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Numerical Linear Algebra, Digital Signal Processing and Parallel Algorithms

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Numerical Linear Algebra, Digital Signal Processing and Parallel Algorithms Synopsis

Numerical linear algebra, digital signal processing, and parallel algorithms are three disciplines with a great deal of activity in the last few years. The interaction between them has been growing to a level that merits an Advanced Study Institute dedicated to the three areas together. This volume gives an account of the main results in this interdisciplinary field.

The following topics emerged as major themes of the meeting: - Singular value and eigenvalue decompositions, including applications, - Toeplitz matrices, including special algorithms and architectures, - Recursive least squares in linear algebra, digital signal processing and control, - Updating and downdating techniques in linear algebra and signal processing, - Stability and sensitivity analysis of special recursive least squares problems, - Special architectures for linear algebra and signal processing.

This book contains tutorials on these topics given by leading scientists in each of the three areas. A consider- able number of new research results are presented in contributed papers. The tutorials and papers will be of value to anyone interested in the three disciplines.

About This Edition

ISBN: 9783642755385
Publication date:
Author: Gene H Golub, Paul Van Dooren
Publisher: Springer an imprint of Springer Berlin Heidelberg
Format: Paperback
Pagination: 729 pages
Series: NATO ASI Subseries F
Genres: Algorithms and data structures
Numerical analysis
Expert systems / knowledge-based systems
Mathematical physics
Communications engineering / telecommunications
Mathematical theory of computation

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