MathNet.Numerics.FSharp 3.14.0-beta02

Prefix Reserved
This is a prerelease version of MathNet.Numerics.FSharp.
There is a newer version of this package available.
See the version list below for details.
dotnet add package MathNet.Numerics.FSharp --version 3.14.0-beta02
                    
NuGet\Install-Package MathNet.Numerics.FSharp -Version 3.14.0-beta02
                    
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.FSharp" Version="3.14.0-beta02" />
                    
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="MathNet.Numerics.FSharp" Version="3.14.0-beta02" />
                    
Directory.Packages.props
<PackageReference Include="MathNet.Numerics.FSharp" />
                    
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.FSharp --version 3.14.0-beta02
                    
#r "nuget: MathNet.Numerics.FSharp, 3.14.0-beta02"
                    
#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.FSharp&version=3.14.0-beta02&prerelease
                    
Install as a Cake Addin
#tool nuget:?package=MathNet.Numerics.FSharp&version=3.14.0-beta02&prerelease
                    
Install 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 F# 3.0 on .Net 4.0, .Net 3.5 and Mono on Windows, Linux and Mac; Silverlight 5 and Windows 8 with PCL portable profile 47; 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 (39)

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

Package Downloads
MathNet.Symbolics

Math.NET Symbolics is a basic open source computer algebra library for .Net and Mono. Written in F# but works well in C# as well. Supports .Net Framework 4.5 or higher and .Net Standard 2.0 or higher, on Windows, Linux and Mac.

FsLab

FsLab is a combination package that supports doing data science with F#. FsLab includes literate scripting converted to HTML and PDF, and by default references Deedle (a data frame library), FSharp.Data (for data access) and XPlot (for visualization). You can optionally add any other nuget packages.

OPTANO.Modeling

The OPTANO Modeling library allows you to use C# as a Modeling language for mathematical optimization (mixed integer programming (MIP) and linear programming (LP)). It has a lightweight footprint and connects to several solvers.

Deedle.Math

Deedle implements an efficient and robust frame and series data structures for manipulating with structured data. It supports handling of missing values, aggregations, grouping, joining, statistical functions and more. For frames and series with ordered indices (such as time series), automatic alignment is also available. This package installs the core Deedle package, Deedle.Math extension and Mathnet.Numerics to extend mathematic functions on Deedle Frames and Series.

Microsoft.Quantum.Research.Simulation

Quantum research libraries for quantum simulation (non-commercial).

GitHub repositories (3)

Showing the top 3 popular GitHub repositories that depend on MathNet.Numerics.FSharp:

Repository Stars
StockSharp/StockSharp
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
mathnet/mathnet-numerics
Math.NET Numerics
NethermindEth/nethermind
A robust execution client for Ethereum node operators.
Version Downloads Last Updated
6.0.0-beta2 278 3/2/2025
6.0.0-beta1 33,800 12/17/2023
5.0.0 1,157,059 4/3/2022
5.0.0-beta02 256 4/3/2022
5.0.0-beta01 20,834 3/6/2022
5.0.0-alpha16 260 2/27/2022
5.0.0-alpha15 262 2/27/2022
5.0.0-alpha14 241 2/27/2022
5.0.0-alpha13 232 2/27/2022
5.0.0-alpha12 242 2/27/2022
5.0.0-alpha11 238 2/27/2022
5.0.0-alpha10 256 2/19/2022
5.0.0-alpha09 247 2/13/2022
5.0.0-alpha08 325 12/23/2021
5.0.0-alpha07 258 12/19/2021
5.0.0-alpha06 257 12/19/2021
5.0.0-alpha05 277 12/19/2021
5.0.0-alpha04 278 12/19/2021
5.0.0-alpha03 280 12/5/2021
5.0.0-alpha02 475 7/11/2021
5.0.0-alpha01 408 6/27/2021
4.15.0 591,358 1/7/2021
4.14.0 1,765 1/1/2021
4.13.0 680 12/30/2020
4.12.0 38,470 8/2/2020
4.11.0 132,403 5/24/2020
4.10.0 760 5/24/2020
4.9.1 20,896 4/12/2020
4.9.0 75,288 10/13/2019
4.8.1 201,513 6/11/2019
4.8.0 2,522 6/2/2019
4.8.0-beta02 588 5/30/2019
4.8.0-beta01 642 4/28/2019
4.7.0 139,058 11/11/2018
4.6.0 3,760 10/19/2018
4.5.1 34,144 5/22/2018
4.5.0 1,514 5/22/2018
4.4.1 1,964 5/6/2018
4.4.0 14,066 2/25/2018
4.3.0 1,472 2/24/2018
4.2.0 2,817 2/21/2018
4.1.0 2,395 2/19/2018
4.0.0 6,297 2/11/2018
4.0.0-beta07 1,179 2/10/2018
4.0.0-beta06 1,195 2/3/2018
4.0.0-beta05 1,208 1/22/2018
4.0.0-beta04 1,184 1/13/2018
4.0.0-beta03 1,162 1/9/2018
4.0.0-beta02 1,284 1/7/2018
4.0.0-beta01 1,142 1/7/2018
4.0.0-alpha04 1,124 1/5/2018
4.0.0-alpha03 1,117 12/26/2017
4.0.0-alpha02 1,051 11/30/2017
4.0.0-alpha01 1,056 11/26/2017
3.20.2 12,957 1/22/2018
3.20.1 1,709 1/13/2018
3.20.0 53,071 7/15/2017
3.20.0-beta01 1,075 5/31/2017
3.19.0 8,198 4/29/2017
3.18.0 15,363 4/9/2017
3.17.0 10,990 1/15/2017
3.16.0 1,966 1/3/2017
3.15.0 1,540 12/27/2016
3.14.0-beta03 1,106 11/20/2016
3.14.0-beta02 1,051 11/15/2016
3.14.0-beta01 1,087 10/30/2016
3.13.1 72,595 9/6/2016
3.13.0 1,790 8/18/2016
3.12.0 8,534 7/3/2016
3.11.1 14,789 4/24/2016
3.11.0 8,780 2/13/2016
3.10.0 11,378 12/30/2015
3.9.0 4,388 11/25/2015
3.8.0 53,260 9/26/2015
3.7.1 4,355 9/21/2015
3.7.0 17,159 5/9/2015
3.6.0 12,106 3/22/2015
3.5.0 7,769 1/10/2015
3.4.0 2,176 1/4/2015
3.3.0 3,253 11/26/2014
3.3.0-beta2 1,205 10/25/2014
3.3.0-beta1 1,260 9/28/2014
3.2.3 25,858 9/6/2014
3.2.2 1,566 9/5/2014
3.2.1 1,995 8/5/2014
3.2.0 1,541 8/5/2014
3.1.0 4,256 7/20/2014
3.0.2 2,014 6/26/2014
3.0.1 1,617 6/24/2014
3.0.0 11,049 6/21/2014
3.0.0-beta05 1,295 6/20/2014
3.0.0-beta04 1,257 6/15/2014
3.0.0-beta03 1,259 6/5/2014
3.0.0-beta02 1,234 5/29/2014
3.0.0-beta01 4,063 4/14/2014
3.0.0-alpha9 1,317 3/29/2014
3.0.0-alpha8 1,293 2/26/2014
3.0.0-alpha7 7,807 12/30/2013
3.0.0-alpha6 1,420 12/2/2013
3.0.0-alpha5 4,039 10/2/2013
3.0.0-alpha4 1,338 9/22/2013
3.0.0-alpha1 1,272 9/1/2013
2.6.0 14,203 7/26/2013
2.5.0 2,308 4/14/2013
2.4.0 1,985 2/3/2013
2.3.0 2,085 11/25/2012
2.2.1 2,001 8/29/2012
2.2.0 1,800 8/27/2012
2.1.2 6,794 10/9/2011
2.1.1 1,986 10/3/2011
2.1.0.19 2,589 10/3/2011

Linear Algebra: enable experimental matrix product implementation
Linear Algebra: better support for matrix to/from row-major arrays and enumerables
Linear Algebra: transport allows specifying a result matrix to transpose into, inplace if square
Linear Algebra: vector and matrix AsArray and similar to access internal arrays if applicable
Linear Algebra: vector and matrix pointwise min/max and absmin/absmax