11-14-2011, 11:05 AM
Numerical Methods for General and Structured Eigenvalue Problems
Author: Daniel Kressner | Size: 1.7 MB | Format: PDF | Publisher: Springer | Year: September 1, 2005 | pages: 258 | ISBN: 3540245464, ISBN-13: 978-3540245469
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.
Editorial Reviews
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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