Parallel Algorithms for Linear Models

Name: Parallel Algorithms for Linear Models
Brand: Springer
SKU: 9780792377207
Price: 553.26 RON
Availability: InStock

Numerical Methods and Estimation Problems

Autor: Erricos John Kontoghiorghes

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Legare: Copertă tare

Editura: Springer

Disponibilitate: În depozitul extern

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553.26 lei

Parallel Algorithms for Linear Models provides a complete and detailed account of the design, analys...

Informații despre carte

Autor

Erricos John Kontoghiorghes

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2000

Pagini

183

EAN

9780792377207

ISBN

0792377206

Enbook ID

01397220

Editura

Springer

Greutate

1050

Dimensiuni

155 x 235 x 16

Descriere completă

Parallel Algorithms for Linear Models provides a complete and detailed account of the design, analysis and implementation of parallel algorithms for solving large-scale linear models. It investigates and presents efficient, numerically stable algorithms for computing the least-squares estimators and other quantities of interest on massively parallel systems. The monograph is in two parts. The first part consists of four chapters and deals with the computational aspects for solving linear models that have applicability in diverse areas. The remaining two chapters form the second part, which concentrates on numerical and computational methods for solving various problems associated with seemingly unrelated regression equations (SURE) and simultaneous equations models. The practical issues of the parallel algorithms and the theoretical aspects of the numerical methods will be of interest to a broad range of researchers working in the areas of numerical and computational methods in statistics and econometrics, parallel numerical algorithms, parallel computing and numerical linear algebra. The aim of this monograph is to promote research in the interface of econometrics, computational statistics, numerical linear algebra and parallelism.

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Parallel Algorithms for Linear Models

Numerical Methods and Estimation Problems

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