Handbook of Parallel Computing and Statistics (eBook, PDF)

Redaktion: Kontoghiorghes, Erricos John

• Format: PDF

Produktbeschreibung

Technological improvements continue to push back the frontier of processor speed in modern computers. Unfortunately, the computational intensity demanded by modern research problems grows even faster. Parallel computing has emerged as the most successful bridge to this computational gap, and many popular solutions have emerged based on its concepts

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 552
• Erscheinungstermin: 21. Dezember 2005
• Englisch
• ISBN-13: 9781420028683
• Artikelnr.: 53188879

Autorenporträt

Erricos John Kontoghiorghes

Inhaltsangabe

General - Parallel Computing. A Brief Introduction to Parallel Computing.
Parallel Computer Architecture. Fortran and Java for High-Performance
Computing. Parallel Algorithms for the Singular Value Decomposition.
Iterative Methods for the Partial Eigensolution of Symmetric Matrices on
Parallel Machines. Optimization. Parallel Optimization Methods. Parallel
Computing in Global Optimization. Nonlinear Optimization: A Parallel Linear
Algebra Standpoint. Statistical Applications. On Some Statistical Methods
for Parallel Computation. Parallel Algorithms for Predictive Modeling.
Parallel Programs for Adaptive Designs. A Modular VLSI Architecture for the
Real-Time Estimation of Higher Order Moments and Cumulants. Principal
Component Analysis for Information Retrieval. Matrix Rank Reduction for
Data Analysis and Feature Extraction. Parallel Computation in Econometrics:
A Simplified Approach. Parallel Bayesian Computation. Index.