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Parallel Scientific Computing and Optimization

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Parallel Scientific Computing and Optimization Synopsis

This work introduces new developments in the construction, analysis and implementation of parallel computing algorithms. Key features include: construction and analysis of parallel algorithms for linear algebra and optimization problems, different aspects of parallel architechtures, and a wide range of industrial applications.

About This Edition

ISBN: 9780387097060
Publication date:
Author: Raimondas Ciegis
Publisher: Springer an imprint of Springer New York
Format: Hardback
Pagination: 274 pages
Series: Springer Optimization and Its Applications
Genres: Probability and statistics
Stochastics
Management decision making
Operational research
Algebra
Mathematical theory of computation
Artificial intelligence

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