MathNet.Numerics.FSharp 3.6.0

Prefix Reserved

There is a newer version of this package available.
See the version list below for details.

dotnet add package MathNet.Numerics.FSharp --version 3.6.0

NuGet\Install-Package MathNet.Numerics.FSharp -Version 3.6.0

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="3.6.0" />

For projects that support PackageReference, copy this XML node into the project file to reference the package.

<PackageVersion Include="MathNet.Numerics.FSharp" Version="3.6.0" />
                    

                            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 3.6.0

The NuGet Team does not provide support for this client. Please contact its maintainers for support.

#r "nuget: MathNet.Numerics.FSharp, 3.6.0"

#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.

#addin nuget:?package=MathNet.Numerics.FSharp&version=3.6.0
                    

                            Install as a Cake Addin

#tool nuget:?package=MathNet.Numerics.FSharp&version=3.6.0
                    

                            Install as a Cake Tool

The NuGet Team does not provide support for this client. Please contact its maintainers for support.

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.

- FSharp.Core (>= 3.1.2.1)
- MathNet.Numerics (= 3.6.0)

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.	588.3K
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.	210.1K
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.	159.8K
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.	139.6K
Microsoft.Quantum.Research.Simulation Quantum research libraries for quantum simulation (non-commercial).	88.2K

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).	8.2K
mathnet/mathnet-numerics Math.NET Numerics	3.6K
NethermindEth/nethermind A robust execution client for Ethereum node operators.	1.4K

Version	Downloads	Last Updated
6.0.0-beta2	253	3/2/2025
6.0.0-beta1	32,868	12/17/2023
5.0.0	1,120,450	4/3/2022
5.0.0-beta02	251	4/3/2022
5.0.0-beta01	20,743	3/6/2022
5.0.0-alpha16	256	2/27/2022
5.0.0-alpha15	257	2/27/2022
5.0.0-alpha14	238	2/27/2022
5.0.0-alpha13	229	2/27/2022
5.0.0-alpha12	238	2/27/2022
5.0.0-alpha11	234	2/27/2022
5.0.0-alpha10	252	2/19/2022
5.0.0-alpha09	241	2/13/2022
5.0.0-alpha08	319	12/23/2021
5.0.0-alpha07	253	12/19/2021
5.0.0-alpha06	253	12/19/2021
5.0.0-alpha05	274	12/19/2021
5.0.0-alpha04	275	12/19/2021
5.0.0-alpha03	276	12/5/2021
5.0.0-alpha02	471	7/11/2021
5.0.0-alpha01	403	6/27/2021
4.15.0	585,427	1/7/2021
4.14.0	1,759	1/1/2021
4.13.0	674	12/30/2020
4.12.0	38,264	8/2/2020
4.11.0	131,933	5/24/2020
4.10.0	754	5/24/2020
4.9.1	20,838	4/12/2020
4.9.0	75,246	10/13/2019
4.8.1	200,210	6/11/2019
4.8.0	2,518	6/2/2019
4.8.0-beta02	583	5/30/2019
4.8.0-beta01	637	4/28/2019
4.7.0	138,749	11/11/2018
4.6.0	3,756	10/19/2018
4.5.1	34,103	5/22/2018
4.5.0	1,505	5/22/2018
4.4.1	1,955	5/6/2018
4.4.0	14,055	2/25/2018
4.3.0	1,463	2/24/2018
4.2.0	2,806	2/21/2018
4.1.0	2,386	2/19/2018
4.0.0	6,280	2/11/2018
4.0.0-beta07	1,172	2/10/2018
4.0.0-beta06	1,187	2/3/2018
4.0.0-beta05	1,198	1/22/2018
4.0.0-beta04	1,176	1/13/2018
4.0.0-beta03	1,153	1/9/2018
4.0.0-beta02	1,276	1/7/2018
4.0.0-beta01	1,134	1/7/2018
4.0.0-alpha04	1,114	1/5/2018
4.0.0-alpha03	1,109	12/26/2017
4.0.0-alpha02	1,044	11/30/2017
4.0.0-alpha01	1,048	11/26/2017
3.20.2	12,944	1/22/2018
3.20.1	1,701	1/13/2018
3.20.0	52,963	7/15/2017
3.20.0-beta01	1,068	5/31/2017
3.19.0	8,191	4/29/2017
3.18.0	15,353	4/9/2017
3.17.0	10,979	1/15/2017
3.16.0	1,957	1/3/2017
3.15.0	1,531	12/27/2016
3.14.0-beta03	1,097	11/20/2016
3.14.0-beta02	1,044	11/15/2016
3.14.0-beta01	1,081	10/30/2016
3.13.1	72,585	9/6/2016
3.13.0	1,784	8/18/2016
3.12.0	8,526	7/3/2016
3.11.1	14,782	4/24/2016
3.11.0	8,768	2/13/2016
3.10.0	11,368	12/30/2015
3.9.0	4,381	11/25/2015
3.8.0	53,131	9/26/2015
3.7.1	4,346	9/21/2015
3.7.0	17,152	5/9/2015
3.6.0	12,098	3/22/2015
3.5.0	7,761	1/10/2015
3.4.0	2,167	1/4/2015
3.3.0	3,242	11/26/2014
3.3.0-beta2	1,195	10/25/2014
3.3.0-beta1	1,251	9/28/2014
3.2.3	25,847	9/6/2014
3.2.2	1,558	9/5/2014
3.2.1	1,987	8/5/2014
3.2.0	1,533	8/5/2014
3.1.0	4,248	7/20/2014
3.0.2	2,003	6/26/2014
3.0.1	1,608	6/24/2014
3.0.0	11,040	6/21/2014
3.0.0-beta05	1,287	6/20/2014
3.0.0-beta04	1,248	6/15/2014
3.0.0-beta03	1,252	6/5/2014
3.0.0-beta02	1,225	5/29/2014
3.0.0-beta01	4,056	4/14/2014
3.0.0-alpha9	1,308	3/29/2014
3.0.0-alpha8	1,283	2/26/2014
3.0.0-alpha7	7,793	12/30/2013
3.0.0-alpha6	1,409	12/2/2013
3.0.0-alpha5	4,027	10/2/2013
3.0.0-alpha4	1,326	9/22/2013
3.0.0-alpha1	1,259	9/1/2013
2.6.0	14,186	7/26/2013
2.5.0	2,292	4/14/2013
2.4.0	1,972	2/3/2013
2.3.0	2,072	11/25/2012
2.2.1	1,987	8/29/2012
2.2.0	1,785	8/27/2012
2.1.2	6,777	10/9/2011
2.1.1	1,972	10/3/2011
2.1.0.19	2,568	10/3/2011

Distributions: ChiSquare.CDF more robust for large numbers ~Baltazar Bieniek
Linear Algebra: MatrixStorage.Map2 equivalent to VectorStorage.Map2
Linear Algebra: Matrix and Vector Find/Find2, Exists/Exists2, ForAll/ForAll2
Linear Algebra: more consistent range checking in MatrixStorage.Clear and related
Linear Algebra: mixed-storage fall back implementations now leverage higher-order functions
BUG: Linear Algebra: fix loop range in MatrixStorage.ClearColumns (built-in storage not affected)
BUG: Linear Algebra: fix sparse matrix equality.
BUG: Linear Algebra: ArgumentException instead of index exception when trying to create an empty matrix.
Generate: Unfold, Fibonacci; Normal and Standard replacing Gaussian and Stable.
Native Providers: NativeProviderLoader to automatically load the provider for the matching processor architecture (x86, x64) ~Kuan Bartel
Native Providers: Control.NativeProviderPath allowing to explicitly declare where to load binaries from.
MKL Native Provider: support for native complex eigen-value decomposition ~Marcus Cuda
MKL Native Provider: non-convergence checks in singular-value and eigen-value decompositions ~Marcus Cuda