A Parallel Implementation of the Eigenproblem for Large, Symmetric and Sparse Matrices-Reference-Cited by-同舟云学术

A Parallel Implementation of the Eigenproblem for Large, Symmetric and Sparse Matrices

Published:1999 Issue: Volume: Page:380-387
ISSN:0302-9743
Container-title:Recent Advances in Parallel Virtual Machine and Message Passing Interface
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Author:

Garzón E. M.,García I.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-48158-3_47

Reference12 articles.

1. Basermann, A.; Weidner, P. A parallel algorithm for determining all eigenvalues of large real symmetric tridiagonal matrices. Parallel Computing 18, pag 1129–1141. 1992.

2. Bernstein, H.J. An Accelerated Bisection Method for the Calculation of Eigenvalues of a Symmetric Tridiagonal Matrix. Numer. Math. 43, pag. 153–160. 1984.

3. Berry, M.W. Large-Scale Sparse Singular Value Computations. The International Journal of Supercomputer. Vol 6, pg. 171–186. 1992.

4. Cullum, J.K. and Willoughby, R.A. Lanczos Algorithms for Large Symmetric Eigenvalue Computations. Vol. I Theory. Birkhauser Boston, Inc., 1985.

5. Duff, I.S.; Grimes, R.G. and Lewis, J.G. User’s Guide for the Harwell-Boeing Sparse Matrix Collection. Research and Technology Division, Boeing Computer Services. 1992.

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