A parallel algorithm for the eigenvalues and eigenvectors of a general complex matrix-Reference-Cited by-同舟云学术

A parallel algorithm for the eigenvalues and eigenvectors of a general complex matrix

Published:1990-12 Issue:1 Volume:58 Page:779-805
ISSN:0029-599X
Container-title:Numerische Mathematik
language:en
Short-container-title:Numer. Math.

Author:

Shroff Gautam M.

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computational Mathematics

Link

http://link.springer.com/article/10.1007/BF01385654/fulltext.html

Reference28 articles.

1. Bischof, C.: Computing the singular value decomposition on a distributed system of vector processors. Technical report 87 869, Department of Computer Science, Cornell University 1987

2. Brent, R.P., Luk, F.T.: The solution of singular-value and symmetric eigenvalue problems on multiprocessor arrays. SIAM J. Sci. Stat. Comput.6, 69?84 (1985)

3. Causey, R.L.: Computing eigenvalues of non hermitian matrices by methods of Jacobi type. J. SIAM6, 172?181 (1958)

4. Eberlein, P.J.: A Jacobi method for the automatic computation of eigenvalues and eigenvectors of an arbitrary matrix. J. SIAM10, 74?88 (1962)

5. Eberlein, P.J.: On the Schur decomposition of a matrix for parallel computation. IEEE Trans. Comput.36, 167?174 (1987)

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