Templates for the Solution of Algebraic Eigenvalue Problems
Templates for the Solution of Algebraic Eigenvalue Problems
James Demmel
Jack Dongarra
Axel Ruhe
Henk van der Vorst
£63.00
GBPLarge-scale problems of engineering and scientific computing often require solutions of eigenvalue and related problems. This book gives a unified overview of theory, algorithms, and practical software for eigenvalue problems. It organizes this large body of material to make it accessible for the first time to the many nonexpert users who need to choose the best state-of-the-art algorithms and software for their problems. Using an informal decision tree, just enough theory is introduced to identify the relevant mathematical structure that determines the best algorithm for each problem. The algorithms and software at the 'leaves' of the decision tree range from the classical QR algorithm, which is most suitable for small dense matrices, to iterative algorithms for very large generalized eigenvalue problems. Algorithms are presented in a unified style as templates, with different levels of detail suitable for readers ranging from beginning students to experts.
Product details
June 2006Paperback
9780898714715
440 pages
255 × 175 × 24 mm
0.896kg
This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
Table of Contents
- List of symbols and acronyms
- List of iterative algorithm templates
- List of direct algorithms
- List of figures
- List of tables
- 1: Introduction
- 2: A brief tour of Eigenproblems
- 3: An introduction to iterative projection methods
- 4: Hermitian Eigenvalue problems
- 5: Generalized Hermitian Eigenvalue problems
- 6: Singular Value Decomposition
- 7: Non-Hermitian Eigenvalue problems
- 8: Generalized Non-Hermitian Eigenvalue problems
- 9: Nonlinear Eigenvalue problems
- 10: Common issues
- 11: Preconditioning techniques
- Appendix: of things not treated
- Bibliography
- Index .
