Armadillo C++ Library

A high quality linear algebra library (matrix maths) for the C++ language, aiming towards a good balance between speed and ease of use
  • 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 (eg. software & hardware products)
  • Provides efficient classes for vectors, matrices and cubes (1st, 2nd and 3rd order tensors); dense and sparse matrices are supported
  • 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
  • Can automatically use OpenMP multi-threading (parallelisation) to speed up computationally expensive operations
  • Available under a permissive 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.