Numerical Methods for General and Structured Eigenvalue Problems
โ Scribed by Daniel Kressner (auth.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 2005
- Tongue
- English
- Leaves
- 266
- Series
- Lecture Notes in Computational Science and Engineering 46
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Subjects
Computational Mathematics and Numerical Analysis; Systems Theory, Control; Computational Science and Engineering
๐ SIMILAR VOLUMES
<p>The purpose of this book is to describe recent developments in solving eig- value problems, in particular with respect to the QR and QZ algorithms as well as structured matrices. Outline Mathematically speaking, the eigenvalues of a square matrix A are the roots of its characteristic polynomial d
<P>This book is about computing eigenvalues, eigenvectors and invariant subspaces of matrices. The treatment includes generalized and structured eigenvalue problems, such as Hamiltonian or product eigenvalue problems. All vital aspects of eigenvalue computations are covered: theory, perturbation ana
This book is about computing eigenvalues, eigenvectors, and invariant subspaces of matrices. Treatment includes generalized and structured eigenvalue problems and all vital aspects of eigenvalue computations. A unique feature is the detailed treatment of structured eigenvalue problems, providing ins
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