Fast C++ library for linear algebra (matrix maths) and scientific computing. Easy to use functions and syntax, deliberately similar to Matlab. Uses template meta-programming techniques.

Also provides efficient wrappers for LAPACK, BLAS, ATLAS, ARPACK and SuperLU libraries, including high-performance versions such as OpenBLAS and Intel MKL.

Useful for machine learning, pattern recognition, signal processing, bioinformatics, statistics, finance, etc.

For more details, see http://arma.sourceforge.net

Features

  • Easy to use - has many MATLAB like functions
  • Useful for prototyping directly in C++
  • Useful for conversion of research code into production environments
  • Permissively licensed - can be used in proprietary software and products
  • Used for machine learning, pattern recognition, computer vision, signal processing, bioinformatics, statistics, finance, etc
  • Efficient classes for vectors, matrices, cubes (1st, 2nd, 3rd order tensors)
  • Fast singular value decomposition (SVD), eigen decomposition, QR, LU, Cholesky, FFT
  • Clustering using k-means and Gaussian Mixture Models (GMM)
  • Automatic vectorisation of expressions (SIMD)
  • Contiguous and non-contiguous submatrices
  • Automatically combines several operations into one to increase speed and efficiency
  • Automatically uses OpenMP for speedups

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Additional Project Details

Intended Audience

Information Technology, Science/Research, Education, Advanced End Users, Developers, Engineering

Programming Language

MATLAB, C++

Registered

2008-02-08