Backward Error Condition Numbers And Pseudospectrum For The Multiparameter Eigenvalue Problem

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Numerical Methods for General and Structured Eigenvalue Problems

Numerical Methods for General and Structured Eigenvalue Problems
Author :
Publisher : Springer Science & Business Media
Total Pages : 272
Release :
ISBN-10 : 9783540285021
ISBN-13 : 3540285024
Rating : 4/5 (024 Downloads)

Book Synopsis Numerical Methods for General and Structured Eigenvalue Problems by : Daniel Kressner

Download or read book Numerical Methods for General and Structured Eigenvalue Problems written by Daniel Kressner and published by Springer Science & Business Media. This book was released on 2006-01-20 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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