MathNet.Numerics.FSharp 3.0.0-beta01

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There is a newer version of this package available.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 3.0.0-beta01

NuGet\Install-Package MathNet.Numerics.FSharp -Version 3.0.0-beta01

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-beta01" />

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-beta01" />
                    

                            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-beta01

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

#r "nuget: MathNet.Numerics.FSharp, 3.0.0-beta01"

#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-beta01

#: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-beta01&prerelease
                    

                            Install as a Cake Addin

#tool nuget:?package=MathNet.Numerics.FSharp&version=3.0.0-beta01&prerelease
                    

                            Install as a Cake Tool

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

F# Modules for Math.NET Numerics, the numerical foundation of the Math.NET project, aiming to provide methods and algorithms for numerical computations in science, engineering and every day use. Numerics is the result of merging dnAnalytics with Math.NET Iridium and is intended to replace both. Supports .Net 4.0 and Mono (Windows, Linux, Mac), PCL Portable Profiles 47 and 136 (Silverlight 5, Windows Phone 8, .NET for Windows Store Apps), and Android/iOS via 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.

- MathNet.Numerics (>= 3.0.0-beta01)

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.	593.3K
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.	211.9K
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.	161.9K
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.	144.6K
Microsoft.Quantum.Research.Simulation Quantum research libraries for quantum simulation (non-commercial).	89.5K

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).	8.3K
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	285	3/2/2025
6.0.0-beta1	34,318	12/17/2023
5.0.0	1,167,407	4/3/2022
5.0.0-beta02	260	4/3/2022
5.0.0-beta01	20,905	3/6/2022
5.0.0-alpha16	264	2/27/2022
5.0.0-alpha15	267	2/27/2022
5.0.0-alpha14	246	2/27/2022
5.0.0-alpha13	236	2/27/2022
5.0.0-alpha12	248	2/27/2022
5.0.0-alpha11	243	2/27/2022
5.0.0-alpha10	263	2/19/2022
5.0.0-alpha09	251	2/13/2022
5.0.0-alpha08	331	12/23/2021
5.0.0-alpha07	263	12/19/2021
5.0.0-alpha06	262	12/19/2021
5.0.0-alpha05	281	12/19/2021
5.0.0-alpha04	283	12/19/2021
5.0.0-alpha03	284	12/5/2021
5.0.0-alpha02	482	7/11/2021
5.0.0-alpha01	412	6/27/2021
4.15.0	593,759	1/7/2021
4.14.0	1,772	1/1/2021
4.13.0	686	12/30/2020
4.12.0	38,517	8/2/2020
4.11.0	132,570	5/24/2020
4.10.0	767	5/24/2020
4.9.1	20,929	4/12/2020
4.9.0	75,312	10/13/2019
4.8.1	202,155	6/11/2019
4.8.0	2,530	6/2/2019
4.8.0-beta02	596	5/30/2019
4.8.0-beta01	648	4/28/2019
4.7.0	139,152	11/11/2018
4.6.0	3,768	10/19/2018
4.5.1	34,170	5/22/2018
4.5.0	1,533	5/22/2018
4.4.1	1,984	5/6/2018
4.4.0	14,084	2/25/2018
4.3.0	1,490	2/24/2018
4.2.0	2,840	2/21/2018
4.1.0	2,414	2/19/2018
4.0.0	6,325	2/11/2018
4.0.0-beta07	1,200	2/10/2018
4.0.0-beta06	1,215	2/3/2018
4.0.0-beta05	1,227	1/22/2018
4.0.0-beta04	1,201	1/13/2018
4.0.0-beta03	1,182	1/9/2018
4.0.0-beta02	1,302	1/7/2018
4.0.0-beta01	1,162	1/7/2018
4.0.0-alpha04	1,142	1/5/2018
4.0.0-alpha03	1,135	12/26/2017
4.0.0-alpha02	1,065	11/30/2017
4.0.0-alpha01	1,069	11/26/2017
3.20.2	12,978	1/22/2018
3.20.1	1,727	1/13/2018
3.20.0	53,118	7/15/2017
3.20.0-beta01	1,088	5/31/2017
3.19.0	8,211	4/29/2017
3.18.0	15,374	4/9/2017
3.17.0	11,002	1/15/2017
3.16.0	1,980	1/3/2017
3.15.0	1,555	12/27/2016
3.14.0-beta03	1,118	11/20/2016
3.14.0-beta02	1,063	11/15/2016
3.14.0-beta01	1,102	10/30/2016
3.13.1	72,607	9/6/2016
3.13.0	1,801	8/18/2016
3.12.0	8,545	7/3/2016
3.11.1	14,801	4/24/2016
3.11.0	8,794	2/13/2016
3.10.0	11,390	12/30/2015
3.9.0	4,399	11/25/2015
3.8.0	53,339	9/26/2015
3.7.1	4,369	9/21/2015
3.7.0	17,171	5/9/2015
3.6.0	12,116	3/22/2015
3.5.0	7,780	1/10/2015
3.4.0	2,187	1/4/2015
3.3.0	3,264	11/26/2014
3.3.0-beta2	1,217	10/25/2014
3.3.0-beta1	1,271	9/28/2014
3.2.3	25,873	9/6/2014
3.2.2	1,577	9/5/2014
3.2.1	2,008	8/5/2014
3.2.0	1,553	8/5/2014
3.1.0	4,266	7/20/2014
3.0.2	2,026	6/26/2014
3.0.1	1,627	6/24/2014
3.0.0	11,061	6/21/2014
3.0.0-beta05	1,310	6/20/2014
3.0.0-beta04	1,268	6/15/2014
3.0.0-beta03	1,269	6/5/2014
3.0.0-beta02	1,245	5/29/2014
3.0.0-beta01	4,075	4/14/2014
3.0.0-alpha9	1,329	3/29/2014
3.0.0-alpha8	1,306	2/26/2014
3.0.0-alpha7	7,818	12/30/2013
3.0.0-alpha6	1,431	12/2/2013
3.0.0-alpha5	4,051	10/2/2013
3.0.0-alpha4	1,351	9/22/2013
3.0.0-alpha1	1,284	9/1/2013
2.6.0	14,215	7/26/2013
2.5.0	2,318	4/14/2013
2.4.0	1,995	2/3/2013
2.3.0	2,096	11/25/2012
2.2.1	2,012	8/29/2012
2.2.0	1,812	8/27/2012
2.1.2	6,804	10/9/2011
2.1.1	1,997	10/3/2011
2.1.0.19	2,600	10/3/2011

Since v3.0.0-alpha9:

Vectors/Matrices: optimized out-place map; pos-integer matrix power; pointwise-power, exp, ln; RemoveRow/Column; usability fixes for F# extensions.

Iterative Solver: delegate stop criterion; renamed criterium to criterion.

Statistics: skewness/kurtosis; RunningStatistics; Direct median (instead of R8-quantile).

Distributions: static sample functions; Triangular; fixes in Categorical.

BigRational: support for negative integer powers.