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The following list of C++ template libraries details the various libraries of templates available for the C++ programming language.. The choice of a typical library depends on a diverse range of requirements such as: desired features (e.g.: large dimensional linear algebra, parallel computation, partial differential equations), commercial/opensource nature, readability of API, portability or ...
Eigen is a high-level C++ library of template headers for linear algebra, matrix and vector operations, geometrical transformations, numerical solvers and related algorithms. . Eigen is open-source software licensed under the Mozilla Public License 2.0 since version 3.1
Pages in category "Free software programmed in C++" The following 200 pages are in this category, out of approximately 545 total. This list may not reflect recent changes .
The use of templates as a metaprogramming technique requires two distinct operations: a template must be defined, and a defined template must be instantiated.The generic form of the generated source code is described in the template definition, and when the template is instantiated, the generic form in the template is used to generate a specific set of source code.
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 and vectors are available in all classical numerical formats: float , double , complex<float> or complex<double> .
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The usage of a function template saves space in the source code file in addition to limiting changes to one function description and making the code easier to read. An instantiated function template usually produces the same object code, though, compared to writing separate functions for all the different data types used in a specific program.
In computing, the Standard Template Library (STL) is a software library for the C++ programming language. The architecture of the STL is largely the creation of Alexander Stepanov . In 1979 he began working out his initial ideas of generic programming and exploring their potential for revolutionizing software development.