Matrix Library for .NET [closed]

Answer 1

Regarding .NET and Python, you could use IronPython. However, you'll also need Ironclad to make SciPy and NumPy work with IronPython.

Answer 2

I used Mapack (the .Net port not the COM version) in a neural network project at university. I can't exactly remember the fine details of the library, but it did everything I needed it to and wasn't particularly onerous to use.

Answer 3

Try ILNumerics: We have a rel. long history as open source project and recently changed to commercial licenses for better and reliable support. I am biased but here comes a short feature list:

• Better memory management, hence ...
• Much faster algorithms
• Uses MKL for linear algebra
• n-dim array classes, syntax similar to Matlab
• 3D plot controls
• Support for 32/64 bit
• Support for mono
• Full feature list

Answer 4

The now-defunct Managed DirectX library had some matrix support.

That has since been wrapped into Microsoft XNA, which is probably not a good fit for you, but the MDX Wikipedia article recommends something called SlimDX that might be okay.

Answer 5

Edit:

It wasn't quite there last time I evaluated it, but there has been quite a bit of activity, so you should also consider the (free and open source) Math.NET Numerics.

In looking now, it seems they've finished their new version, and have added sparse matrix support, as well as other nice goodies.

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If you want more robust support, you unfortunately really need to get into commercial packages for .NET atm.

There are two very feature-rich packages, both of which support matrices very well. Extreme Numerics works great, and has some very nice features. I've also heard very good things about the IMSL Visual Numerics math libraries.

Answer 6

I have us Mapack in the past and found it to be very good.

Although, I don't think it has Sparse matrices but it does support all the basic linear algegra functions.