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 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.
Read Less
Add this copy of Numerical Methods for Large Eigenvalue Problems / to cart. $235.00, like new condition, Sold by MW Books rated 5.0 out of 5 stars, ships from Galway, G, IRELAND, published 1992 by Manchester, UK New York: Manchester University Press; Halsted Press.
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Seller's Description:
Physical description: 346 pages: illustrations; 24 cm. Subject: Nonsymmetric matrices. Eigenvalues. Matrices. 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.
