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:

• faster handling of complex vectors by norm()
• expanded chol() to optionally specify output matrix as upper or lower triangular
• better handling of non-finite values when saving matrices as text files

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

Comments

No one has posted any comments yet. Perhaps you'd like to be the first?

Leave a comment

You must be logged in to post comments.