Armadillo is a powerful and expressive C++ template library for linear algebra aiming towards a good balance between speed and ease of use with a syntax deliberately close to a Matlab.
This release brings a considerable amount of new code extending support for sparse matrices, support for Schur decompositions, and much more as shown in the extract from
Changes in RcppArmadillo version 0.5.300.4 (2015-08-03)
Upgraded to Armadillo 5.300.4 (“Plutocrazy Incorporated”)
added generalised Schur decomposition:
interp1()to handle out-of-domain locations
expanded sparse matrix class with
conj()to handle sparse matrices
resize()to handle sparse matrices
updated physical constants to NIST 2014 CODATA values
fixes for handling sparse submatrix views
Armadillo can make use of GPUs by linking with NVIDIA NVBLAS (a GPU-accelerated implementation of BLAS), or by linking with AMD ACML (which can use GPUs via OpenCL)
importFromstatements for R functions not from base
Rcpp::sourceCpp()reference as well
Updated one formatting detail in vignette to please TeXlive2015
Courtesy of CRANberries, there is also a diffstat report for the most recent CRAN release. As always, more detailed information is on the RcppArmadillo page. Questions, comments etc should go to the rcpp-devel mailing list off the R-Forge page.