Computing eigenvectors of block tridiagonal matrices based on twisted block factorizations
Author:
Funder
Austrian Science Fund (FWF)
Publisher
Elsevier BV
Subject
Applied Mathematics,Computational Mathematics
Reference18 articles.
1. Block tridiagonalization of effectively sparse symmetric matrices;Bai;ACM Trans. Math. Software,2004
2. C.H. Bischof, B. Lang, X. Sun, Parallel tridiagonalization through two-step band reduction, in: Proceedings of the 1994 Scalable High-Performance Computing Conference, Washington D.C., pp. 23–27.
3. A framework for symmetric band reduction;Bischof;ACM Trans. Math. Software,2000
4. P. Luszczek, H. Ltaief, J. Dongarra, Two-Stage tridiagonal reduction for dense symmetric matrices using tile algorithms on multicore architectures, Technical Report 244, LAPACK Working Note, 2011.
5. An extension of the divide-and-conquer method for a class of symmetric block-tridiagonal eigenproblems;Gansterer;ACM Trans. Math. Software,2002
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