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.
Auflage
Sprache
Verlagsort
Zielgruppe
Editions-Typ
Produkt-Hinweis
Broschur/Paperback
Klebebindung
Maße
Höhe: 226 mm
Breite: 155 mm
Dicke: 18 mm
Gewicht
ISBN-13
978-1-61197-072-2 (9781611970722)
Schweitzer Klassifikation
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.
