| Port details |
- armadillo C++ linear algebra library
- 15.2.3 math
 =2      15.2.3Version of this port present on the latest quarterly branch. - Maintainer: sunpoet@FreeBSD.org
- Port Added: 2013-03-22 14:55:00
- Last Update: 2025-12-30 13:29:06
- Commit Hash: 6eee47b
- People watching this port, also watch:: jdictionary, py311-Automat, py311-python-gdsii, py311-PyOpenGL, p5-Sane
- License: APACHE20
- WWW:
- https://arma.sourceforge.net/
- https://gitlab.com/conradsnicta/armadillo-code
- Description:
- Armadillo is a C++ linear algebra library (matrix maths) aiming towards
a good balance between speed and ease of use. The syntax is deliberately
similar to Matlab.
Integer, floating point and complex numbers are supported, as well as a
subset of trigonometric and statistics functions. Various matrix
decompositions are provided through optional integration with LAPACK, or
one of its high performance drop-in replacements (such as the
multi-threaded MKL or ACML libraries).
A delayed evaluation approach is employed (at compile-time) to combine
several operations into one and reduce (or eliminate) the need for
temporaries. This is accomplished through recursive templates and
template meta-programming.
Useful for conversion of research code into production environments, or
if C++ has been decided as the language of choice, due to speed and/or
integration capabilities.
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- Manual pages:
- FreshPorts has no man page information for this port.
- pkg-plist: as obtained via:
make generate-plist - USE_RC_SUBR (Service Scripts)
- no SUBR information found for this port
- Dependency lines:
-
- armadillo>0:math/armadillo
- To install the port:
- cd /usr/ports/math/armadillo/ && make install clean
- To add the package, run one of these commands:
- pkg install math/armadillo
- pkg install armadillo
NOTE: If this package has multiple flavors (see below), then use one of them instead of the name specified above.- PKGNAME: armadillo
- Flavors: there is no flavor information for this port.
- distinfo:
- TIMESTAMP = 1766953314
SHA256 (armadillo-15.2.3.tar.xz) = 0182d67d6949e4347a0bc62fc8c2793be7eb203c71f19edff93f8c45fd4a8190
SIZE (armadillo-15.2.3.tar.xz) = 7092636
Packages (timestamps in pop-ups are UTC):
- Dependencies
- NOTE: FreshPorts displays only information on required and default dependencies. Optional dependencies are not covered.
- Build dependencies:
-
- cmake : devel/cmake-core
- ninja : devel/ninja
- pkgconf>=1.3.0_1 : devel/pkgconf
- Library dependencies:
-
- libarpack.so : math/arpack-ng
- libsuperlu.so : math/superlu
- liblapack.so : math/lapack
- libopenblas.so : math/openblas
- This port is required by:
- for Build
-
- math/ensmallen
- math/mlpack
- science/erkale
- for Libraries
-
- science/helfem
- for Run
-
- math/ensmallen
- math/mlpack
Configuration Options:- ===> The following configuration options are available for armadillo-15.2.3:
OPENBLAS_LAPACK=off: Use LAPACK function from OpenBLAS
===> Use 'make config' to modify these settings
- Options name:
- math_armadillo
- USES:
- blaslapack:openblas cmake:testing compiler:c++11-lang pkgconfig tar:xz
- FreshPorts was unable to extract/find any pkg message
- Master Sites:
|
Number of commits found: 201 (showing only 1 on this page)
| Commit History - (may be incomplete: for full details, see links to repositories near top of page) |
| Commit | Credits | Log message |
|---|
3.800.1
22 Mar 2013 14:54:43
  |
pawel |
Armadillo is a C++ linear algebra library (matrix maths) aiming towards a
good balance between speed and ease of use. The syntax is deliberately
similar to Matlab.
Integer, floating point and complex numbers are supported, as well as a
subset of trigonometric and statistics functions. Various matrix
decompositions are provided through optional integration with LAPACK, or
one of its high performance drop-in replacements (such as the
multi-threaded MKL or ACML libraries).
A delayed evaluation approach is employed (at compile-time) to combine
several operations into one and reduce (or eliminate) the need for
temporaries. This is accomplished through recursive templates and template
meta-programming.
Useful for conversion of research code into production environments, or if
C++ has been decided as the language of choice, due to speed and/or
integration capabilities.
WWW: http://arma.sourceforge.net/
PR: ports/177166
Submitted by: Pedro Giffuni <giffunip@tutopia.com> |
Number of commits found: 201 (showing only 1 on this page)
|
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