Description:

Armadillo is a high quality linear algebra library (matrix maths) for the C++ language, aiming towards a good balance between speed and ease of use.

Useful for algorithm development directly in C++, or quick conversion of research code into production environments (eg. software & hardware products).

Provides high-level syntax (API) deliberately similar to MATLAB.

Provides efficient classes for vectors, matrices and cubes, as well as 200+ associated functions; integer, floating point and complex numbers are supported.

Various matrix decompositions are provided through integration with LAPACK, or one of its high performance drop-in replacements (eg. multi-threaded Intel MKL, AMD ACML, or OpenBLAS).

A sophisticated expression evaluator (based on template meta-programming) automatically combines several operations to increase speed and efficiency.

Primarily developed at Data61/CSIRO (Australia) by Conrad Sanderson, with contributions from around the world.

Changes to previous version:

• eigs_sym(), eigs_gen() and svds() now use a built-in reimplementation of ARPACK; contributed by Yixuan Qiu
• faster handling of compound expressions by vectorise()
• added .index_min() and .index_max()
• added erf(), erfc(), lgamma()
• added .head_slices() and .tail_slices() to subcube views
• expanded ind2sub() to handle vectors of indices
• expanded sub2ind() to handle matrix of subscripts
• expanded expmat(), logmat() and sqrtmat() to optionally return a bool indicating success
• spsolve() now requires SuperLU 5.2

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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