SlackBuilds Repository

14.2 > Academic > armadillo (7.100.3)

Armadillo is a high quality C++ linear algebra library useful 
for development of algorithms in machine learning, pattern recognition,
signal processing, bioinformatics, statistics, etc.

Armadillo makes extensive use of template meta-programming, recursive templates
and template based function overloading. As such, C++ compilers which do not
fully implement the C++ standard may not work correctly.

The functionality of Armadillo is partly dependent on other libraries:
LAPACK, BLAS and ARPACK. The LAPACK and BLAS libraries are used for
dense matrices, while the ARPACK library is used for sparse matrices.
Armadillo can work without these libraries, but its functionality
will be reduced. In particular, basic functionality will be available
(eg. matrix addition and multiplication), but things like eigen
decomposition or matrix inversion will not be. Matrix multiplication
(mainly for big matrices) may not be as fast.

As Armadillo is a template library, we recommended that optimisation
is enabled during compilation of programs that use Armadillo.
For example, for GCC and Clang compilers use -O2 or -O3

Maintained by: Thiago Nascimento
Keywords: blas,lapack,linear algebra

Homepage:
http://arma.sourceforge.net/

Source Downloads:
armadillo-7.100.3.tar.xz (d047c1c24f4031e0e9374a7104e33ec0)

Download SlackBuild:
armadillo.tar.gz
armadillo.tar.gz.asc (FAQ)

(the SlackBuild does not include the source)

Individual Files:
README
armadillo.SlackBuild
armadillo.info
slack-desc

Validated for Slackware 14.2

See our HOWTO for instructions on how to use the contents of this repository.

Access to the repository is available via:
ftp git cgit http rsync

© 2006-2017 SlackBuilds.org Project. All rights reserved.
Slackware® is a registered trademark of Patrick Volkerding
Linux® is a registered trademark of Linus Torvalds
Web Design by WebSight Designs |  Managed Hosting by OnyxLight Communications