Elementary Jacobi Rotations are used as the basic tools to obtain eigenvalues and eigenvectors of arbitrary real symmetric matrices. The proposed algorithm has a complete concurrent structure, that is: every eigenvalueeigenvector pair can be obtained in any order and in an independent way from the r
Iterative calculation of eigenvalues and eigenvectors of large, real matrix systems with overlap
✍ Scribed by G. A. Gallup
- Publisher
- John Wiley and Sons
- Year
- 1982
- Tongue
- English
- Weight
- 262 KB
- Volume
- 3
- Category
- Article
- ISSN
- 0192-8651
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✦ Synopsis
Abstract
An improved method for obtaining a few eigenvalues and eigenvectors of the symmetric matrix system is presented:
where S ≠ I. The method allows us to handle larger systems more easily than any other known to the author. It requires the inversion of S, and N^3^ step, but thereafter each eigenvector and eigenvalue is obtained in a length of time proportional to N^2^. The relation of this method to the MOR and MMOR methods developed recently for handling the case, S = I, is discussed.
📜 SIMILAR VOLUMES
New methods for the iterative calculation of a few of the lowest eigenvalues and corresponding eigenvectors of a generalized eigenvalue problem are proposed. These methods use only multiplication of the A and B matrices on a vector. 0 1994 by John Wiley & Sons, Inc.