Matrix Template Library

The Matrix Template Library (MTL) is a linear algebra library for C++ programs.

The MTL uses template programming, which considerably reduces the code length. All matrices are available as float, double, complex<float> or complex<double>. The MTL supports several implementations of sparse matrices.

Features

The Matrix Template Library is:

Generic, Orthogonal, and Comprehensive:

   MTL includes a large number of data formats and algorithms, including most popular sparse and dense matrix formats and functionality equivalent to Level 3 BLAS. 

Flexible and Extensible:

   The MTL interface is designed to allow new functionality to be easily incorporated. 

High Performance:

   With a good optimizing compiler, such as KAI's C++, MTL provides performance equal to (and in many cases better than) vendor-tuned math libraries. 

Reliable: MTL is extensively tested on a regular basis. Portable:

   MTL is written in ANSI C++ and can be compiled and used on any target platform with an ANSI C++ compiler. Currently, compilers known to work are KAI's C++ on various platforms, MIPSp ro 7.3 on SGI, Visual C++ 6.0 and Metrowerks CodeWarrior Pro 5 on NT, egcs-2.91.60 and gcc 2.95.x on various platforms. 

source (http://www.osl.iu.edu/research/mtl/)

See also

• Boost uBLAS, an alternative linear algebra library for C++

External links

• MTL homepage