Superquadratic convergence of DLASQ for computing matrix singular values
نویسندگان
چکیده
منابع مشابه
From convergence in measure to convergence of matrix-sequences through concave functions and singular values
Sequences of matrices with increasing size naturally arise in several areas of science, such as, for example, the numerical discretization of differential and integral equations. An approximation theory for sequences of this kind has recently been developed, with the aim of providing tools for computing their asymptotic singular value and eigenvalue distributions. The cornerstone of this theory...
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[15] D. O'Leary and G. W. Stewart. Computing the eigenvalues and eigenvectors of symmetric arrowhead matrices. [17] A. Sameh and D. Kuck. A parallel QR algorithm for symmetric tridiagonal matrices. [21] Zhonggang Zeng. The acyclic eigenproblem can be reduced to the arrowhead one. [22] Hongyuan Zha. A two-way chasing scheme for reducing a symmetric arrowhead matrix to tridiagonal form. Scientic ...
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Dedicated to Professor H. M. Srivastava on the Occasion of his Seventieth Birth Anniversary
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In this note we address the variational property of singular values of matrix and point out that a theorem in [Matrix Computations, John Hopkins University Press, Baltimore, MD, 1989,1993,1996] is incomplete. 2002 Elsevier Science Inc. All rights reserved.
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ژورنال
عنوان ژورنال: Journal of Computational and Applied Mathematics
سال: 2010
ISSN: 0377-0427
DOI: 10.1016/j.cam.2009.07.021