Numerical Methods for Large Eigenvalue Problems - Couverture rigide

Saad, Yousef

 
9780719033865: Numerical Methods for Large Eigenvalue Problems

Synopsis

This monograph, part of a series dealing with advanced scientific computing, deals with sparse matrices, perturbation theory and error analysis, spectral approximation, eigenvalue problems and more. The series of monographs reflects the advent of vector and parallel processing and the development of new algorithms and techniques, some of which relate to parallelism and some of which are due to the emergence of new methods in applied mathematics.

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Présentation de l'éditeur

This revised edition discusses numerical methods for computing the 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. Each chapter was updated by shortening or deleting outdated topics, adding topics of more recent interest and adapting the Notes and References section. Significant changes have been made to Chapters 6 through 8, which describe algorithms and their implementations and now include topics such as the implicit restart techniques, the Jacobi–Davidson method and automatic multilevel substructuring.

Biographie de l'auteur

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.

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Autres éditions populaires du même titre

9781611970722: Numerical Methods for Large Eigenvalue Problems

Edition présentée

ISBN 10 :  1611970725 ISBN 13 :  9781611970722
Editeur : Society for Industrial and Appli..., 2011
Couverture souple