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A C++ matrix library, which bundles the interfaces of LAPACK and ATLAS libraries, also provides statistical functions and supports complex numbers

Armadillo Is a comprehensive, template-based C++ linear algebra library, with alternative interfaces designed for LAPACK and ATLAS libraries.

The tool is designed to provide speed and ease of use, and provides familiar syntax (or API) similar to Matlab.

Armadillo allows you to script various types of mathematical functions that can be integrated into components or applications. It can help you develop algorithms in machine learning, process signals, generate statistics and even recognize patterns.

It can be conveniently used in bioinformatics, statistics or other scientific research, and provides you with classes of vectors, matrices, and cube functions.

It can handle many types of numbers, such as integers, floating-point or complex numbers, and trigonometric functions.

Armadillo is well integrated with LAPACK or other similar tools, allowing you to inherit and extend its functionality. It allows you to create routines for solving linear equations and matrices, as well as decompose matrices.

By integrating with libraries, such as Intel MKL, AMD ACML or some versions of BLAS, similar algebraic solutions can be provided.

The tool provides you with an automatic expression evaluator, which you can access through a specific template and use it to combine multiple algorithms.

It allows you to improve compilation efficiency and compilation speed by performing multiple operations at the same time.

Armadillo can be used with a supported development environment (such as C++ or Visual C++) and GCC, Intel pr MSVC C++ compiler.

In addition, the tool also has detailed documentation that allows you to get used to the generated syntax and functions.

Armadillo also comes with templates and examples to help you start defining functions or algorithms.

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