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 (API) deliberately similar to Matlab Useful for algorithm development directly in C++, or quick conversion of research code into production environments (eg. software & hardware products) Can be used for machine learning, pattern recognition, computer vision, signal processing, bioinformatics, statistics, finance, etc 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 Available under a permissive license, useful for both open-source and proprietary (closed-source) software
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$ dotnet add package armadillo-code-onlyReadme
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