Block Krylov–Schur method for large symmetric eigenvalue problems
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics
Link
http://link.springer.com/content/pdf/10.1007/s11075-008-9192-9.pdf
Reference37 articles.
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2. Baglama, J., Calvetti, D., Reichel, L.: Irbleigs: a MATLAB program for computing a few eigenpairs of a large sparse Hermitian matrix. ACM Trans. Math. Software 5, 337–348 (2003)
3. Bai, Z., Day, D., Ye, Q.: ABLE: an adaptive block Lanczos method for non-Hermitian eigenvalue problems. SIAM J. Matrix Anal. Appl. 20, 1060–1082 (1999)
4. Bischof, C.H., Quintana-Ortí, G.: Computing rank-revealing QR factorizations of dense matrices. ACM Trans. Math. Software 24, 226–253 (1998)
5. Chelikowsky, J.R., Troullier, N., Saad, Y.: Finite-difference-pseudopotential method: electronic structure calculations without a basis. Phys. Rev. Lett. 72, 1240–1243 (1994)
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