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

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Item description for Numerical Methods for General and Structured Eigenvalue Problems (Lecture Notes in Computational Science and Engineering) by Daniel Kressner...

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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Item Specifications...


Pages   258
Est. Packaging Dimensions:   Length: 9.1" Width: 5.9" Height: 0.7"
Weight:   0.85 lbs.
Binding  Softcover
Release Date   Sep 1, 2005
Publisher   Springer
ISBN  3540245464  
ISBN13  9783540245469  


Availability  99 units.
Availability accurate as of May 26, 2017 03:27.
Usually ships within one to two business days from La Vergne, TN.
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Product Categories

1Books > Subjects > Professional & Technical > Professional Science > Mathematics > Applied > General
2Books > Subjects > Professional & Technical > Professional Science > Mathematics > Number Systems
3Books > Subjects > Science > General
4Books > Subjects > Science > Mathematics > Applied > General
5Books > Subjects > Science > Mathematics > General
6Books > Subjects > Science > Mathematics > Number Systems



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