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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This revised edition discusses numerical methods for computing the eigenvalues and eigenvectors of large sparse matrices. For researchers in applied mathematics and scientific computing, and can also be used as a supplementary text for an advanced graduate course on these methods.
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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First Edition. Fine copy in the original paper-covered boards. Slightest suggestion only of dust-dulling to the spine bands and panel edges. Remains particularly well-preserved overall; tight, bright, clean and strong. Physical description: 346 pages : illustrations ; 24 cm. Subject: Nonsymmetric matrices. Eigenvalues. Matrices. 1 Kg. Seller Inventory # 383486
Quantity: 1 available