Description:

Armadillo is a template C++ linear algebra library (matrix maths) aiming towards a good balance between speed and ease of use. The API is similar to MATLAB.

Provides efficient classes for vectors, matrices and cubes, as well as many functions which operate on the classes (eg. contiguous and non-contiguous submatrix views)

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 (eg. Intel MKL, AMD ACML, or OpenBLAS).

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 automatically 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.

Distributed under a license that is useful in both open-source and commercial/proprietary contexts.

Primarily developed at NICTA (Australia) by Conrad Sanderson, with contributions from around the world.

Changes to previous version:

• expanded sparse eigen-decomposition functions eigs_sym() and eigs_gen() to use an optional tolerance parameter
• expanded dense eigen-decomposition function eig_sym() to automatically fall back to standard decomposition method if divide-and-conquer fails
• expanded interactions between cube tubes and vectors
• fix for saving cubes in HDF5 format

BibTeX Entry: Download

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

Data Formats: Ascii, Binary, Hdf, Csv

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

Archive: download here

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