MathNet.Numerics 3.0.0-beta04

Prefix Reserved
.NET Framework 3.5 This package targets .NET Framework 3.5. The package is compatible with this framework or higher.
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There is a newer version of this package available.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 3.0.0-beta04                

                    
                

            
NuGet\Install-Package MathNet.Numerics -Version 3.0.0-beta04
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="3.0.0-beta04" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add MathNet.Numerics --version 3.0.0-beta04                

                    
                

            
#r "nuget: MathNet.Numerics, 3.0.0-beta04"
#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. 
// Install MathNet.Numerics as a Cake Addin
#addin nuget:?package=MathNet.Numerics&version=3.0.0-beta04&prerelease

// Install MathNet.Numerics as a Cake Tool
#tool nuget:?package=MathNet.Numerics&version=3.0.0-beta04&prerelease

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 344; 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.

This package has no dependencies.

NuGet packages (383)

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.
QuantConnect.Common

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

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

GitHub repositories (68)

Showing the top 5 popular GitHub repositories that depend on MathNet.Numerics:

Repository Stars
rocksdanister/lively
Free and open-source software that allows users to set animated desktop wallpapers and screensavers powered by WinUI 3.
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Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
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Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
MassTransit/MassTransit
Distributed Application Framework for .NET
mathnet/mathnet-numerics
Math.NET Numerics
Version Downloads Last updated
6.0.0-beta1 61,828 12/17/2023
5.0.0 12,184,121 4/3/2022
5.0.0-beta02 2,370 4/3/2022
5.0.0-beta01 29,336 3/6/2022
5.0.0-alpha16 3,955 2/27/2022
5.0.0-alpha15 2,897 2/27/2022
5.0.0-alpha14 2,062 2/27/2022
5.0.0-alpha13 1,936 2/27/2022
5.0.0-alpha12 1,926 2/27/2022
5.0.0-alpha11 2,154 2/27/2022
5.0.0-alpha10 28,077 2/19/2022
5.0.0-alpha09 2,637 2/13/2022
5.0.0-alpha08 26,786 12/23/2021
5.0.0-alpha07 7,789 12/19/2021
5.0.0-alpha06 2,003 12/19/2021
5.0.0-alpha05 2,022 12/19/2021
5.0.0-alpha04 1,913 12/19/2021
5.0.0-alpha03 9,406 12/5/2021
5.0.0-alpha02 81,649 7/11/2021
5.0.0-alpha01 11,812 6/27/2021
4.15.0 8,431,121 1/7/2021
4.14.0 78,964 1/1/2021
4.13.0 13,256 12/30/2020
4.12.0 1,833,538 8/2/2020
4.11.0 1,397,638 5/24/2020
4.10.0 5,643 5/24/2020
4.9.1 1,635,760 4/12/2020
4.9.0 2,016,463 10/13/2019
4.8.1 1,416,579 6/11/2019
4.8.0 140,215 6/2/2019
4.8.0-beta02 3,075 5/30/2019
4.8.0-beta01 6,027 4/28/2019
4.7.0 2,115,975 11/11/2018
4.6.0 214,301 10/19/2018
4.5.1 1,511,615 5/22/2018
4.5.0 16,583 5/22/2018
4.4.1 153,058 5/6/2018
4.4.0 422,219 2/25/2018
4.3.0 7,014 2/24/2018
4.2.0 11,508 2/21/2018
4.1.0 11,433 2/19/2018
4.0.0 159,949 2/11/2018
4.0.0-beta07 3,495 2/10/2018
4.0.0-beta06 3,993 2/3/2018
4.0.0-beta05 4,195 1/22/2018
4.0.0-beta04 4,163 1/13/2018
4.0.0-beta03 4,891 1/9/2018
4.0.0-beta02 3,696 1/7/2018
4.0.0-beta01 3,140 1/7/2018
4.0.0-alpha04 3,038 1/5/2018
4.0.0-alpha03 11,271 12/26/2017
4.0.0-alpha02 5,355 11/30/2017
4.0.0-alpha01 4,830 11/26/2017
3.20.2 381,339 1/22/2018
3.20.1 25,155 1/13/2018
3.20.0 656,837 7/15/2017
3.20.0-beta01 13,243 5/31/2017
3.19.0 922,715 4/29/2017
3.18.0 97,569 4/9/2017
3.17.0 366,016 1/15/2017
3.16.0 47,271 1/3/2017
3.15.0 13,955 12/27/2016
3.14.0-beta03 3,654 11/20/2016
3.14.0-beta02 3,275 11/15/2016
3.14.0-beta01 3,762 10/30/2016
3.13.1 335,482 9/6/2016
3.13.0 41,686 8/18/2016
3.12.0 107,572 7/3/2016
3.11.1 141,663 4/24/2016
3.11.0 95,857 2/13/2016
3.10.0 87,395 12/30/2015
3.9.0 65,777 11/25/2015
3.8.0 244,517 9/26/2015
3.7.1 16,107 9/21/2015
3.7.0 150,312 5/9/2015
3.6.0 38,572 3/22/2015
3.5.0 74,138 1/10/2015
3.4.0 26,980 1/4/2015
3.3.0 16,720 11/26/2014
3.3.0-beta2 3,233 10/25/2014
3.3.0-beta1 25,296 9/28/2014
3.2.3 57,190 9/6/2014
3.2.2 3,631 9/5/2014
3.2.1 8,732 8/5/2014
3.2.0 4,281 8/5/2014
3.1.0 8,082 7/20/2014
3.0.2 18,500 6/26/2014
3.0.1 3,878 6/24/2014
3.0.0 22,444 6/21/2014
3.0.0-beta05 3,074 6/20/2014
3.0.0-beta04 3,081 6/15/2014
3.0.0-beta03 3,358 6/5/2014
3.0.0-beta02 3,079 5/29/2014
3.0.0-beta01 6,413 4/14/2014
3.0.0-alpha9 3,459 3/29/2014
3.0.0-alpha8 3,532 2/26/2014
3.0.0-alpha7 10,044 12/30/2013
3.0.0-alpha6 3,482 12/2/2013
3.0.0-alpha5 6,514 10/2/2013
3.0.0-alpha4 3,445 9/22/2013
3.0.0-alpha1 3,406 9/1/2013
2.6.2 85,306 10/21/2013
2.6.1 30,599 8/13/2013
2.6.0 6,699 7/26/2013
2.5.0 127,474 4/14/2013
2.4.0 15,490 2/3/2013
2.3.0 8,093 11/25/2012
2.2.1 9,885 8/29/2012
2.2.0 4,115 8/27/2012
2.1.2 36,289 10/9/2011
2.1.1 9,246 10/3/2011

Candidate for v3.0 Release
Linear Algebra:
FoldRows renamed to FoldByRow, now operates on and returns arrays; same for columns
New FoldRows and ReduceRows that operate on row vectors; same for columns
Split Map into Map and MapConvert (allows optimization in common in-place case)
Row and columns sums and absolute-sums
F# DiagonalMatrix module to create diagonal matrices without using the builder
F# Matrix module extended with sumRows, sumAbsRows, normRows; same for columns
Build: extend build and release automation, automatic releases also for data extensions and native providers