In this introductory text, the fundamental algorithms of numerical linear algebra are developed in a parallel context. Topics include direct and iterative methods for solving linear systems, numerical methods for the eigenvector/eigenvalue problem and applications to Monte Carlo methods.
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Ronald W. Shonkwiler is a Professor in the School of Mathematics at the Georgia Institute of Technology. He has authored or co-authored over 50 research papers in areas of functional analysis, mathematical biology, image processing algorithms, fractal geometry, neural networks and Monte Carlo optimization methods. His algorithm for monochrome image comparison is part of a US patent for fractal image compression. He has co-authored two other books, An Introduction to the Mathematics of Biology and The Handbook of Stochastic Analysis and Applications.
Lew Lefton is the Director of Information Technology at the Georgia Institute of Technology where he has built and maintained several computing clusters which are used to implement parallel computations. Prior to that he was a tenured faculty member in the Department of Mathematics at the University of New Orleans. His academic interests are in differential equations, applied mathematics, numerical analysis (in particular, finite element methods) and scientific computing.
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Condición: New. In this introductory text, the fundamental algorithms of numerical linear algebra are developed in a parallel context. Series Editor(s): Ablowitz, Mark J.; Davis, S. H.; Hinch, E. J.; Iserles, A.; Ockendon, J.; Olver, P. J. Series: Cambridge Texts in Applied Mathematics. Num Pages: 300 pages, 10 tables 120 exercises. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 228 x 152 x 18. Weight in Grams: 432. . 2006. Illustrated. paperback. . . . . Nº de ref. del artículo: V9780521683371
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