MathNet.Numerics 3.3.0-beta1

Prefix Reserved
This is a prerelease version of MathNet.Numerics.
There is a newer version of this package available.
See the version list below for details.
dotnet add package MathNet.Numerics --version 3.3.0-beta1
                    
NuGet\Install-Package MathNet.Numerics -Version 3.3.0-beta1
                    
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="MathNet.Numerics" Version="3.3.0-beta1" />
                    
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="MathNet.Numerics" Version="3.3.0-beta1" />
                    
Directory.Packages.props
<PackageReference Include="MathNet.Numerics" />
                    
Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package.
paket add MathNet.Numerics --version 3.3.0-beta1
                    
#r "nuget: MathNet.Numerics, 3.3.0-beta1"
                    
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
#addin nuget:?package=MathNet.Numerics&version=3.3.0-beta1&prerelease
                    
Install MathNet.Numerics as a Cake Addin
#tool nuget:?package=MathNet.Numerics&version=3.3.0-beta1&prerelease
                    
Install MathNet.Numerics as a Cake Tool

Math.NET Numerics is the numerical foundation of the Math.NET project, aiming to provide methods and algorithms for numerical computations in science, engineering and every day use. Supports .Net 4.0, .Net 3.5 and Mono on Windows, Linux and Mac; Silverlight 5, WindowsPhone/SL 8, WindowsPhone 8.1 and Windows 8 with PCL Portable Profiles 47 and 328; Android/iOS with Xamarin.

Product Compatible and additional computed target framework versions.
.NET Framework net35 is compatible.  net40 is compatible.  net403 was computed.  net45 was computed.  net451 was computed.  net452 was computed.  net46 was computed.  net461 was computed.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  net481 was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (399)

Showing the top 5 NuGet packages that depend on MathNet.Numerics:

Package Downloads
MathNet.Numerics.FSharp

F# Modules for Math.NET Numerics, the numerical foundation of the Math.NET project, aiming to provide methods and algorithms for numerical computations in science, engineering and every day use. Supports .NET 5.0 or higher, .NET Standard 2.0 and .NET Framework 4.6.1 or higher, on Windows, Linux and Mac.

MathNet.Spatial

Math.NET Spatial, providing methods and algorithms for geometry computations in science, engineering and every day use. Supports .Net Framework 4.6.1 or higher and .Net Standard 2.0 or higher on Windows, Linux and Mac.

MathNet.Filtering

Math.NET Filtering, providing methods and algorithms for signal processing and filtering in science, engineering and every day use. Supports .Net Framework 4.0 or higher and .Net Standard 1.3 or higher, on Windows, Linux and Mac.

QuantConnect.Common

QuantConnect LEAN Engine: Common Project - A collection of common definitions and utils

QuantConnect.Indicators

QuantConnect LEAN Engine: Indicators Project - A collection of financial indicators

GitHub repositories (73)

Showing the top 20 popular GitHub repositories that depend on MathNet.Numerics:

Repository Stars
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akkadotnet/akka.net
Canonical actor model implementation for .NET with local + distributed actors in C# and F#.
mathnet/mathnet-numerics
Math.NET Numerics
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.NET library for the OpenAI service API by Betalgo Ranul
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A collection of challenge based hack-a-thons including student guide, coach guide, lecture presentations, sample/instructional code and templates. Please visit the What The Hack website at: https://aka.ms/wth
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Version Downloads Last updated
6.0.0-beta2 8,220 3/2/2025
6.0.0-beta1 144,207 12/17/2023
5.0.0 17,117,814 4/3/2022
5.0.0-beta02 2,588 4/3/2022
5.0.0-beta01 32,334 3/6/2022
5.0.0-alpha16 4,151 2/27/2022
5.0.0-alpha15 3,076 2/27/2022
5.0.0-alpha14 2,217 2/27/2022
5.0.0-alpha13 2,109 2/27/2022
5.0.0-alpha12 2,084 2/27/2022
5.0.0-alpha11 2,332 2/27/2022
5.0.0-alpha10 33,549 2/19/2022
5.0.0-alpha09 2,809 2/13/2022
5.0.0-alpha08 27,004 12/23/2021
5.0.0-alpha07 7,963 12/19/2021
5.0.0-alpha06 2,159 12/19/2021
5.0.0-alpha05 2,201 12/19/2021
5.0.0-alpha04 2,084 12/19/2021
5.0.0-alpha03 11,493 12/5/2021
5.0.0-alpha02 82,142 7/11/2021
5.0.0-alpha01 11,876 6/27/2021
4.15.0 9,190,009 1/7/2021
4.14.0 89,446 1/1/2021
4.13.0 14,506 12/30/2020
4.12.0 1,911,136 8/2/2020
4.11.0 1,472,085 5/24/2020
4.10.0 6,370 5/24/2020
4.9.1 2,021,369 4/12/2020
4.9.0 2,095,449 10/13/2019
4.8.1 1,501,644 6/11/2019
4.8.0 157,319 6/2/2019
4.8.0-beta02 3,131 5/30/2019
4.8.0-beta01 6,101 4/28/2019
4.7.0 2,255,167 11/11/2018
4.6.0 221,289 10/19/2018
4.5.1 1,593,522 5/22/2018
4.5.0 17,862 5/22/2018
4.4.1 156,021 5/6/2018
4.4.0 443,229 2/25/2018
4.3.0 7,845 2/24/2018
4.2.0 12,336 2/21/2018
4.1.0 13,281 2/19/2018
4.0.0 169,930 2/11/2018
4.0.0-beta07 3,690 2/10/2018
4.0.0-beta06 4,186 2/3/2018
4.0.0-beta05 4,321 1/22/2018
4.0.0-beta04 4,287 1/13/2018
4.0.0-beta03 5,073 1/9/2018
4.0.0-beta02 3,899 1/7/2018
4.0.0-beta01 3,319 1/7/2018
4.0.0-alpha04 3,239 1/5/2018
4.0.0-alpha03 12,886 12/26/2017
4.0.0-alpha02 5,490 11/30/2017
4.0.0-alpha01 4,956 11/26/2017
3.20.2 387,840 1/22/2018
3.20.1 25,546 1/13/2018
3.20.0 681,832 7/15/2017
3.20.0-beta01 13,514 5/31/2017
3.19.0 928,096 4/29/2017
3.18.0 100,891 4/9/2017
3.17.0 382,645 1/15/2017
3.16.0 51,143 1/3/2017
3.15.0 14,176 12/27/2016
3.14.0-beta03 3,799 11/20/2016
3.14.0-beta02 3,408 11/15/2016
3.14.0-beta01 3,893 10/30/2016
3.13.1 342,339 9/6/2016
3.13.0 48,640 8/18/2016
3.12.0 115,887 7/3/2016
3.11.1 145,249 4/24/2016
3.11.0 103,213 2/13/2016
3.10.0 88,407 12/30/2015
3.9.0 67,395 11/25/2015
3.8.0 252,820 9/26/2015
3.7.1 16,287 9/21/2015
3.7.0 156,041 5/9/2015
3.6.0 39,450 3/22/2015
3.5.0 76,125 1/10/2015
3.4.0 27,779 1/4/2015
3.3.0 17,376 11/26/2014
3.3.0-beta2 3,408 10/25/2014
3.3.0-beta1 26,004 9/28/2014
3.2.3 57,565 9/6/2014
3.2.2 3,805 9/5/2014
3.2.1 9,109 8/5/2014
3.2.0 4,556 8/5/2014
3.1.0 8,345 7/20/2014
3.0.2 18,761 6/26/2014
3.0.1 4,061 6/24/2014
3.0.0 22,824 6/21/2014
3.0.0-beta05 3,267 6/20/2014
3.0.0-beta04 3,269 6/15/2014
3.0.0-beta03 3,547 6/5/2014
3.0.0-beta02 3,219 5/29/2014
3.0.0-beta01 6,582 4/14/2014
3.0.0-alpha9 3,626 3/29/2014
3.0.0-alpha8 3,681 2/26/2014
3.0.0-alpha7 10,230 12/30/2013
3.0.0-alpha6 3,644 12/2/2013
3.0.0-alpha5 6,675 10/2/2013
3.0.0-alpha4 3,618 9/22/2013
3.0.0-alpha1 3,590 9/1/2013
2.6.2 87,985 10/21/2013
2.6.1 32,328 8/13/2013
2.6.0 6,910 7/26/2013
2.5.0 129,115 4/14/2013
2.4.0 15,809 2/3/2013
2.3.0 8,296 11/25/2012
2.2.1 10,431 8/29/2012
2.2.0 4,321 8/27/2012
2.1.2 39,412 10/9/2011
2.1.1 9,543 10/3/2011

Linear Algebra: Vector.Fold2 (fold2 in F#), storage optimized
Linear Algebra: Minor change how matrix products call the LA provider
Linear Algebra: Random generation now leveraging array sampling routines
Linear Algebra: fix bug when manually assigning System.Random to random distribution
Statistics: RootMeanSquare (RMS)
Distributions: Array sampling routines now available through interface
Distributions: Categorical sampling now explicitly skips p=0 categories
Generate: leverage array sampling routines for random data generation
Generate: square, triangle and sawtooth waves
Distance: Jaccard Index
F#: explicitly depend on official FSharp.Core NuGet packages
F#: NuGet package with iPython IfSharp F# module integration load script
Build: unified build.sh and buildn.sh into combined build.sh
Build: use Paket instead of NuGet to maintain NuGet dependencies