The Meta.Numerics math and statistics library supports scientific computing on the .NET platform. It offers an object-oriented API for matrix algebra, advanced functions of real and complex numbers, signal processing, and data analysis.
For more information, visit the http://www.meta-numerics.net
website. There you will find extensive feature lists, API reference documentation, and myriad web calculators illustrating the capabilities of the Meta.Numerics
For tutorial introductions, with code examples, to various features of the Meta.Numerics library, consult our
- We have posted our
Plans for 3.0 and have made the first 3.0 check-in. We welcome your comments.
- 2.2.0 is out! Get it via codeplex or
nuget. We expect the next release to be 3.0.
- 2.1.0 is out.
- We have checked in a project that compiles Meta.Numerics for Silverlight. Kudos to
cureos for making this happen!
- 2.0.0 has been released, with loads of new and improved functionality! Download it and check it out today!
- Meta.Numerics has joined
Facebook! Like us in order to get periodic updates on math in general and us in particular.
- Meta.Numerics is now available as a
package via NuGet.
- 1.5.0 is out! This is expected to be our last release before 2.0.
- We have begun to post our
Plans for 2.0. Feel free to read and comment.
- Check out our code project article on
visualizing complex functions. It includes free demo software that uses Meta.Numerics to produce beautiful and informative pictures of complex functions.
- Meta.Numerics has moved from Beta to Stable.
- Tutorial documentation is now under the
Documentation tab. Both conceptual and reference documentation have been improved and extended.
- 1.4.0 is out! New features include many new special functions, both real and complex, multivariate linear regression, and more.
- We've just added a
bivariate sample calculator to our suite of web calculators. It uses the MultivariateSample class that appeared in the latest release.
- Check out our code project article on how to
use Meta.Numerics interactively within IronPython.