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Numerical Methods for General and Structured Eigenvalue Problems (Lecture Notes in Computational Science and Engineering)

Posted on 2010-04-14




Name:Numerical Methods for General and Structured Eigenvalue Problems (Lecture Notes in Computational Science and Engineering)
ASIN/ISBN:3540245464
Author:Daniel Kressner
Publisher:Springer (2005)
Language:English
Pages:Paperback, 258 pages
   Numerical Methods for General and Structured Eigenvalue Problems (Lecture Notes in Computational Science and Engineering)


Author: Daniel Kressner


Publisher: Springer (2005)


Binding: Paperback, 258 pages


pricer: $99.00


ISBN-10: 3540245464


editorialreviews

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 analysis, algorithms, high performance methodologies and software. The reader will learn about recently developed techniques which substantially improve the performance of some of the most widely numerical methods, the QR and the QZ algorithm as well as Krylov subspace methods. A unique feature of this book 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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