Description:

Armadillo is a template C++ linear algebra library (matrix maths) aiming towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided via an optional integration with LAPACK and ATLAS libraries.

A delayed evaluation approach is employed (during 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.

This library is useful if C++ has been decided as the language of choice (due to speed and/or integration capabilities), rather than another language like Matlab or Octave. It is distributed under a license that is useful in both open-source and commercial contexts.

Changes to previous version:

• Added detection of MKL & ACML (high speed LAPACK) during installation
• Added MSVC project files for compiling examples
• Added conversions to/from std::vector
• Added convolution operation
• Added toeplitz()
• Added matrix initialisation via the << operator
• More flexible reshape()
• More consistent success indication by decomposition functions
• Faster compilation by omitting Boost where possible
• Various speedups and bug fixes

BibTeX Entry: Download

Supported Operating Systems: Linux, Windows, Unix, Mac Os X

Data Formats: Ascii, Binary

Tags: Matrix Library, Atlas, Lapack, Linear Algebra, Templates

Archive: download here

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