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 or OpenBLAS).

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

Primarily developed by Conrad Sanderson, with contributions from around the world.

Changes to previous version:

• more accurate sparse eigen decomposition by eigs_sym() and eigs_gen()
• more robust handling of non-square matrices by lu()
• expanded qz() to optionally specify ordering of the Schur form
• expanded .each_slice() in the Cube class to support matrix multiplication
• expanded several functions to handle sparse matrices
• added expmat_sym(), logmat_sympd(), sqrtmat_sympd() for handling symmetric matrices
• added polyfit() and polyval() for polynomial fitting
• fix for aliasing issue in convolution functions conv() and conv2()
• fix for memory leak in the field class when compiling in C++11/C++14 mode

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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