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- Description:
ALGLIB is an open source numerical analysis library distributed under GPL 2+. It implements both general numerical algorithms and machine learning algorithms.
As for machine learning algorithms, ALGLIB implements: MLPs, early stopping ensembles, LDA, PCA, k-means++, several other data analysis algorithms. As for general numerical algorithms, ALGLIB implements linear algebra functions (subset of LAPACK), linear solvers, ODE solvers, nonlinear optimization, interpolation/fitting, integration, fast transforms.
ALGLIB can be used from C#, C, FreePascal, VBA and other languages. It is the only numerical analysis library which uses automatic translation to generate source code written in different programming languages with 100% identical functionality. So, C# version is written entirely in C#, C++ version is entirely C++, but they provide exactly the same interface.
- Changes to previous version:
New algorithms implemented: exact and approximate nearest neighbor search using kd-trees, new multidimensional scattered data interpolation/fitting algorithm with O(N·logN) complexity (modified Shepard's method with fast k-NN queries), linear algebra algorithms
faster QR/LQ, matrix inversion, condition number estimation.
Minor fixes
- BibTeX Entry: Download
- Supported Operating Systems: Platform Independent
- Data Formats: None
- Archive: download here
Other available revisons
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Version Changelog Date 2.4.0 New algorithms implemented: exact and approximate nearest neighbor search using kd-trees, new multidimensional scattered data interpolation/fitting algorithm with O(N·logN) complexity (modified Shepard's method with fast k-NN queries), linear algebra algorithms
faster QR/LQ, matrix inversion, condition number estimation.
Minor fixes
March 10, 2010, 14:07:35 2.3.0 Initial Announcement on mloss.org.
February 1, 2010, 10:06:17
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