Numerical Methods for Large Eigenvalue Problems
Published on 26. May 2011
Book
Paperback/Softback
340 pages
978-1-61197-072-2 (ISBN)
Description
This revised edition 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.
More details
Edition
Revised edition
Language
English
Place of publication
Cambridge
United Kingdom
Target group
Professional and scholarly
Edition type
Revised edition
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 226 mm
Width: 155 mm
Thickness: 18 mm
Weight
386 gr
ISBN-13
978-1-61197-072-2 (9781611970722)
Schweitzer Classification
Person
Yousef Saad is a College of Science and Engineering Distinguished Professor in the Department of Computer Science at the University of Minnesota. His current research interests include numerical linear algebra, sparse matrix computations, iterative methods, parallel computing, numerical methods for electronic structure and data analysis. He is a Fellow of SIAM and the AAAS.
Content
- Chapter One: Background in Matrix Theory and Linear Algebra
- Chapter Two: Sparse Matrices
- Chapter Three: Perturbation Theory and Error Analysis
- Chapter Four: The Tools of Spectral Approximation
- Chapter Five: Subspace Iteration
- Chapter Six: Krylov Subspace Methods
- Chapter Seven: Filtering and Restarting Techniques
- Chapter Eight: Preconditioning Techniques
- Chapter Nine: Non-Standard Eigenvalue Problems
- Chapter Ten: Origins of Matrix Eigenvalue Problems