MathNet.Numerics.FSharp 3.0.0-beta05

Prefix Reserved
.NET Framework 4.0 This package targets .NET Framework 4.0. 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There is a newer version of this package available.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 3.0.0-beta05
                    


                    

                
NuGet\Install-Package MathNet.Numerics.FSharp -Version 3.0.0-beta05
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-beta05" />
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-beta05" />
                    


                            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-beta05
                    


                    

                
#r "nuget: MathNet.Numerics.FSharp, 3.0.0-beta05"
#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-beta05
#: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-beta05&prerelease
                    


                            Install as a Cake Addin
                        

                    

                
#tool nuget:?package=MathNet.Numerics.FSharp&version=3.0.0-beta05&prerelease
                    


                            Install as a Cake Tool

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 and Mono on Windows, Linux and Mac; Silverlight 5, WindowsPhone/SL 8, WindowsPhone 8.1 and Windows 8 with PCL Portable Profiles 47 and 344; Android/iOS with 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.

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.
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 (4)

Showing the top 4 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).
mathnet/mathnet-numerics
Math.NET Numerics
NethermindEth/nethermind
A robust execution client for Ethereum node operators.
lornshrimp/Lorn.ADSP
这是一个开源的互联网在线广告投放系统。该系统可用于网站、视频播放的所有页面广告、视频广告以及无线客户端、TV广告的管理、播放、定向和统计，包括了业务管理、售前计划管理、广告活动管理、广告引擎、播放器内广告、展示广告、数据及商业智能、人群定向、第三方广告管理等几大模块。采用C#和F#编写而成，并可部署于多种云上。
Version Downloads Last Updated
6.0.0-beta2 388 3/2/2025
6.0.0-beta1 38,089 12/17/2023
5.0.0 1,254,243 4/3/2022
5.0.0-beta02 287 4/3/2022
5.0.0-beta01 21,457 3/6/2022
5.0.0-alpha16 292 2/27/2022
5.0.0-alpha15 294 2/27/2022
5.0.0-alpha14 272 2/27/2022
5.0.0-alpha13 264 2/27/2022
5.0.0-alpha12 280 2/27/2022
5.0.0-alpha11 271 2/27/2022
5.0.0-alpha10 288 2/19/2022
5.0.0-alpha09 278 2/13/2022
5.0.0-alpha08 356 12/23/2021
5.0.0-alpha07 289 12/19/2021
5.0.0-alpha06 288 12/19/2021
5.0.0-alpha05 308 12/19/2021
5.0.0-alpha04 310 12/19/2021
5.0.0-alpha03 312 12/5/2021
5.0.0-alpha02 516 7/11/2021
5.0.0-alpha01 439 6/27/2021
4.15.0 609,580 1/7/2021
4.14.0 1,853 1/1/2021
4.13.0 769 12/30/2020
4.12.0 38,751 8/2/2020
4.11.0 133,925 5/24/2020
4.10.0 850 5/24/2020
4.9.1 21,155 4/12/2020
4.9.0 75,445 10/13/2019
4.8.1 205,246 6/11/2019
4.8.0 2,616 6/2/2019
4.8.0-beta02 624 5/30/2019
4.8.0-beta01 677 4/28/2019
4.7.0 141,485 11/11/2018
4.6.0 3,856 10/19/2018
4.5.1 34,334 5/22/2018
4.5.0 1,662 5/22/2018
4.4.1 2,127 5/6/2018
4.4.0 14,210 2/25/2018
4.3.0 1,619 2/24/2018
4.2.0 2,988 2/21/2018
4.1.0 2,545 2/19/2018
4.0.0 6,474 2/11/2018
4.0.0-beta07 1,274 2/10/2018
4.0.0-beta06 1,294 2/3/2018
4.0.0-beta05 1,299 1/22/2018
4.0.0-beta04 1,276 1/13/2018
4.0.0-beta03 1,254 1/9/2018
4.0.0-beta02 1,378 1/7/2018
4.0.0-beta01 1,234 1/7/2018
4.0.0-alpha04 1,217 1/5/2018
4.0.0-alpha03 1,211 12/26/2017
4.0.0-alpha02 1,116 11/30/2017
4.0.0-alpha01 1,121 11/26/2017
3.20.2 13,117 1/22/2018
3.20.1 1,857 1/13/2018
3.20.0 53,447 7/15/2017
3.20.0-beta01 1,139 5/31/2017
3.19.0 8,315 4/29/2017
3.18.0 15,479 4/9/2017
3.17.0 11,122 1/15/2017
3.16.0 2,085 1/3/2017
3.15.0 1,661 12/27/2016
3.14.0-beta03 1,170 11/20/2016
3.14.0-beta02 1,122 11/15/2016
3.14.0-beta01 1,154 10/30/2016
3.13.1 72,715 9/6/2016
3.13.0 1,909 8/18/2016
3.12.0 8,650 7/3/2016
3.11.1 14,910 4/24/2016
3.11.0 8,931 2/13/2016
3.10.0 11,498 12/30/2015
3.9.0 4,505 11/25/2015
3.8.0 53,780 9/26/2015
3.7.1 4,479 9/21/2015
3.7.0 17,277 5/9/2015
3.6.0 12,226 3/22/2015
3.5.0 7,890 1/10/2015
3.4.0 2,294 1/4/2015
3.3.0 3,375 11/26/2014
3.3.0-beta2 1,267 10/25/2014
3.3.0-beta1 1,328 9/28/2014
3.2.3 25,988 9/6/2014
3.2.2 1,686 9/5/2014
3.2.1 2,117 8/5/2014
3.2.0 1,659 8/5/2014
3.1.0 4,374 7/20/2014
3.0.2 2,133 6/26/2014
3.0.1 1,741 6/24/2014
3.0.0 11,172 6/21/2014
3.0.0-beta05 1,369 6/20/2014
3.0.0-beta04 1,325 6/15/2014
3.0.0-beta03 1,323 6/5/2014
3.0.0-beta02 1,298 5/29/2014
3.0.0-beta01 4,132 4/14/2014
3.0.0-alpha9 1,388 3/29/2014
3.0.0-alpha8 1,358 2/26/2014
3.0.0-alpha7 7,873 12/30/2013
3.0.0-alpha6 1,488 12/2/2013
3.0.0-alpha5 4,104 10/2/2013
3.0.0-alpha4 1,406 9/22/2013
3.0.0-alpha1 1,339 9/1/2013
2.6.0 14,332 7/26/2013
2.5.0 2,429 4/14/2013
2.4.0 2,110 2/3/2013
2.3.0 2,206 11/25/2012
2.2.1 2,128 8/29/2012
2.2.0 1,926 8/27/2012
2.1.2 6,921 10/9/2011
2.1.1 2,114 10/3/2011
2.1.0.19 2,720 10/3/2011

2nd Candidate for v3.0 Release
Distance: fix bug in Hamming distance that skipped the first pair.
F#: packages now include a MathNet.Numerics.fsx script that includes FSI printers and references the assemblies.
Linear Algebra: improved matrix and vector ToString formatting, more compact, adaptive to actual numbers.
Linear Algebra: CoerceZero for matrix and vector to replace small numbers with zero.
Regression: DirectRegressionMethod option to specify as argument which direct method should be used.
Control: drop MaxToStringRows/Columns properties (no longer used)
Random: clarify bad randomness properties of SystemRandomSource.FastDoubles (trade off)