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https://github.com/mathnet/mathnet-numerics
Math.NET Numerics
https://github.com/mathnet/mathnet-numerics
csharp differentiation fft fsharp integration interpolation linear-algebra math mathnet matrix numerics random regression statistics
Last synced: 5 days ago
JSON representation
Math.NET Numerics
- Host: GitHub
- URL: https://github.com/mathnet/mathnet-numerics
- Owner: mathnet
- License: mit
- Created: 2009-06-24T16:31:36.000Z (over 15 years ago)
- Default Branch: master
- Last Pushed: 2024-07-02T15:05:06.000Z (6 months ago)
- Last Synced: 2024-12-31T19:07:53.896Z (12 days ago)
- Topics: csharp, differentiation, fft, fsharp, integration, interpolation, linear-algebra, math, mathnet, matrix, numerics, random, regression, statistics
- Language: C#
- Homepage: http://numerics.mathdotnet.com
- Size: 141 MB
- Stars: 3,531
- Watchers: 209
- Forks: 900
- Open Issues: 314
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE-MKL.md
Awesome Lists containing this project
- awesome-dotnet-machine-learning - Math.NET Numerics - numerics?style=social"/> : Math.NET Numerics is the numerical foundation of the Math.NET initiative, aiming to provide methods and algorithms for numerical computations in science, engineering and every day use. Covered topics include special functions, linear algebra, probability models, random numbers, statistics, interpolation, integration, regression, curve fitting, integral transforms (FFT) and more. (Uncategorized / Uncategorized)
- awesome-dotnet - mathnet-numerics - Math.NET Numerics is an opensource numerical library for .Net, Silverlight and Mono. (Libraries, Frameworks and Tools / Mathematics)
- awesome-fsharp - Math.NET Numerics ★ 1,923 ⧗ 0 - Math.NET Numerics aims to provide methods and algorithms for numerical computations in science, engineering and every day use. F# specific bindings available. [MIT] (Data Science)
README
Math.NET Numerics
=================
Math.NET Numerics is an opensource **numerical library for .NET and Mono**.
Math.NET Numerics is the numerical foundation of the Math.NET initiative, aiming to provide methods and algorithms for numerical computations in science, engineering and every day use. Covered topics include special functions, linear algebra, probability models, random numbers, statistics, interpolation, integration, regression, curve fitting, integral transforms (FFT) and more.
In addition to the core .NET package (which is written entirely in C#), Numerics specifically supports F# with idiomatic extension modules and maintains mathematical data structures like BigRational that originated in the F# PowerPack. If a performance boost is needed, the managed-code provider backing its linear algebra routines and decompositions can be exchanged with wrappers for optimized native implementations such as Intel MKL.
Math.NET Numerics is covered under the terms of the [MIT license](LICENSE.md). You may therefore link to it and use it in both opensource and proprietary software projects. We accept contributions!
* [**Project Website**](https://numerics.mathdotnet.com)
* [Source Code](https://github.com/mathnet/mathnet-numerics)
* [NuGet & Binaries](https://numerics.mathdotnet.com/Packages.html) | [Release Notes](https://numerics.mathdotnet.com/ReleaseNotes.html)
* [Documentation](https://numerics.mathdotnet.com) | [API Reference](https://numerics.mathdotnet.com/api/)
* [Issues & Bugs](https://github.com/mathnet/mathnet-numerics/issues) | [Ideas](https://feedback.mathdotnet.com/forums/2060-math-net-numerics)
* [Discussions](https://github.com/mathnet/mathnet-numerics/discussions) | [Stack Overflow](https://stackoverflow.com/questions/tagged/mathdotnet) | [Twitter](https://twitter.com/MathDotNet)
* [Wikipedia](https://en.wikipedia.org/wiki/Math.NET_Numerics) | [OpenHUB](https://www.openhub.net/p/mathnet-numerics)
### Current Version
 Math.NET Numerics
 MKL Native Provider
 OpenBLAS Native Provider
 Data Extensions
Installation Instructions
-------------------------
The recommended way to get Math.NET Numerics is to use NuGet. The following packages are provided and maintained in the public [NuGet Gallery](https://nuget.org/profiles/mathnet/).
Core Package:
- **MathNet.Numerics**
- **MathNet.Numerics.FSharp** - optional extensions for a better F# experience. BigRational.
Intel MKL Provider (optional):
- **MathNet.Numerics.Providers.MKL** - Binding to Native Intel MKL provider.
- **MathNet.Numerics.MKL.Win** - Native Intel MKL provider (Windows).
- **MathNet.Numerics.MKL.Win-x86** - Native Intel MKL provider (Windows/32-bit only).
- **MathNet.Numerics.MKL.Win-x64** - Native Intel MKL provider (Windows/64-bit only).
Data/IO Packages for reading and writing data (optional):
- **MathNet.Numerics.Data.Text** - Text-based matrix formats like CSV and MatrixMarket.
- **MathNet.Numerics.Data.Matlab** - MATLAB Level-5 matrix file format.
Platform Support and Dependencies
---------------------------------
Supported Platforms:
- .NET 5.0 or higher (Package includes builds for 5.0 and 6.0)
- .NET Framework 4.6.1 or higher (Package includes builds for 4.6.1 and 4.8)
- .NET Standard 2.0 or higher (Package includes builds for 2.0)
For full details, dependencies and platform discrepancies see [Platform Compatibility](https://numerics.mathdotnet.com/Compatibility.html).
Building Math.NET Numerics
--------------------------
Windows (.NET): [](https://ci.appveyor.com/project/cdrnet/mathnet-numerics)
You can build Math.NET Numerics with an IDE like VisualStudio or JetBrains Rider, with MsBuild, .NET CLI tools or with FAKE (recommended).
FAKE:
./build.sh build (or build.cmd)
./build.sh test
.NET CLI:
./restore.sh (or restore.cmd)
dotnet build MathNet.Numerics.sln
MsBuild/XBuild:
./restore.sh (or restore.cmd)
msbuild MathNet.Numerics.sln
See [Build & Tools](https://numerics.mathdotnet.com/Build.html) for full details
on how to build, generate documentation or even create a full release.