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
A Parallel Davidson-Type Algorithm for Several Eigenvalues
β Scribed by Leonardo Borges; Suely Oliveira
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 277 KB
- Volume
- 144
- Category
- Article
- ISSN
- 0021-9991
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β¦ Synopsis
In this paper we propose a new parallelization of the Davidson algorithm adapted for many eigenvalues. In our parallelization we use a relationship between two consecutive subspaces which allows us to calculate eigenvalues in the subspace through an arrowhead matrix. Theoretical timing estimates for the parallel algorithm are developed and compared against our numerical results on the Paragon. Finally our algorithm is compared against another recent parallel algorithm for multiple eigenvalues, but based on Arnoldi: PARPACK.
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