MATLAB and Simulink Based Books

Numerical Methods for Large Eigenvalue Problems, Revised Edition

Numerical Methods for Large Eigenvalue Problems, Revised Edition

Written for researchers in applied mathematics and scientific computing, this book discusses numerical methods for computing eigenvalues and eigenvectors of large sparse matrices. It provides an in-depth view of the numerical methods that are applicable for solving matrix eigenvalue problems that arise in various engineering and scientific applications. Topics include matrix theory, sparse matrices, perturbation theory and error analysis, and Krylov subspace methods.

MATLAB is used to solve numerous examples in the book. In addition, a supplemental set of MATLAB code files is available for download.

Companion software available Retrieve companion software

MATLAB Courseware

Teaching materials based on MATLAB and Simulink

Find full courses & labs

Trials Available

Try the latest version of mathematical modeling products.

Get trial software

About This Book

Yousef Saad, University of Minnesota

SIAM, 2011

ISBN: 978-1-611970-72-2
Language: English