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Title Handbook of parallel computing and statistics / edited by Erricos John Kontoghiorghes.

Published Boca Raton, FL : Chapman & Hall/CRC, 2006.


Location Call No. Status
 UniM ERC  518.102855375 HAND    AVAILABLE
Physical description 530 pages : illustrations ; 27 cm.
Series Statistics, textbooks and monographs ; 184.
Statistics, textbooks and monographs ; v. 184.
Bibliography Includes bibliographical references and index.
Contents Ch. 1. A brief introduction to parallel computing / Marcin Paprzycki and Przemyslaw Stpiczynski -- Ch. 2. Parallel computer architecture / Pedro Trancoso and Paraskevas Evripidou -- Ch. 3. Fortran and Java for high-performance computing / R. Perrott, C. Phillips and T. Stitt -- Ch. 4. Parallel algorithms for the singular value decomposition / Michael W. Berry, Dani Mezher, Bernard Phillipe and Ahmed Sameh -- Ch. 5. Iterative methods for the partial eigensolution of symmetric matrices on parallel machines / Maurice Clint -- Ch. 6. Parallel optimization methods / Yair Censor and Stavros A. Zenios -- Ch. 7. Parallel computing in global optimization / Marco D'Apuzzo, Marina Marino, Athanasios Migdalas, Panos M. Pardalos and Gerardo Toraldo -- Ch. 8. Nonlinear optimization : a parallel linear algebra standpoint / Marco D'Apuzzo, Marina Marino, Athanasios Migdalas, Panos M. Pardalos and Gerardo Toraldo -- Ch. 9. On some statistical methods for parallel computation / Edward J. Wegman -- Ch. 10. Parallel algorithms for predictive modeling / Markus Hegland -- Ch. 11. Parallel programs for adaptive designs / Quentin F. Stout and Janis Hardwick -- Ch. 12. A modular VLSI architecture for the real-time estimation of higher order moments and cumulants / Elias S. Manolakos -- Ch. 13. Principal component analysis for information retrieval / Michael W. Berry and Dian I. Martin -- Ch. 14. Matrix rank reduction for data analysis and feature extraction / Haesun Park and Lars Elden -- Ch. 15. Parallel computation in econometrics : a simplified approach / Jurgen A. Doornik, Neil Shephard and David F. Hendry -- Ch. 16. Parallel Bayesian computation / Darren J. Wilkinson.
Summary "The Handbook of Parallel Computing and Statistics weaves together the principles and theoretical models of parallel computing with the design, analysis, and application of algorithms for solving statistical problems. Supplying practical tools for immediate implementation, this reference: provides an authoritative guide to the design, analysis, and implementation of parallel algorithms for statistical problems; collects recent research results, new directions, and novel contributions from leading experts; discusses parallel architectures, programming, and algorithms for parallel processing; and explores applications to statistical problems such as predictive modelling, information retrieval, and feature extraction."--BOOK JACKET.
Other author Kontoghiorghes, Erricos John.
Subject Parallel processing (Electronic computers) -- Handbooks, manuals, etc.
ISBN 082474067X (acid-free paper)