Log message:
math/armadillo: C++ linear algebra library

longer form:

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

Provides high-level syntax and functionality deliberately similar
to Matlab

Useful for algorithm development directly in C++, or quick conversion
of research code into production environments

Provides efficient classes for vectors, matrices and cubes; dense and
sparse matrices are supported

Integer, floating point and complex numbers are supported

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

Dynamic evaluation automatically chooses optimal code paths based on
detected matrix structures

Various matrix decompositions (eigen, SVD, QR, etc) are provided
through integration with LAPACK, or one of its high performance drop-in
replacements (eg. MKL or OpenBLAS)

Can automatically use OpenMP multi-threading (parallelisation) to speed
up computationally expensive operations

Distributed under the permissive Apache 2.0 license, useful for both
open-source and proprietary (closed-source) software

Can be used for machine learning, pattern recognition, computer vision,
signal processing, bioinformatics, statistics, finance, etc