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001 289998
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008 150903s2013 xxu| o |||| 0|eng d
020 _a9781461468684
_99781461468684
024 7 _a10.1007/9781461468684
_2doi
035 _avtls000342031
039 9 _a201509030344
_bVLOAD
_c201405050237
_dVLOAD
_y201402061116
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQA276-280
100 1 _aEddelbuettel, Dirk.
_eautor
_9320472
245 1 0 _aSeamless R and C++ Integration with Rcpp /
_cby Dirk Eddelbuettel.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2013.
300 _axxviii, 220 páginas 7 ilustraciones, 4 ilustraciones en color.
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aUse R! ;
_v64
500 _aSpringer eBooks
505 0 _aPreface -- Introduction -- A Gentle Introduction to Rcpp -- Tools and Setup -- Core Data Types -- Data Structures: Part One -- Data Structures: Part Two -- Advanced Topics -- Using Rcpp in your package -- Extending Rcpp -- Modules -- Sugar -- Applications -- RInside -- RcppArmadillo -- RcppGSL -- RcppEigen Appendix -- C++ for R programmers -- Indices -- References .
520 _aRcpp 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! — Søren Højsgaard, Department of Mathematical Sciences, Aalborg University, Denmark Seamless R and C ++ Integration with Rcpp provides the first comprehensive introduction to Rcpp, which 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.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9781461468677
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-4614-6868-4
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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