![]() ![]() Like eigen decomposition or matrix inversion will not be. matrix addition and multiplication), but things ![]() Armadillo can work without these libraries,īut its functionality will be reduced. Used for dense matrices, while the ARPACK and SuperLU libraries are The functionality of Armadillo is partly dependent on other libraries: As such, C++ compilers which do notįully implement the C++ standard may not work correctly. ![]() Technical support can be obtained by purchasing the commercial license (see above).Īrmadillo makes extensive use of template meta-programming, recursive templatesĪnd template based function overloading. Please contact Conrad Sanderson for more information: Open source, under the restrictions of the Mozilla Public License (MPL) 2.0.Ĭommercial license (not open source), available for purchase. Citations are useful for the continuedĭevelopment and maintenance of the library.Īrmadillo: a template-based C++ library for linear algebra. Please cite the following article if you use Armadillo in your Signal processing, bioinformatics, statistics, econometrics, etc.Īrmadillo is primarily developed at Data61 / NICTA (Australia). The library can be used for machine learning, pattern recognition, computer vision, OpenBLAS, Intel MKL, AMD ACML, Apple Accelerate framework, etc).Ī sophisticated expression evaluator (via C++ template meta-programming)Īutomatically combines several operations (at compile time) to increase speed Integration with LAPACK, or one of its high performance drop-in replacements Various matrix decompositions are provided through The library provides efficient classes for vectors, matrices and cubes,Īs well as 200+ associated functions (eg. The syntax (API) is deliberately similar to Matlab. It's useful for algorithm development directly in C++,Īnd/or quick conversion of research code into production environments. 7: Linux and Mac OS X: Compiling & Linkingġ0: Support for OpenBLAS, Intel MKL and AMD ACMLġ4: Bug Reports and Frequently Asked QuestionsĪrmadillo is a high quality C++ linear algebra library,Īiming towards a good balance between speed and ease of use. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |