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| Note: Credibility of this information: Clement Pernet from the LinBox team. However, any possible mistakes are due to the respective authors (e.g. [:MartinAlbrecht:Martin Albrecht]) | Note: Credibility of this information: Clement Pernet from the LinBox team. However, any possible mistakes are due to the respective authors (e.g. [[MartinAlbrecht|Martin Albrecht]]) |
LinBox
About
From the website: "LinBox is a C++ template library for exact, high-performance linear algebra computation with dense, sparse, and structured matrices over the integers and over finite fields." (http://www.linalg.org)
URL
Documentation
Note: Credibility of this information: Clement Pernet from the LinBox team. However, any possible mistakes are due to the respective authors (e.g. Martin Albrecht)
Design Description
There are two types of dense matrices in LinBox. The first type is in blas-matrix.h. You will find a DenseMatrix and a BlasMatrix class in there. Use the BlasMatrix class. Those classes are templated with a field as template parameter. You can plug in e.g. Modular<double>, Integer, and even GivaroGfq.
The other type are black box matrices. These are templated with an Element as template parameter as it is supposed not to rely on ony field implementation.
Tips and Tricks
- If you are looking for a solution, search the solution subdirectory. You don't have to worry about matrix domains there. If you cannot find what you are looking for look in the algorithms subdirectory.
If you are in the algorithms subdirectory use BlasMatrixDomain for everything dense. (Btw. never ever use the MatrixDomain)
Always use DenseMatrix for dense operations.