MathNet.Numerics.FSharp 3.17.0

Prefix Reserved
.NET Framework 3.5 This package targets .NET Framework 3.5. The package is compatible with this framework or higher.
There is a newer version of this package available.
See the version list below for details. 
dotnet add package MathNet.Numerics.FSharp --version 3.17.0                

                    
                

            
NuGet\Install-Package MathNet.Numerics.FSharp -Version 3.17.0
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="3.17.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add MathNet.Numerics.FSharp --version 3.17.0                

                    
                

            
#r "nuget: MathNet.Numerics.FSharp, 3.17.0"
#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.FSharp as a Cake Addin
#addin nuget:?package=MathNet.Numerics.FSharp&version=3.17.0

// Install MathNet.Numerics.FSharp as a Cake Tool
#tool nuget:?package=MathNet.Numerics.FSharp&version=3.17.0

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 (34)

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 (2)

Showing the top 2 popular GitHub repositories that depend on MathNet.Numerics.FSharp:

Repository Stars
mathnet/mathnet-numerics
Math.NET Numerics
NethermindEth/nethermind
A robust execution client for Ethereum node operators.
Version Downloads Last updated
6.0.0-beta1 12,241 12/17/2023
5.0.0 676,229 4/3/2022
5.0.0-beta02 192 4/3/2022
5.0.0-beta01 18,262 3/6/2022
5.0.0-alpha16 193 2/27/2022
5.0.0-alpha15 179 2/27/2022
5.0.0-alpha14 184 2/27/2022
5.0.0-alpha13 178 2/27/2022
5.0.0-alpha12 185 2/27/2022
5.0.0-alpha11 174 2/27/2022
5.0.0-alpha10 195 2/19/2022
5.0.0-alpha09 185 2/13/2022
5.0.0-alpha08 248 12/23/2021
5.0.0-alpha07 192 12/19/2021
5.0.0-alpha06 199 12/19/2021
5.0.0-alpha05 196 12/19/2021
5.0.0-alpha04 194 12/19/2021
5.0.0-alpha03 222 12/5/2021
5.0.0-alpha02 408 7/11/2021
5.0.0-alpha01 345 6/27/2021
4.15.0 494,052 1/7/2021
4.14.0 1,663 1/1/2021
4.13.0 595 12/30/2020
4.12.0 35,327 8/2/2020
4.11.0 124,865 5/24/2020
4.10.0 672 5/24/2020
4.9.1 20,293 4/12/2020
4.9.0 73,107 10/13/2019
4.8.1 188,716 6/11/2019
4.8.0 2,411 6/2/2019
4.8.0-beta02 510 5/30/2019
4.8.0-beta01 559 4/28/2019
4.7.0 129,324 11/11/2018
4.6.0 3,613 10/19/2018
4.5.1 33,018 5/22/2018
4.5.0 1,237 5/22/2018
4.4.1 1,620 5/6/2018
4.4.0 13,759 2/25/2018
4.3.0 1,201 2/24/2018
4.2.0 2,414 2/21/2018
4.1.0 2,119 2/19/2018
4.0.0 5,801 2/11/2018
4.0.0-beta07 887 2/10/2018
4.0.0-beta06 910 2/3/2018
4.0.0-beta05 927 1/22/2018
4.0.0-beta04 916 1/13/2018
4.0.0-beta03 888 1/9/2018
4.0.0-beta02 994 1/7/2018
4.0.0-beta01 869 1/7/2018
4.0.0-alpha04 848 1/5/2018
4.0.0-alpha03 847 12/26/2017
4.0.0-alpha02 863 11/30/2017
4.0.0-alpha01 860 11/26/2017
3.20.2 12,606 1/22/2018
3.20.1 1,428 1/13/2018
3.20.0 51,283 7/15/2017
3.20.0-beta01 881 5/31/2017
3.19.0 7,995 4/29/2017
3.18.0 15,110 4/9/2017
3.17.0 10,762 1/15/2017
3.16.0 1,736 1/3/2017
3.15.0 1,336 12/27/2016
3.14.0-beta03 911 11/20/2016
3.14.0-beta02 857 11/15/2016
3.14.0-beta01 891 10/30/2016
3.13.1 72,354 9/6/2016
3.13.0 1,587 8/18/2016
3.12.0 8,316 7/3/2016
3.11.1 14,582 4/24/2016
3.11.0 8,467 2/13/2016
3.10.0 11,157 12/30/2015
3.9.0 4,178 11/25/2015
3.8.0 51,327 9/26/2015
3.7.1 4,140 9/21/2015
3.7.0 16,941 5/9/2015
3.6.0 11,851 3/22/2015
3.5.0 7,490 1/10/2015
3.4.0 1,954 1/4/2015
3.3.0 2,981 11/26/2014
3.3.0-beta2 992 10/25/2014
3.3.0-beta1 1,012 9/28/2014
3.2.3 25,561 9/6/2014
3.2.2 1,348 9/5/2014
3.2.1 1,776 8/5/2014
3.2.0 1,321 8/5/2014
3.1.0 4,035 7/20/2014
3.0.2 1,785 6/26/2014
3.0.1 1,399 6/24/2014
3.0.0 10,807 6/21/2014
3.0.0-beta05 1,066 6/20/2014
3.0.0-beta04 1,039 6/15/2014
3.0.0-beta03 1,029 6/5/2014
3.0.0-beta02 1,021 5/29/2014
3.0.0-beta01 3,846 4/14/2014
3.0.0-alpha9 1,106 3/29/2014
3.0.0-alpha8 1,070 2/26/2014
3.0.0-alpha7 7,557 12/30/2013
3.0.0-alpha6 1,202 12/2/2013
3.0.0-alpha5 3,815 10/2/2013
3.0.0-alpha4 1,122 9/22/2013
3.0.0-alpha1 1,053 9/1/2013
2.6.0 13,906 7/26/2013
2.5.0 2,067 4/14/2013
2.4.0 1,755 2/3/2013
2.3.0 1,849 11/25/2012
2.2.1 1,755 8/29/2012
2.2.0 1,551 8/27/2012
2.1.2 6,520 10/9/2011
2.1.1 1,746 10/3/2011
2.1.0.19 2,310 10/3/2011

Random: random sources (all except crypto) now support ephemeral serialization.
Linear Algebra: explicit impl to copy a range of a row of a sparse matrix to a range of a sparse vector ~arthurvb
Linear Algebra: explicitly demand fully modifiable matrix where needed, fixes issues with diagonal matrices.
FFT: leverage new matrix internal array access approach in 2D matrix transformations.