MathNet.Numerics.FSharp 5.0.0-beta02

Prefix Reserved
.NET 5.0 This package targets .NET 5.0. The package is compatible with this framework or higher. .NET Standard 2.0 This package targets .NET Standard 2.0. The package is compatible with this framework or higher. .NET Framework 4.6.1 This package targets .NET Framework 4.6.1. 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There is a newer version of this package available.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 5.0.0-beta02                

                    
                

            
NuGet\Install-Package MathNet.Numerics.FSharp -Version 5.0.0-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="5.0.0-beta02" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add MathNet.Numerics.FSharp --version 5.0.0-beta02                

                    
                

            
#r "nuget: MathNet.Numerics.FSharp, 5.0.0-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=5.0.0-beta02&prerelease

// Install MathNet.Numerics.FSharp as a Cake Tool
#tool nuget:?package=MathNet.Numerics.FSharp&version=5.0.0-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 5.0 or higher, .NET Standard 2.0 and .NET Framework 4.6.1 or higher, on Windows, Linux and Mac.

Product Compatible and additional computed target framework versions.
.NET net5.0 is compatible.  net5.0-windows was computed.  net6.0 is compatible.  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 netcoreapp2.0 was computed.  netcoreapp2.1 was computed.  netcoreapp2.2 was computed.  netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard2.0 is compatible.  netstandard2.1 was computed. 
.NET Framework net461 is compatible.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 is compatible.  net481 was computed. 
MonoAndroid monoandroid was computed. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
Tizen 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
NethermindEth/nethermind
A robust execution client for Ethereum node operators.
Version Downloads Last updated
6.0.0-beta1 13,712 12/17/2023
5.0.0 690,841 4/3/2022
5.0.0-beta02 194 4/3/2022
5.0.0-beta01 18,267 3/6/2022
5.0.0-alpha16 195 2/27/2022
5.0.0-alpha15 181 2/27/2022
5.0.0-alpha14 186 2/27/2022
5.0.0-alpha13 180 2/27/2022
5.0.0-alpha12 187 2/27/2022
5.0.0-alpha11 178 2/27/2022
5.0.0-alpha10 197 2/19/2022
5.0.0-alpha09 187 2/13/2022
5.0.0-alpha08 254 12/23/2021
5.0.0-alpha07 194 12/19/2021
5.0.0-alpha06 201 12/19/2021
5.0.0-alpha05 198 12/19/2021
5.0.0-alpha04 196 12/19/2021
5.0.0-alpha03 224 12/5/2021
5.0.0-alpha02 410 7/11/2021
5.0.0-alpha01 347 6/27/2021
4.15.0 500,020 1/7/2021
4.14.0 1,666 1/1/2021
4.13.0 597 12/30/2020
4.12.0 35,507 8/2/2020
4.11.0 125,350 5/24/2020
4.10.0 674 5/24/2020
4.9.1 20,356 4/12/2020
4.9.0 73,141 10/13/2019
4.8.1 189,624 6/11/2019
4.8.0 2,419 6/2/2019
4.8.0-beta02 514 5/30/2019
4.8.0-beta01 563 4/28/2019
4.7.0 129,915 11/11/2018
4.6.0 3,617 10/19/2018
4.5.1 33,071 5/22/2018
4.5.0 1,241 5/22/2018
4.4.1 1,624 5/6/2018
4.4.0 13,763 2/25/2018
4.3.0 1,205 2/24/2018
4.2.0 2,469 2/21/2018
4.1.0 2,123 2/19/2018
4.0.0 5,812 2/11/2018
4.0.0-beta07 891 2/10/2018
4.0.0-beta06 914 2/3/2018
4.0.0-beta05 933 1/22/2018
4.0.0-beta04 920 1/13/2018
4.0.0-beta03 892 1/9/2018
4.0.0-beta02 998 1/7/2018
4.0.0-beta01 875 1/7/2018
4.0.0-alpha04 852 1/5/2018
4.0.0-alpha03 851 12/26/2017
4.0.0-alpha02 867 11/30/2017
4.0.0-alpha01 864 11/26/2017
3.20.2 12,616 1/22/2018
3.20.1 1,432 1/13/2018
3.20.0 51,411 7/15/2017
3.20.0-beta01 885 5/31/2017
3.19.0 8,001 4/29/2017
3.18.0 15,115 4/9/2017
3.17.0 10,768 1/15/2017
3.16.0 1,740 1/3/2017
3.15.0 1,340 12/27/2016
3.14.0-beta03 915 11/20/2016
3.14.0-beta02 861 11/15/2016
3.14.0-beta01 895 10/30/2016
3.13.1 72,373 9/6/2016
3.13.0 1,591 8/18/2016
3.12.0 8,320 7/3/2016
3.11.1 14,586 4/24/2016
3.11.0 8,474 2/13/2016
3.10.0 11,161 12/30/2015
3.9.0 4,182 11/25/2015
3.8.0 51,427 9/26/2015
3.7.1 4,144 9/21/2015
3.7.0 16,948 5/9/2015
3.6.0 11,855 3/22/2015
3.5.0 7,503 1/10/2015
3.4.0 1,958 1/4/2015
3.3.0 2,999 11/26/2014
3.3.0-beta2 996 10/25/2014
3.3.0-beta1 1,016 9/28/2014
3.2.3 25,581 9/6/2014
3.2.2 1,352 9/5/2014
3.2.1 1,779 8/5/2014
3.2.0 1,325 8/5/2014
3.1.0 4,040 7/20/2014
3.0.2 1,790 6/26/2014
3.0.1 1,403 6/24/2014
3.0.0 10,812 6/21/2014
3.0.0-beta05 1,070 6/20/2014
3.0.0-beta04 1,045 6/15/2014
3.0.0-beta03 1,033 6/5/2014
3.0.0-beta02 1,025 5/29/2014
3.0.0-beta01 3,854 4/14/2014
3.0.0-alpha9 1,112 3/29/2014
3.0.0-alpha8 1,076 2/26/2014
3.0.0-alpha7 7,563 12/30/2013
3.0.0-alpha6 1,208 12/2/2013
3.0.0-alpha5 3,821 10/2/2013
3.0.0-alpha4 1,128 9/22/2013
3.0.0-alpha1 1,059 9/1/2013
2.6.0 13,916 7/26/2013
2.5.0 2,076 4/14/2013
2.4.0 1,762 2/3/2013
2.3.0 1,856 11/25/2012
2.2.1 1,761 8/29/2012
2.2.0 1,557 8/27/2012
2.1.2 6,530 10/9/2011
2.1.1 1,752 10/3/2011
2.1.0.19 2,319 10/3/2011

BUG: Fix sparse inplace pointwise multiplication and division ~jkalias
Code maintenance, prefer looping over local arrays