(This article was first published on

**Thinking inside the box**, and kindly contributed to R-bloggers)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.

All that said, here are the NEWS entries for all release since the last

non-test release:

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()

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.

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