Computational enhancement of an unsymmetric block Lanczos algorithm
β Scribed by Hyoung M. Kim; Roy R. Craig Jr.
- Publisher
- John Wiley and Sons
- Year
- 1990
- Tongue
- English
- Weight
- 260 KB
- Volume
- 30
- Category
- Article
- ISSN
- 0029-5981
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π SIMILAR VOLUMES
We present a storage-efficient and robust algorithm for the computation of eigenvectors of large sparse symmetrical matrices using a Lanczos scheme. The algorithm is based upon a linear combination of Lanczos vectors (LCLV) with a variable iteration depth. A simple method is given to determine the i
By choosing the discrete points associated with basis functions which compactly represent vibrational wavefunctions, but yield a sparse Hamiltonian matrix with a well-defined, easily exploitable structure, WC are able to apply Lanczos' algorithm efficiently to compute the lowest eigenvalues of varia