## 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
A concurrent algorithm for parallel calculation of eigenvalues and eigenvectors of real symmetric matrices
✍ Scribed by Ramon Carbo; Lluís Molino; Blanca Calabuig
- Publisher
- John Wiley and Sons
- Year
- 1992
- Tongue
- English
- Weight
- 412 KB
- Volume
- 13
- Category
- Article
- ISSN
- 0192-8651
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✦ Synopsis
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 rest. Examples based on diagonally dominant real symmetric matrices are given.
📜 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.