Parallel Algorithms for Linear Models

Name: Parallel Algorithms for Linear Models
Brand: Springer-Verlag New York Inc.
SKU: 9781461370642
Price: 39968 HUF
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Numerical Methods and Estimation Problems

Szerző: Erricos Kontoghiorghes

Nyelv:

Kötés: Puha kötésű

Kiadó: Springer-Verlag New York Inc.

Elérhetőség: Beszállítói készleten

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

Információk a könyvről

Szerző

Erricos Kontoghiorghes

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2012

oldal

183

EAN

9781461370642

ISBN

1461370647

Enbook ID

06796768

Kiadó

Springer-Verlag New York Inc.

Súly

320

Méretek

155 x 235 x 12

Teljes leírás

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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