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Armadillo: C++ library for linear algebra & scientific computing Armadillo C++ library for linear algebra & scientific computing About Questions License Documentation Speed Contact Download 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 download latest version | git repo | browse documentation -- NEWS Data61/CSIRO is hiring a postdoc research scientist in machine learning and artificial intelligence Details and application: jobs.csiro.au Supported by: --...
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