Provides a common setting for various methods of bounding the eigenvalues of a self-adjoint linear operator and emphasizes their relationships. A mapping principle is presented to connect many of the methods. The eigenvalue problems studied are linear, and linearization is shown to give important in
Variational methods for eigenvalue approximation
โ Scribed by Hans F. Weinberger
- Publisher
- Society for Industrial Mathematics
- Year
- 1987
- Tongue
- English
- Leaves
- 169
- Series
- CBMS-NSF Regional Conference Series in Applied Mathematics
- Edition
- 2
- Category
- Library
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Provides a common setting for various methods of bounding the eigenvalues of a self-adjoint linear operator and emphasizes their relationships. A mapping principle is presented to connect many of the methods. The eigenvalue problems studied are linear, and linearization is shown to give important in
Provides a common setting for various methods of bounding the eigenvalues of a self-adjoint linear operator and emphasizes their relationships. A mapping principle is presented to connect many of the methods. The eigenvalue problems studied are linear, and linearization is shown to give important in
This textbook presents a number of the most important numerical methods for finding eigenvalues and eigenvectors of matrices. The authors discuss the central ideas underlying the different algorithms and introduce the theoretical concepts required to analyze their behaviour. Several programming ex