Numerical Methods for Large Eigenvalue Problems Paperback: 66 (Classics in Applied Mathematics, Series Number 66) - Tapa blanda
Sinopsis
This revised edition discusses the numerical methods for computing the eigenvalues and eigenvectors of large sparse matrices.
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Acerca del autor
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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