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, or one of its high performance drop-in replacements (e.g. AMD's ACML or Intel's MKL).

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 preliminary support for sparse matrices
• added economical QR decomposition: qr_econ()
• added .each_col() & .each_row(), for vector operations repeated on each column/row
• faster randn()
• faster singular value decomposition via divide-and-conquer algorithm

BibTeX Entry: Download

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

Data Formats: Ascii, Binary, Hdf, Csv

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

Archive: download here

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