MathNet.Numerics.FSharp 3.0.0-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There is a newer version of this package available.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 3.0.0-beta02
                    
NuGet\Install-Package MathNet.Numerics.FSharp -Version 3.0.0-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="3.0.0-beta02" />
                    
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-beta02" />
                    
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-beta02
                    
#r "nuget: MathNet.Numerics.FSharp, 3.0.0-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.
#:package MathNet.Numerics.FSharp@3.0.0-beta02
                    
#: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-beta02&prerelease
                    
Install as a Cake Addin
#tool nuget:?package=MathNet.Numerics.FSharp&version=3.0.0-beta02&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 (40)

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.

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.

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.

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
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
Version Downloads Last Updated
6.0.0-beta2 1,141 3/2/2025
6.0.0-beta1 52,151 12/17/2023
5.0.0 1,581,557 4/3/2022
5.0.0-beta02 388 4/3/2022
5.0.0-beta01 22,187 3/6/2022
5.0.0-alpha16 378 2/27/2022
5.0.0-alpha15 371 2/27/2022
5.0.0-alpha14 355 2/27/2022
5.0.0-alpha13 350 2/27/2022
5.0.0-alpha12 367 2/27/2022
5.0.0-alpha11 361 2/27/2022
5.0.0-alpha10 396 2/19/2022
5.0.0-alpha09 361 2/13/2022
5.0.0-alpha08 441 12/23/2021
5.0.0-alpha07 380 12/19/2021
5.0.0-alpha06 381 12/19/2021
5.0.0-alpha05 396 12/19/2021
5.0.0-alpha04 400 12/19/2021
5.0.0-alpha03 396 12/5/2021
5.0.0-alpha02 614 7/11/2021
5.0.0-alpha01 526 6/27/2021
4.15.0 665,958 1/7/2021
4.14.0 4,282 1/1/2021
4.13.0 3,170 12/30/2020
4.12.0 41,792 8/2/2020
4.11.0 140,161 5/24/2020
4.10.0 3,267 5/24/2020
4.9.1 24,536 4/12/2020
4.9.0 78,108 10/13/2019
4.8.1 225,980 6/11/2019
4.8.0 5,034 6/2/2019
4.8.0-beta02 716 5/30/2019
4.8.0-beta01 780 4/28/2019
4.7.0 150,408 11/11/2018
4.6.0 6,294 10/19/2018
4.5.1 37,441 5/22/2018
4.5.0 4,157 5/22/2018
4.4.1 4,632 5/6/2018
4.4.0 16,715 2/25/2018
4.3.0 4,133 2/24/2018
4.2.0 5,523 2/21/2018
4.1.0 5,116 2/19/2018
4.0.0 9,053 2/11/2018
4.0.0-beta07 1,460 2/10/2018
4.0.0-beta06 1,482 2/3/2018
4.0.0-beta05 1,482 1/22/2018
4.0.0-beta04 1,462 1/13/2018
4.0.0-beta03 1,448 1/9/2018
4.0.0-beta02 1,567 1/7/2018
4.0.0-beta01 1,420 1/7/2018
4.0.0-alpha04 1,406 1/5/2018
4.0.0-alpha03 1,407 12/26/2017
4.0.0-alpha02 1,260 11/30/2017
4.0.0-alpha01 1,267 11/26/2017
3.20.2 15,972 1/22/2018
3.20.1 4,352 1/13/2018
3.20.0 56,697 7/15/2017
3.20.0-beta01 1,282 5/31/2017
3.19.0 10,858 4/29/2017
3.18.0 17,939 4/9/2017
3.17.0 13,606 1/15/2017
3.16.0 4,551 1/3/2017
3.15.0 4,120 12/27/2016
3.14.0-beta03 1,313 11/20/2016
3.14.0-beta02 1,265 11/15/2016
3.14.0-beta01 1,298 10/30/2016
3.13.1 75,329 9/6/2016
3.13.0 4,368 8/18/2016
3.12.0 11,254 7/3/2016
3.11.1 17,776 4/24/2016
3.11.0 11,512 2/13/2016
3.10.0 14,188 12/30/2015
3.9.0 7,014 11/25/2015
3.8.0 58,216 9/26/2015
3.7.1 6,937 9/21/2015
3.7.0 20,027 5/9/2015
3.6.0 14,982 3/22/2015
3.5.0 10,531 1/10/2015
3.4.0 4,767 1/4/2015
3.3.0 5,867 11/26/2014
3.3.0-beta2 1,418 10/25/2014
3.3.0-beta1 1,483 9/28/2014
3.2.3 28,514 9/6/2014
3.2.2 4,146 9/5/2014
3.2.1 4,621 8/5/2014
3.2.0 4,120 8/5/2014
3.1.0 6,841 7/20/2014
3.0.2 4,594 6/26/2014
3.0.1 4,204 6/24/2014
3.0.0 13,909 6/21/2014
3.0.0-beta05 1,529 6/20/2014
3.0.0-beta04 1,477 6/15/2014
3.0.0-beta03 1,468 6/5/2014
3.0.0-beta02 1,451 5/29/2014
3.0.0-beta01 4,353 4/14/2014
3.0.0-alpha9 1,538 3/29/2014
3.0.0-alpha8 1,507 2/26/2014
3.0.0-alpha7 8,156 12/30/2013
3.0.0-alpha6 1,639 12/2/2013
3.0.0-alpha5 4,313 10/2/2013
3.0.0-alpha4 1,563 9/22/2013
3.0.0-alpha1 1,491 9/1/2013
2.6.0 16,837 7/26/2013
2.5.0 4,900 4/14/2013
2.4.0 4,584 2/3/2013
2.3.0 4,703 11/25/2012
2.2.1 4,601 8/29/2012
2.2.0 4,408 8/27/2012
2.1.2 9,452 10/9/2011
2.1.1 4,599 10/3/2011
2.1.0.19 5,262 10/3/2011

Linear Algebra:
optimized sparse-sparse and sparse-diagonal matrix products. ~Christian Woltering
transpose at storage level, optimized sparse transpose. ~Christian Woltering
optimized inplace-map, indexed submatrix-map.
optimized clearing a set of rows or columns.
matrix FoldRows/FoldColumns.
matrix column/row norms, normalization.
prefer enums over boolean parameters (e.g. Zeros.AllowSkip).
IsSymmetric is now a method, add IsConjugateSymmetric. breaking
Eigenvalue decomposition can optionally skip symmetry test.
Direct diagonal-scalar division implementation
Test Functions: Rosenbrock, Rastrigin, DropWave, Ackley, Bohachevsky, Matyas, SixHumpCamel, Himmelblau
Statistics: DescriptiveStatistics support for larger datasets.
MKL: native providers must not require MFC to compile.
Sorting helpers support sub-range sorting, use insertion sort on very small sets.
Build: extend usage of FAKE, automate docs, api, Zip and NuGet package generation.
Portable: replace PCL profile 136 with profile 344, support for WP8.1
Xamarin: prepare for better Xamarin Android/iOS support and for adding to the Xamarin store (free).
Misc code style fixes.
Update Vagrant setup to official Ubuntu 14.04 LTS box and proper apt-style Mono+F# provisioning.