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- Description:
Armadillo is a template C++ linear algebra library (matrix maths) aiming towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided via an optional integration with LAPACK and ATLAS libraries.
A delayed evaluation approach is employed (during compile time) to combine several operations into one and reduce (or eliminate) the need for temporaries. This is accomplished through recursive templates and template meta-programming.
This library is useful if C++ has been decided as the language of choice (due to speed and/or integration capabilities), rather than another language like Matlab or Octave. It is distributed under a license that is useful in both open-source and commercial contexts.
- Changes to previous version:
- Extended submatrix views, including access to elements whose indices are specified in a separate vector
- Added handling of raw binary files by save/load functions
- Added cumsum()
- Added interpretation of matrices as triangular via trimatu()/trimatl()
- Faster solve() and inv() via explicit handling of triangular matrices
- The stream for logging of errors and warnings can now be changed
- BibTeX Entry: Download
- Supported Operating Systems: Linux, Windows, Unix, Mac Os X
- Data Formats: Ascii, Binary
- Tags: Matrix Library, Atlas, Lapack, Linear Algebra, Templates
- Archive: download here
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