| 書(shū)目名稱 | Parallel Algorithms for Linear Models |
| 副標(biāo)題 | Numerical Methods an |
| 編輯 | Erricos John Kontoghiorghes |
| 視頻video | http://file.papertrans.cn/741/740905/740905.mp4 |
| 叢書(shū)名稱 | Advances in Computational Economics |
| 圖書(shū)封面 |  |
| 描述 | .Parallel Algorithms for Linear Models. provides a completeand detailed account of the design, analysis and implementation ofparallel algorithms for solving large-scale linear models. Itinvestigates and presents efficient, numerically stable algorithms forcomputing the least-squares estimators and other quantities ofinterest on massively parallel systems. .The monograph is in two parts. The first part consists of fourchapters and deals with the computational aspects for solving linearmodels that have applicability in diverse areas. The remaining twochapters form the second part, which concentrates on numerical andcomputational methods for solving various problems associated withseemingly unrelated regression equations (SURE) and simultaneousequations models. .The practical issues of the parallel algorithms and the theoreticalaspects of the numerical methods will be of interest to a broad rangeof researchers working in the areas of numerical and computationalmethods in statistics and econometrics, parallel numerical algorithms,parallel computing and numerical linear algebra. The aim of thismonograph is to promote research in the interface of econometrics,computational statistics, nu |
| 出版日期 | Book 2000 |
| 關(guān)鍵詞 | algorithms; econometrics; linear algebra; regression; statistics |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4615-4571-2 |
| isbn_softcover | 978-1-4613-7064-2 |
| isbn_ebook | 978-1-4615-4571-2Series ISSN 0929-130X |
| issn_series | 0929-130X |
| copyright | Springer Science+Business Media New York 2000 |
|Archiver|手機(jī)版|小黑屋|
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