MathNet.Numerics.FSharp 4.8.0-beta02

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There is a newer version of this package available.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 4.8.0-beta02                
NuGet\Install-Package MathNet.Numerics.FSharp -Version 4.8.0-beta02                
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="4.8.0-beta02" />                
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add MathNet.Numerics.FSharp --version 4.8.0-beta02                
#r "nuget: MathNet.Numerics.FSharp, 4.8.0-beta02"                
#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=4.8.0-beta02&prerelease

// Install MathNet.Numerics.FSharp as a Cake Tool
#tool nuget:?package=MathNet.Numerics.FSharp&version=4.8.0-beta02&prerelease                

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. Supports .Net Framework 4.5 or higher and .Net Standard 1.6 or higher, on Windows, Linux and Mac.

Product Compatible and additional computed target framework versions.
.NET net5.0 was computed.  net5.0-windows was computed.  net6.0 was computed.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 was computed.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 was computed.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed. 
.NET Core netcoreapp1.0 was computed.  netcoreapp1.1 was computed.  netcoreapp2.0 was computed.  netcoreapp2.1 was computed.  netcoreapp2.2 was computed.  netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard1.6 is compatible.  netstandard2.0 is compatible.  netstandard2.1 was computed. 
.NET Framework net45 is compatible.  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. 
MonoAndroid monoandroid was computed. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
Tizen tizen30 was computed.  tizen40 was computed.  tizen60 was computed. 
Xamarin.iOS xamarinios was computed. 
Xamarin.Mac xamarinmac was computed. 
Xamarin.TVOS xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos 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
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A robust execution client for Ethereum node operators.
Version Downloads Last updated
6.0.0-beta1 16,757 12/17/2023
5.0.0 740,102 4/3/2022
5.0.0-beta02 202 4/3/2022
5.0.0-beta01 18,376 3/6/2022
5.0.0-alpha16 200 2/27/2022
5.0.0-alpha15 186 2/27/2022
5.0.0-alpha14 191 2/27/2022
5.0.0-alpha13 185 2/27/2022
5.0.0-alpha12 192 2/27/2022
5.0.0-alpha11 183 2/27/2022
5.0.0-alpha10 202 2/19/2022
5.0.0-alpha09 192 2/13/2022
5.0.0-alpha08 259 12/23/2021
5.0.0-alpha07 198 12/19/2021
5.0.0-alpha06 205 12/19/2021
5.0.0-alpha05 202 12/19/2021
5.0.0-alpha04 200 12/19/2021
5.0.0-alpha03 228 12/5/2021
5.0.0-alpha02 414 7/11/2021
5.0.0-alpha01 351 6/27/2021
4.15.0 511,578 1/7/2021
4.14.0 1,672 1/1/2021
4.13.0 603 12/30/2020
4.12.0 36,047 8/2/2020
4.11.0 126,180 5/24/2020
4.10.0 680 5/24/2020
4.9.1 20,430 4/12/2020
4.9.0 73,218 10/13/2019
4.8.1 191,048 6/11/2019
4.8.0 2,427 6/2/2019
4.8.0-beta02 518 5/30/2019
4.8.0-beta01 567 4/28/2019
4.7.0 131,421 11/11/2018
4.6.0 3,632 10/19/2018
4.5.1 33,129 5/22/2018
4.5.0 1,254 5/22/2018
4.4.1 1,640 5/6/2018
4.4.0 13,774 2/25/2018
4.3.0 1,216 2/24/2018
4.2.0 2,515 2/21/2018
4.1.0 2,134 2/19/2018
4.0.0 5,826 2/11/2018
4.0.0-beta07 900 2/10/2018
4.0.0-beta06 923 2/3/2018
4.0.0-beta05 942 1/22/2018
4.0.0-beta04 929 1/13/2018
4.0.0-beta03 901 1/9/2018
4.0.0-beta02 1,007 1/7/2018
4.0.0-beta01 884 1/7/2018
4.0.0-alpha04 861 1/5/2018
4.0.0-alpha03 861 12/26/2017
4.0.0-alpha02 880 11/30/2017
4.0.0-alpha01 875 11/26/2017
3.20.2 12,634 1/22/2018
3.20.1 1,446 1/13/2018
3.20.0 51,620 7/15/2017
3.20.0-beta01 894 5/31/2017
3.19.0 8,012 4/29/2017
3.18.0 15,130 4/9/2017
3.17.0 10,790 1/15/2017
3.16.0 1,754 1/3/2017
3.15.0 1,351 12/27/2016
3.14.0-beta03 924 11/20/2016
3.14.0-beta02 870 11/15/2016
3.14.0-beta01 906 10/30/2016
3.13.1 72,386 9/6/2016
3.13.0 1,602 8/18/2016
3.12.0 8,331 7/3/2016
3.11.1 14,597 4/24/2016
3.11.0 8,487 2/13/2016
3.10.0 11,172 12/30/2015
3.9.0 4,195 11/25/2015
3.8.0 51,642 9/26/2015
3.7.1 4,156 9/21/2015
3.7.0 16,959 5/9/2015
3.6.0 11,866 3/22/2015
3.5.0 7,522 1/10/2015
3.4.0 1,970 1/4/2015
3.3.0 3,025 11/26/2014
3.3.0-beta2 1,007 10/25/2014
3.3.0-beta1 1,025 9/28/2014
3.2.3 25,605 9/6/2014
3.2.2 1,363 9/5/2014
3.2.1 1,790 8/5/2014
3.2.0 1,338 8/5/2014
3.1.0 4,052 7/20/2014
3.0.2 1,801 6/26/2014
3.0.1 1,414 6/24/2014
3.0.0 10,825 6/21/2014
3.0.0-beta05 1,079 6/20/2014
3.0.0-beta04 1,054 6/15/2014
3.0.0-beta03 1,042 6/5/2014
3.0.0-beta02 1,034 5/29/2014
3.0.0-beta01 3,865 4/14/2014
3.0.0-alpha9 1,121 3/29/2014
3.0.0-alpha8 1,085 2/26/2014
3.0.0-alpha7 7,584 12/30/2013
3.0.0-alpha6 1,219 12/2/2013
3.0.0-alpha5 3,832 10/2/2013
3.0.0-alpha4 1,137 9/22/2013
3.0.0-alpha1 1,068 9/1/2013
2.6.0 13,938 7/26/2013
2.5.0 2,087 4/14/2013
2.4.0 1,772 2/3/2013
2.3.0 1,867 11/25/2012
2.2.1 1,773 8/29/2012
2.2.0 1,567 8/27/2012
2.1.2 6,548 10/9/2011
2.1.1 1,763 10/3/2011
2.1.0.19 2,334 10/3/2011

Optimization: Levenberg-Marquardt, Trust-Region Dogleg ~Jong Hyun Kim
Optimization: Nelder-Mead-Simplex: Improve convergence for symmetrical functions ~Erik Ovegard
BUG: Optimization: Nelder-Mead-Simplex did not return the best evaluated point in some cases ~Eric Scott Salem
Factorial: first 170 values now constant (data segment) instead of precomputed on first use ~Portalez Regis
Window Functions: Tukey window ~Marco Ross