Numerical Methods for General and Structured Eigenvalue Problems
(Sprache: Englisch)
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...
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Klappentext zu „Numerical Methods for General and Structured Eigenvalue Problems “
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 insight on accuracy and efficiency gains to be expected from algorithms that take the structure of a matrix into account.
Inhaltsverzeichnis zu „Numerical Methods for General and Structured Eigenvalue Problems “
The QR Algorithm.- The QZ Algorithm.- The Krylov-Schur Algorithm.- Structured Eigenvalue Problems.- Background in Control Theory Structured Eigenvalue Problems.- Software.
Bibliographische Angaben
- Autor: Daniel Kressner
- 2005, 258 Seiten, 32 Schwarz-Weiss-Abbildungen, Masse: 15,6 x 23,7 cm, Kartoniert (TB), Englisch
- Verlag: Springer
- ISBN-10: 3540245464
- ISBN-13: 9783540245469
- Erscheinungsdatum: 15.07.2005
Sprache:
Englisch
Rezension zu „Numerical Methods for General and Structured Eigenvalue Problems “
From the reviews of the first edition:"This book deals with the numerical methods for general and structured eigenvalue problems. ... These lecture notes provide a detailed treatment and an updated account on the various eigenvalue algorithms and related topics ... . In today's world of computing, it is certainly a valuable reference and tool for anyone using methods of numerical linear algebra." -- Amin Boumenir, Zentralblatt MATH, Vol. 1079, 2006
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