MathNet.Numerics.FSharp 3.0.0-beta04

Prefix Reserved
.NET Framework 4.0 This package targets .NET Framework 4.0. The package is compatible with this framework or higher.
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There is a newer version of this package available.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 3.0.0-beta04
                    


                    

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


                            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 3.0.0-beta04
                    


                    

                
#r "nuget: MathNet.Numerics.FSharp, 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. 
#:package MathNet.Numerics.FSharp@3.0.0-beta04
#:package directive can be used in C# file-based apps starting in .NET 10 preview 4. Copy this into a .cs file before any lines of code to reference the package. 
#addin nuget:?package=MathNet.Numerics.FSharp&version=3.0.0-beta04&prerelease
                    


                            Install as a Cake Addin
                        

                    

                
#tool nuget:?package=MathNet.Numerics.FSharp&version=3.0.0-beta04&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 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 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 279 3/2/2025
6.0.0-beta1 33,882 12/17/2023
5.0.0 1,158,887 4/3/2022
5.0.0-beta02 257 4/3/2022
5.0.0-beta01 20,836 3/6/2022
5.0.0-alpha16 261 2/27/2022
5.0.0-alpha15 264 2/27/2022
5.0.0-alpha14 243 2/27/2022
5.0.0-alpha13 233 2/27/2022
5.0.0-alpha12 244 2/27/2022
5.0.0-alpha11 239 2/27/2022
5.0.0-alpha10 259 2/19/2022
5.0.0-alpha09 248 2/13/2022
5.0.0-alpha08 328 12/23/2021
5.0.0-alpha07 260 12/19/2021
5.0.0-alpha06 258 12/19/2021
5.0.0-alpha05 278 12/19/2021
5.0.0-alpha04 280 12/19/2021
5.0.0-alpha03 281 12/5/2021
5.0.0-alpha02 477 7/11/2021
5.0.0-alpha01 409 6/27/2021
4.15.0 591,675 1/7/2021
4.14.0 1,768 1/1/2021
4.13.0 683 12/30/2020
4.12.0 38,485 8/2/2020
4.11.0 132,458 5/24/2020
4.10.0 764 5/24/2020
4.9.1 20,901 4/12/2020
4.9.0 75,298 10/13/2019
4.8.1 201,519 6/11/2019
4.8.0 2,526 6/2/2019
4.8.0-beta02 593 5/30/2019
4.8.0-beta01 645 4/28/2019
4.7.0 139,074 11/11/2018
4.6.0 3,764 10/19/2018
4.5.1 34,153 5/22/2018
4.5.0 1,525 5/22/2018
4.4.1 1,975 5/6/2018
4.4.0 14,075 2/25/2018
4.3.0 1,481 2/24/2018
4.2.0 2,827 2/21/2018
4.1.0 2,405 2/19/2018
4.0.0 6,309 2/11/2018
4.0.0-beta07 1,190 2/10/2018
4.0.0-beta06 1,206 2/3/2018
4.0.0-beta05 1,218 1/22/2018
4.0.0-beta04 1,194 1/13/2018
4.0.0-beta03 1,173 1/9/2018
4.0.0-beta02 1,295 1/7/2018
4.0.0-beta01 1,153 1/7/2018
4.0.0-alpha04 1,133 1/5/2018
4.0.0-alpha03 1,126 12/26/2017
4.0.0-alpha02 1,057 11/30/2017
4.0.0-alpha01 1,063 11/26/2017
3.20.2 12,968 1/22/2018
3.20.1 1,719 1/13/2018
3.20.0 53,089 7/15/2017
3.20.0-beta01 1,081 5/31/2017
3.19.0 8,204 4/29/2017
3.18.0 15,368 4/9/2017
3.17.0 10,995 1/15/2017
3.16.0 1,972 1/3/2017
3.15.0 1,548 12/27/2016
3.14.0-beta03 1,111 11/20/2016
3.14.0-beta02 1,057 11/15/2016
3.14.0-beta01 1,094 10/30/2016
3.13.1 72,600 9/6/2016
3.13.0 1,795 8/18/2016
3.12.0 8,539 7/3/2016
3.11.1 14,795 4/24/2016
3.11.0 8,786 2/13/2016
3.10.0 11,384 12/30/2015
3.9.0 4,393 11/25/2015
3.8.0 53,276 9/26/2015
3.7.1 4,361 9/21/2015
3.7.0 17,165 5/9/2015
3.6.0 12,110 3/22/2015
3.5.0 7,774 1/10/2015
3.4.0 2,181 1/4/2015
3.3.0 3,257 11/26/2014
3.3.0-beta2 1,211 10/25/2014
3.3.0-beta1 1,264 9/28/2014
3.2.3 25,863 9/6/2014
3.2.2 1,571 9/5/2014
3.2.1 2,000 8/5/2014
3.2.0 1,547 8/5/2014
3.1.0 4,260 7/20/2014
3.0.2 2,020 6/26/2014
3.0.1 1,621 6/24/2014
3.0.0 11,055 6/21/2014
3.0.0-beta05 1,300 6/20/2014
3.0.0-beta04 1,262 6/15/2014
3.0.0-beta03 1,263 6/5/2014
3.0.0-beta02 1,239 5/29/2014
3.0.0-beta01 4,067 4/14/2014
3.0.0-alpha9 1,321 3/29/2014
3.0.0-alpha8 1,298 2/26/2014
3.0.0-alpha7 7,811 12/30/2013
3.0.0-alpha6 1,424 12/2/2013
3.0.0-alpha5 4,044 10/2/2013
3.0.0-alpha4 1,345 9/22/2013
3.0.0-alpha1 1,278 9/1/2013
2.6.0 14,208 7/26/2013
2.5.0 2,312 4/14/2013
2.4.0 1,989 2/3/2013
2.3.0 2,090 11/25/2012
2.2.1 2,006 8/29/2012
2.2.0 1,805 8/27/2012
2.1.2 6,798 10/9/2011
2.1.1 1,991 10/3/2011
2.1.0.19 2,594 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