A parallel algorithm for the dense symmetric eigenvalue problem on a transputer array
โ Scribed by T.Z Kalamboukis
- Publisher
- Elsevier Science
- Year
- 1992
- Tongue
- English
- Weight
- 391 KB
- Volume
- 18
- Category
- Article
- ISSN
- 0167-8191
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๐ SIMILAR VOLUMES
The implicit QR algorithm is a serial iterative algorithm for determining all the eigenvalues of an \(n \times n\) symmetric tridiagonal matrix \(A\). About \(3 n\) iterations, each requiring the serial application of about \(n\) similarity planar transformations, are required to reduce \(A\) to dia
This paper describes a prototype parallel algorithm for approximating eigenvalues of a dense nonsymmetric matrix on a linear, synchronous processor array. The algorithm is a parallel implementation of the explicitly-shifted QR, employing n distributed-memory processors to deliver all eigenvalues in