Seamless R and C++ Integration with Rcpp 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Seamless R and C++ Integration with Rcpp

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Dirk Eddelbuettel 作者
Springer
译者
2013-6-4 出版日期
248 页数
GBP 47.99 价格
Paperback
丛书系列
9781461468677 图书编码

Seamless R and C++ Integration with Rcpp 在线电子书 图书标签: R  C++  数据分析  统计  Statistics  Mathematics  Finance  编程   


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Seamless R and C++ Integration with Rcpp 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Seamless R and C++ Integration with Rcpp 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Seamless R and C++ Integration with Rcpp 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



Seamless R and C++ Integration with Rcpp 在线电子书 用户评价

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即使会C++,也建议先看看最后一章Appendix A C++ for R Programmers,了解C++很多专业名词,对阅读本书有益,我是从头看了一遍,感觉还要再看,如果想用C++编写R包的话,这本书估计躲不过了。

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即使会C++,也建议先看看最后一章Appendix A C++ for R Programmers,了解C++很多专业名词,对阅读本书有益,我是从头看了一遍,感觉还要再看,如果想用C++编写R包的话,这本书估计躲不过了。

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当穷尽一切优化R速度的方法之后,发现速度瓶颈是算法的时候,这本书让你打开新世界的大门。速度能提升几百倍的东西。人生苦短,我用Rcpp

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当穷尽一切优化R速度的方法之后,发现速度瓶颈是算法的时候,这本书让你打开新世界的大门。速度能提升几百倍的东西。人生苦短,我用Rcpp

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当穷尽一切优化R速度的方法之后,发现速度瓶颈是算法的时候,这本书让你打开新世界的大门。速度能提升几百倍的东西。人生苦短,我用Rcpp

Seamless R and C++ Integration with Rcpp 在线电子书 著者简介


Seamless R and C++ Integration with Rcpp 在线电子书 图书目录


Seamless R and C++ Integration with Rcpp 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Seamless R and C++ Integration with Rcpp 在线电子书 图书描述

Rcpp is the glue that binds the power and versatility of R with the speed and efficiency of C++. With Rcpp, the transfer of data between R and C++ is nearly seamless, and high-performance statistical computing is finally accessible to most R users. Rcpp should be part of every statistician's toolbox. -- Michael Braun, MIT Sloan School of Management "Seamless R and C++ integration with Rcpp" is simply a wonderful book. For anyone who uses C/C++ and R, it is an indispensable resource. The writing is outstanding. A huge bonus is the section on applications. This section covers the matrix packages Armadillo and Eigen and the GNU Scientific Library as well as RInside which enables you to use R inside C++. These applications are what most of us need to know to really do scientific programming with R and C++. I love this book. -- Robert McCulloch, University of Chicago Booth School of Business Rcpp is now considered an essential package for anybody doing serious computational research using R. Dirk's book is an excellent companion and takes the reader from a gentle introduction to more advanced applications via numerous examples and efficiency enhancing gems. The book is packed with all you might have ever wanted to know about Rcpp, its cousins (RcppArmadillo, RcppEigen .etc.), modules, package development and sugar. Overall, this book is a must-have on your shelf. -- Sanjog Misra, UCLA Anderson School of Management The Rcpp package represents a major leap forward for scientific computations with R. With very few lines of C++ code, one has R's data structures readily at hand for further computations in C++. Hence, high-level numerical programming can be made in C++ almost as easily as in R, but often with a substantial speed gain. Dirk is a crucial person in these developments, and his book takes the reader from the first fragile steps on to using the full Rcpp machinery. A very recommended book! -- Soren Hojsgaard, Department of Mathematical Sciences, Aalborg University, Denmark "Seamless R and C ++ Integration with Rcpp" provides the first comprehensive introduction to Rcpp. Rcpp has become the most widely-used language extension for R, and is deployed by over one-hundred different CRAN and BioConductor packages. Rcpp permits users to pass scalars, vectors, matrices, list or entire R objects back and forth between R and C++ with ease. This brings the depth of the R analysis framework together with the power, speed, and efficiency of C++. Dirk Eddelbuettel has been a contributor to CRAN for over a decade and maintains around twenty packages. He is the Debian/Ubuntu maintainer for R and other quantitative software, edits the CRAN Task Views for Finance and High-Performance Computing, is a co-founder of the annual R/Finance conference, and an editor of the Journal of Statistical Software. He holds a Ph.D. in Mathematical Economics from EHESS (Paris), and works in Chicago as a Senior Quantitative Analyst.

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