(This article was first published on

Conrad Sanderson has released a new major version 3.0.0 of his excellent Armadillo C++ template library for
linear algebra. A corresponding new release 0.3.0 of RcppArmadillo is now on CRAN.
This follows four pre-releases of Armadillo which we packaged as before, but
for reasons detailed in another post did not send to CRAN.**Thinking inside the box**, and kindly contributed to R-bloggers)All that said, here are the NEWS entries for all release since the last non-test release:

Courtesy of CRANberries, there is also a diffstat report for 0.3.0 relative to 0.2.36 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.0.3.0 2012-04-10 o Upgraded to Armadillo release 3.0.0 "Antarctic Chilli Ranch" * added non-contiguous submatrix views * added shorthand for inverse: .i() * added hist() and histc() * faster repmat() * faster handling of submatrix views with one row or column * faster generation of random numbers * faster element access in fixed size matrices * better detection of vector expressions by sum(), cumsum(), prod(), min(), max(), mean(), median(), stddev(), var() * expressions X=A.i()*B and X=inv(A)*B are automatically converted to X=solve(A,B) 0.2.40 2012-04-04 o Upgraded to Armadillo release 2.99.4 "Antarctic Chilli Ranch (Beta 4)" * fixes for handling expressions with fixed size matrices 0.2.39 2012-04-02 o Upgraded to Armadillo release 2.99.3 "Antarctic Chilli Ranch (Beta 3)" * faster repmat() * workarounds for braindead compilers (eg. Visual Studio) 0.2.38 2012-03-28 o Upgraded to Armadillo release 2.99.2 "Antarctic Chilli Ranch (Beta 2)" * added .i() * much faster handling of .col() and .row() * expressions X=A.i()*B and X=inv(A)*B are automatically converted to X=solve(A,B) 0.2.37 2012-03-19 o Upgraded to Armadillo release 2.99.1 "Antarctic Chilli Ranch (Beta 1)" * added non-contiguous submatrix views * added hist() and histc() * faster handling of submatrix views * faster generation of random numbers * faster element access in fixed size matrices * better detection of vector expressions by sum(), cumsum(), prod(), min(), max(), mean(), median(), stddev(), var()

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