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, or one of its high performance drop-in replacements (e.g. AMD's ACML or Intel's MKL).

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:

• faster inverse of symmetric matrices
• faster element access for fixed size matrices
• faster multiplication of tiny matrices (eg. 4x4)
• faster compound expressions containing submatrices
• added handling of arbitrarily sized empty matrices (eg. 5x0)
• added syl(), for solving Sylvester's equation
• added submatrices of submatrices
• added .count() to running_stat and running_stat_vec
• most functions with matrix inputs no longer throw exceptions for empty matrices

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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