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Convergence of algorithms for finding eigenvectors

Convergence of algorithms for finding eigenvectors In this paper we give a rigorous analysis of convergence of algorithms for finding eigenvectors of a real symmetric matrix. The algorithms are deterministics and our methods are very intuitive. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Acta Mathematicae Applicatae Sinica Springer Journals

Convergence of algorithms for finding eigenvectors

Acta Mathematicae Applicatae Sinica , Volume 16 (4) – Jul 7, 2007

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References (7)

Publisher
Springer Journals
Copyright
Copyright © 2000 by Science Press
Subject
Mathematics; Applications of Mathematics; Math Applications in Computer Science; Theoretical, Mathematical and Computational Physics
ISSN
0168-9673
eISSN
1618-3932
DOI
10.1007/BF02671124
Publisher site
See Article on Publisher Site

Abstract

In this paper we give a rigorous analysis of convergence of algorithms for finding eigenvectors of a real symmetric matrix. The algorithms are deterministics and our methods are very intuitive.

Journal

Acta Mathematicae Applicatae SinicaSpringer Journals

Published: Jul 7, 2007

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