Overview

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.

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9783540807636

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<p>From the reviews of the first edition: <p><p> 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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