Parallel Algorithms for Linear Models is popular PDF and ePub book, written by Erricos Kontoghiorghes in 2000-01-31, it is a fantastic choice for those who relish reading online the Business & Economics genre. Let's immerse ourselves in this engaging Business & Economics book by exploring the summary and details provided below. Remember, Parallel Algorithms for Linear Models can be Read Online from any device for your convenience.
Parallel Algorithms for Linear Models Book PDF Summary
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.
Detail Book of Parallel Algorithms for Linear Models PDF
- Author : Erricos Kontoghiorghes
- Release : 31 January 2000
- Publisher : Springer Science & Business Media
- ISBN : 0792377206
- Genre : Business & Economics
- Total Page : 216 pages
- Language : English
- PDF File Size : 15,9 Mb
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