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
Efficient Implementation of the Multishift $QR$ Algorithm for the Unitary Eigenvalue Problem
β Scribed by David, Roden J. A.; Watkins, David S.
- Book ID
- 118215887
- Publisher
- Society for Industrial and Applied Mathematics
- Year
- 2006
- Tongue
- English
- Weight
- 148 KB
- Volume
- 28
- Category
- Article
- ISSN
- 0895-4798
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