Parallel algorithms for linear models
numerical methods and estimation problems
by Erricos John Kontoghiorghes
"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 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."--BOOK JACKET.
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Parallel algorithms for linear models: numerical methods and estimation problems
2000, Kluwer Academic
in English
0792377206 9780792377207
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Includes bibliographical references (p. [163]-175) and indexes.
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- Created October 29, 2008
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| July 19, 2024 | Edited by MARC Bot | import existing book |
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| October 29, 2008 | Created by ImportBot | Imported from Library of Congress MARC record |