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Handbook of Parallel Computing and Statistics

Handbook of Parallel Computing and Statistics by Erricos John Kontoghiorghes
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General—Parallel Computing
A Brief Introduction to Parallel Computing; M. Paprzycki and P. Stpiczyński
Parallel Computer Architecture; T. Trancoso and P. Evripidou
Fortran and Java for High-Performance Computing; H. Perrott, C. Phillipe and T. Stitt
Parallel Algorithms for the Singular Value Decomposition; M.W. Berry, D. Mezher, B. Philippe and A. Sameh
Iterative Methods for the Partial Eigensolution of Symmetric Matrices on Parallel Machines; M. Clint
Optimization
Parallel Optimization Methods; Y. Censor and S.A. Zenios
Parallel Computing in Global Optimization; M. D’Apuzzo, M. Marino, A. Migdalas, P.M. Pardalos and G. Toraldo
Nonlinear Optimization: A Parallel Linear Algebra Standpoint; M. D’Apuzzo, M. Marino, A. Migdalas and P.M. Pardalos
Statistical Applications
On Some Statistical Methods for Parallel Computation; E.J. Wegman
Parallel Algorithms for Predictive Modeling; M. Hegland
Parallel Programs for Adaptive Designs; Q.F. Stout and J. Hardwick
A Modular VLSI Architecture for the Real-Time Estimation of Higher Order Moments and Cumulants; S. Manolakos
Principal Component Analysis for Information Retrieval; M.W. Berry and D.I. Martin
Matrix Rank Reduction for Data Analysis and Feature Extraction; H. Park and L. Elden
Parallel Computation in Econometrics: A Simplified Approach; J.A. Doornik, N. Shephard and D.F. Hendry
Parallel Bayesian Computation; D.J. Wilkinson
Index
CRC Press; December 2005
548 pages; ISBN 9781420028683
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Title: Handbook of Parallel Computing and Statistics
Author: Erricos John Kontoghiorghes
 
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