Handbook of Parallel Computing and Statistics

Herausgeber: Kontoghiorghes, Erricos John

• Broschiertes Buch

Produktbeschreibung

This unique reference weaves together the principles and theoretical models of parallel computing with the design, analysis, and application of algorithms for solving statistical problems. After a brief introduction to parallel computing, the book explores the architecture, programming, and computational aspects of parallel processing. Focus then t

Produktdetails

• Verlag: Chapman and Hall/CRC
• Seitenzahl: 548
• Erscheinungstermin: 30. Juni 2020
• Englisch
• Abmessung: 254mm x 178mm x 29mm
• Gewicht: 1018g
• ISBN-13: 9780367577926
• ISBN-10: 0367577925
• Artikelnr.: 74838448

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.