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
β¦ LIBER β¦
A blocked QR-decomposition for the parallel symmetric eigenvalue problem
β Scribed by Auckenthaler, T.; Huckle, T.; Wittmann, R.
- Book ID
- 122158252
- Publisher
- Elsevier Science
- Year
- 2014
- Tongue
- English
- Weight
- 671 KB
- Volume
- 40
- Category
- Article
- ISSN
- 0167-8191
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
A Parallel QR Algorithm for the Symmetri
β
L. Kaufman
π
Article
π
1994
π
Elsevier Science
π
English
β 478 KB
A parallel QR algorithm for the nonsymme
β
Daniel Boley; Robert Maier; Joung Kim
π
Article
π
1989
π
Elsevier Science
π
English
β 973 KB
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
NEW PARALLEL STRATEGIES FOR BLOCK UPDATI
β
KONTOGHIORGHES, ERRICOS J.
π
Article
π
1995
π
Taylor and Francis Group
π
English
β 203 KB
A parallel Lanczos method for symmetric
β
Kesheng Wu; Horst Simon
π
Article
π
1999
π
Springer-Verlag
π
English
β 162 KB
A block preconditioned steepest descent
β
Jian, Shuai
π
Article
π
2013
π
Elsevier Science
π
English
β 757 KB
A parallel algorithm for the dense symme
β
T.Z Kalamboukis
π
Article
π
1992
π
Elsevier Science
π
English
β 391 KB