MathNet.Numerics.FSharp 3.14.0-beta03

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There is a newer version of this package available.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-beta03
                    
NuGet\Install-Package MathNet.Numerics.FSharp -Version 3.14.0-beta03
                    
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-beta03" />
                    
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-beta03" />
                    
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-beta03
                    
#r "nuget: MathNet.Numerics.FSharp, 3.14.0-beta03"
                    
#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-beta03&prerelease
                    
Install MathNet.Numerics.FSharp as a Cake Addin
#tool nuget:?package=MathNet.Numerics.FSharp&version=3.14.0-beta03&prerelease
                    
Install MathNet.Numerics.FSharp 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 (38)

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 140 3/2/2025
6.0.0-beta1 26,066 12/17/2023
5.0.0 971,490 4/3/2022
5.0.0-beta02 217 4/3/2022
5.0.0-beta01 20,428 3/6/2022
5.0.0-alpha16 218 2/27/2022
5.0.0-alpha15 220 2/27/2022
5.0.0-alpha14 207 2/27/2022
5.0.0-alpha13 201 2/27/2022
5.0.0-alpha12 208 2/27/2022
5.0.0-alpha11 200 2/27/2022
5.0.0-alpha10 217 2/19/2022
5.0.0-alpha09 207 2/13/2022
5.0.0-alpha08 282 12/23/2021
5.0.0-alpha07 216 12/19/2021
5.0.0-alpha06 222 12/19/2021
5.0.0-alpha05 236 12/19/2021
5.0.0-alpha04 236 12/19/2021
5.0.0-alpha03 249 12/5/2021
5.0.0-alpha02 435 7/11/2021
5.0.0-alpha01 368 6/27/2021
4.15.0 553,948 1/7/2021
4.14.0 1,720 1/1/2021
4.13.0 630 12/30/2020
4.12.0 37,529 8/2/2020
4.11.0 129,573 5/24/2020
4.10.0 707 5/24/2020
4.9.1 20,669 4/12/2020
4.9.0 75,066 10/13/2019
4.8.1 196,427 6/11/2019
4.8.0 2,472 6/2/2019
4.8.0-beta02 542 5/30/2019
4.8.0-beta01 593 4/28/2019
4.7.0 136,723 11/11/2018
4.6.0 3,700 10/19/2018
4.5.1 33,806 5/22/2018
4.5.0 1,365 5/22/2018
4.4.1 1,816 5/6/2018
4.4.0 13,917 2/25/2018
4.3.0 1,332 2/24/2018
4.2.0 2,645 2/21/2018
4.1.0 2,251 2/19/2018
4.0.0 6,063 2/11/2018
4.0.0-beta07 1,034 2/10/2018
4.0.0-beta06 1,058 2/3/2018
4.0.0-beta05 1,061 1/22/2018
4.0.0-beta04 1,048 1/13/2018
4.0.0-beta03 1,020 1/9/2018
4.0.0-beta02 1,147 1/7/2018
4.0.0-beta01 1,001 1/7/2018
4.0.0-alpha04 982 1/5/2018
4.0.0-alpha03 981 12/26/2017
4.0.0-alpha02 958 11/30/2017
4.0.0-alpha01 954 11/26/2017
3.20.2 12,793 1/22/2018
3.20.1 1,568 1/13/2018
3.20.0 52,425 7/15/2017
3.20.0-beta01 975 5/31/2017
3.19.0 8,095 4/29/2017
3.18.0 15,248 4/9/2017
3.17.0 10,886 1/15/2017
3.16.0 1,858 1/3/2017
3.15.0 1,437 12/27/2016
3.14.0-beta03 1,006 11/20/2016
3.14.0-beta02 950 11/15/2016
3.14.0-beta01 989 10/30/2016
3.13.1 72,484 9/6/2016
3.13.0 1,686 8/18/2016
3.12.0 8,427 7/3/2016
3.11.1 14,682 4/24/2016
3.11.0 8,623 2/13/2016
3.10.0 11,261 12/30/2015
3.9.0 4,283 11/25/2015
3.8.0 52,543 9/26/2015
3.7.1 4,246 9/21/2015
3.7.0 17,049 5/9/2015
3.6.0 11,994 3/22/2015
3.5.0 7,636 1/10/2015
3.4.0 2,061 1/4/2015
3.3.0 3,137 11/26/2014
3.3.0-beta2 1,099 10/25/2014
3.3.0-beta1 1,137 9/28/2014
3.2.3 25,732 9/6/2014
3.2.2 1,457 9/5/2014
3.2.1 1,883 8/5/2014
3.2.0 1,430 8/5/2014
3.1.0 4,146 7/20/2014
3.0.2 1,895 6/26/2014
3.0.1 1,507 6/24/2014
3.0.0 10,936 6/21/2014
3.0.0-beta05 1,187 6/20/2014
3.0.0-beta04 1,144 6/15/2014
3.0.0-beta03 1,150 6/5/2014
3.0.0-beta02 1,123 5/29/2014
3.0.0-beta01 3,956 4/14/2014
3.0.0-alpha9 1,212 3/29/2014
3.0.0-alpha8 1,179 2/26/2014
3.0.0-alpha7 7,695 12/30/2013
3.0.0-alpha6 1,308 12/2/2013
3.0.0-alpha5 3,922 10/2/2013
3.0.0-alpha4 1,229 9/22/2013
3.0.0-alpha1 1,158 9/1/2013
2.6.0 14,058 7/26/2013
2.5.0 2,186 4/14/2013
2.4.0 1,870 2/3/2013
2.3.0 1,967 11/25/2012
2.2.1 1,888 8/29/2012
2.2.0 1,666 8/27/2012
2.1.2 6,658 10/9/2011
2.1.1 1,868 10/3/2011
2.1.0.19 2,455 10/3/2011

Linear Algebra: pointwise trigonometric and basic functions ~Albert Pang
Linear Algebra: better support for F# built-in operators (sqrt, sin, exp, ..) ~Albert Pang
Linear Algebra: pointwise power operator (F#)
Generate: linear integer ranges