A refined subspace iteration algorithm for large sparse eigenproblems
โ Scribed by Zhongxiao Jia
- Book ID
- 108415956
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 138 KB
- Volume
- 32
- Category
- Article
- ISSN
- 0168-9274
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
When the matrix in question is uns)xnmetric, the approximate eigenvectors or Ritz vectors obtained by orthogonal projection methods including Arnoldi's method and the block Arnoldi method cannot be guaranteed to converge in theory even if the corresponding approximate eigenvalues or Ritz values do.
## The shift-and-invert Arnoldi method has been popularly used for computing a number of eigenvalues close to a given shift and/or the associated eigenvectors of a large unsymmetric matrix pair, but there is no guarantee for the approximate eigenvectors, Ritz vectors, obtained by this method to co