp. 956{ 982. http://citeseer.ist.psu.edu/article/li96relative.html More
@misc{ li98relative,
author = "R. Li",
title = "Relative perturbation theory: (I) Eigenvalue and singular value variations",
text = "Ren-Cang Li, `Relative perturbation theory: (I) Eigenvalue and singular
value variations'. SIAM J. Matrix Anal. Appl. vol. 19 (1998), pp. 956{ 982.",
year = "1998",
url = "citeseer.ist.psu.edu/article/li96relative.html" }
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