The RcppEigen package provides access from R (R Core Team 2012a) to the Eigen (Guennebaud, Jacob, and others 2012) C++ template library for numerical linear algebra. Rcpp (Eddelbuettel and François 2011, 2012) classes and specializations of the C++ templated functions as and wrap from Rcpp provide the "glue" for passing objects from R to C++ and back. Several introductory examples are presented. This is followed by an in-depth discussion of various available approaches for solving least-squares problems, including rank-revealing methods, concluding with an empirical run-time comparison. Last but not least, sparse matrix methods are discussed
Description The Rcpp package provides R functions as well as a C++ library which facilitate the inte...
Tpetra is a C++ library for linear algebra computations on high-performance distributed node systems...
Description The Rcpp package provides R functions as well as a C++ library which facilitate the inte...
The R statistical environment and language has demonstrated particular strengths for interactive dev...
The R statistical environment and language has demonstrated particular strengths for interactive dev...
The R statistical environment and language has demonstrated particular strengths for interactive dev...
The R statistical environment and language has demonstrated particular strengths for interactive dev...
The increasing availability of advanced-architecture computers is having a very signicant eect on al...
We present a generic programming methodology for expressing data structures and algorithms for high-...
We present a new C++ library design for linear algebra computations on high performance architecture...
The Rcpp package simplifies integrating C++ code with R. It provides a consistent C++ class hierarch...
This work addresses how the C++ programming language can be extended through libraries to enhance an...
The numerical solution of partial differential equations frequently requires the solution of large a...
When implementing functionality which requires sparse matrices, there are numerous storage formats t...
This note describes Rcpp sugar which has been introduced in version 0.8.3 of Rcpp (Eddelbuettel, Fra...
Description The Rcpp package provides R functions as well as a C++ library which facilitate the inte...
Tpetra is a C++ library for linear algebra computations on high-performance distributed node systems...
Description The Rcpp package provides R functions as well as a C++ library which facilitate the inte...
The R statistical environment and language has demonstrated particular strengths for interactive dev...
The R statistical environment and language has demonstrated particular strengths for interactive dev...
The R statistical environment and language has demonstrated particular strengths for interactive dev...
The R statistical environment and language has demonstrated particular strengths for interactive dev...
The increasing availability of advanced-architecture computers is having a very signicant eect on al...
We present a generic programming methodology for expressing data structures and algorithms for high-...
We present a new C++ library design for linear algebra computations on high performance architecture...
The Rcpp package simplifies integrating C++ code with R. It provides a consistent C++ class hierarch...
This work addresses how the C++ programming language can be extended through libraries to enhance an...
The numerical solution of partial differential equations frequently requires the solution of large a...
When implementing functionality which requires sparse matrices, there are numerous storage formats t...
This note describes Rcpp sugar which has been introduced in version 0.8.3 of Rcpp (Eddelbuettel, Fra...
Description The Rcpp package provides R functions as well as a C++ library which facilitate the inte...
Tpetra is a C++ library for linear algebra computations on high-performance distributed node systems...
Description The Rcpp package provides R functions as well as a C++ library which facilitate the inte...