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Armadillo download for Linux

Free download Armadillo Linux app to run online in Ubuntu online, Fedora online or Debian online

This is the Linux app named Armadillo whose latest release can be downloaded as armadillo-12.6.5.tar.xz. It can be run online in the free hosting provider OnWorks for workstations.

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Armadillo


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DESCRIPTION

* Fast C++ library for linear algebra (matrix maths) and scientific computing
* Easy to use functions and syntax, deliberately similar to Matlab / Octave
* Uses template meta-programming techniques to increase efficiency
* Provides user-friendly wrappers for OpenBLAS, Intel MKL, LAPACK, ATLAS, ARPACK, SuperLU and FFTW libraries
* Useful for machine learning, pattern recognition, signal processing, bioinformatics, statistics, finance, etc.

* Downloads: http://arma.sourceforge.net/download.html
* Documentation: http://arma.sourceforge.net/docs.html
* Bug reports: http://arma.sourceforge.net/faq.html
* Git repo: https://gitlab.com/conradsnicta/armadillo-code



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)
  • Supports dense and sparse matrices
  • 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
  • Read/write data in CSV files
  • Automatically uses OpenMP for acceleration via multi-threading
  • Used for speeding up NumPy / Python via CARMA: https://github.com/RUrlus/carma
  • Used for machine learning and pattern recognition by MLPACK: https://mlpack.org/
  • Used for numerical optimisation by Ensmallen: https://ensmallen.org/


Audience

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



Programming Language

MATLAB, C++


Categories

Algorithms, Mathematics, Machine Learning, Computer Vision Libraries

This is an application that can also be fetched from https://sourceforge.net/projects/arma/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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