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Parallel Algorithms for Linear Models: Numerical Methods and Estimation Problems (Advances in Computational Economics, 15)

Erricos J. Kontoghiorghes
4.9/5 (21149 ratings)
Description: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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Parallel Algorithms for Linear Models: Numerical Methods and Estimation Problems (Advances in Computational Economics, 15). To get started finding Parallel Algorithms for Linear Models: Numerical Methods and Estimation Problems (Advances in Computational Economics, 15), you are right to find our website which has a comprehensive collection of manuals listed.
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0792377206

Parallel Algorithms for Linear Models: Numerical Methods and Estimation Problems (Advances in Computational Economics, 15)

Erricos J. Kontoghiorghes
4.4/5 (1290744 ratings)
Description: 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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Parallel Algorithms for Linear Models: Numerical Methods and Estimation Problems (Advances in Computational Economics, 15). To get started finding Parallel Algorithms for Linear Models: Numerical Methods and Estimation Problems (Advances in Computational Economics, 15), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
Format
PDF, EPUB & Kindle Edition
Publisher
Release
ISBN
0792377206
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