MathNet.Numerics.FSharp 2.6.0

Prefix Reserved
.NET Framework 4.0 This package targets .NET Framework 4.0. The package is compatible with this framework or higher.
There is a newer version of this package available.
See the version list below for details. 
dotnet add package MathNet.Numerics.FSharp --version 2.6.0
                    


                    

                
NuGet\Install-Package MathNet.Numerics.FSharp -Version 2.6.0
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="2.6.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="MathNet.Numerics.FSharp" Version="2.6.0" />
                    


                            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 2.6.0
                    


                    

                
#r "nuget: MathNet.Numerics.FSharp, 2.6.0"
#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. 
#addin nuget:?package=MathNet.Numerics.FSharp&version=2.6.0
                    


                            Install MathNet.Numerics.FSharp as a Cake Addin
                        

                    

                
#tool nuget:?package=MathNet.Numerics.FSharp&version=2.6.0
                    


                            Install MathNet.Numerics.FSharp as a Cake Tool

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. Also includes a portable build supporting .Net 4.5, SL5 and .NET for Windows Store apps.

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 (38)

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 (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).
mathnet/mathnet-numerics
Math.NET Numerics
NethermindEth/nethermind
A robust execution client for Ethereum node operators.
Version Downloads Last updated
6.0.0-beta2 187 3/2/2025
6.0.0-beta1 28,049 12/17/2023
5.0.0 1,004,340 4/3/2022
5.0.0-beta02 221 4/3/2022
5.0.0-beta01 20,574 3/6/2022
5.0.0-alpha16 224 2/27/2022
5.0.0-alpha15 226 2/27/2022
5.0.0-alpha14 212 2/27/2022
5.0.0-alpha13 206 2/27/2022
5.0.0-alpha12 213 2/27/2022
5.0.0-alpha11 205 2/27/2022
5.0.0-alpha10 223 2/19/2022
5.0.0-alpha09 215 2/13/2022
5.0.0-alpha08 288 12/23/2021
5.0.0-alpha07 222 12/19/2021
5.0.0-alpha06 229 12/19/2021
5.0.0-alpha05 242 12/19/2021
5.0.0-alpha04 243 12/19/2021
5.0.0-alpha03 255 12/5/2021
5.0.0-alpha02 442 7/11/2021
5.0.0-alpha01 375 6/27/2021
4.15.0 562,313 1/7/2021
4.14.0 1,729 1/1/2021
4.13.0 638 12/30/2020
4.12.0 37,752 8/2/2020
4.11.0 130,344 5/24/2020
4.10.0 716 5/24/2020
4.9.1 20,717 4/12/2020
4.9.0 75,111 10/13/2019
4.8.1 196,859 6/11/2019
4.8.0 2,480 6/2/2019
4.8.0-beta02 551 5/30/2019
4.8.0-beta01 602 4/28/2019
4.7.0 137,295 11/11/2018
4.6.0 3,711 10/19/2018
4.5.1 33,903 5/22/2018
4.5.0 1,393 5/22/2018
4.4.1 1,843 5/6/2018
4.4.0 13,944 2/25/2018
4.3.0 1,360 2/24/2018
4.2.0 2,676 2/21/2018
4.1.0 2,278 2/19/2018
4.0.0 6,135 2/11/2018
4.0.0-beta07 1,062 2/10/2018
4.0.0-beta06 1,085 2/3/2018
4.0.0-beta05 1,089 1/22/2018
4.0.0-beta04 1,075 1/13/2018
4.0.0-beta03 1,047 1/9/2018
4.0.0-beta02 1,175 1/7/2018
4.0.0-beta01 1,028 1/7/2018
4.0.0-alpha04 1,010 1/5/2018
4.0.0-alpha03 1,008 12/26/2017
4.0.0-alpha02 976 11/30/2017
4.0.0-alpha01 972 11/26/2017
3.20.2 12,821 1/22/2018
3.20.1 1,595 1/13/2018
3.20.0 52,607 7/15/2017
3.20.0-beta01 994 5/31/2017
3.19.0 8,114 4/29/2017
3.18.0 15,272 4/9/2017
3.17.0 10,907 1/15/2017
3.16.0 1,876 1/3/2017
3.15.0 1,455 12/27/2016
3.14.0-beta03 1,024 11/20/2016
3.14.0-beta02 969 11/15/2016
3.14.0-beta01 1,007 10/30/2016
3.13.1 72,503 9/6/2016
3.13.0 1,704 8/18/2016
3.12.0 8,445 7/3/2016
3.11.1 14,703 4/24/2016
3.11.0 8,652 2/13/2016
3.10.0 11,281 12/30/2015
3.9.0 4,301 11/25/2015
3.8.0 52,725 9/26/2015
3.7.1 4,264 9/21/2015
3.7.0 17,067 5/9/2015
3.6.0 12,013 3/22/2015
3.5.0 7,655 1/10/2015
3.4.0 2,079 1/4/2015
3.3.0 3,157 11/26/2014
3.3.0-beta2 1,118 10/25/2014
3.3.0-beta1 1,157 9/28/2014
3.2.3 25,759 9/6/2014
3.2.2 1,477 9/5/2014
3.2.1 1,905 8/5/2014
3.2.0 1,451 8/5/2014
3.1.0 4,167 7/20/2014
3.0.2 1,917 6/26/2014
3.0.1 1,528 6/24/2014
3.0.0 10,961 6/21/2014
3.0.0-beta05 1,208 6/20/2014
3.0.0-beta04 1,165 6/15/2014
3.0.0-beta03 1,172 6/5/2014
3.0.0-beta02 1,144 5/29/2014
3.0.0-beta01 3,978 4/14/2014
3.0.0-alpha9 1,234 3/29/2014
3.0.0-alpha8 1,200 2/26/2014
3.0.0-alpha7 7,716 12/30/2013
3.0.0-alpha6 1,330 12/2/2013
3.0.0-alpha5 3,943 10/2/2013
3.0.0-alpha4 1,250 9/22/2013
3.0.0-alpha1 1,179 9/1/2013
2.6.0 14,090 7/26/2013
2.5.0 2,207 4/14/2013
2.4.0 1,891 2/3/2013
2.3.0 1,988 11/25/2012
2.2.1 1,910 8/29/2012
2.2.0 1,706 8/27/2012
2.1.2 6,681 10/9/2011
2.1.1 1,890 10/3/2011
2.1.0.19 2,478 10/3/2011

### New: Linear Curve Fitting

- Linear least-squares fitting (regression) to lines, polynomials and linear combinations of arbitrary functions.
- Multi-dimensional fitting.
- Also works well in F# with the F# extensions.

### New: Root Finding

- Brent's method.
- Bisection method.
- Broyden's method, for multi-dimensional functions.
- Newton-Raphson method.
- Robust Newton-Raphson variant that tries to recover automatically in cases where it would fail or converge too slowly. This modification makes it more robust e.g. in the presence of singularities and less sensitive to the search range/interval.
- All algorithms support a TryFind-pattern which returns success instead of throwing an exception.
- Special case for quadratic functions, in the future to be extended e.g. to polynomials.
- Basic bracketing algorithm
- Also works well in F# with the F# extensions.

### Linear Algebra

- Native eigenvalue decomposition (EVD) support with our MKL packages
- Add missing scalar-vector operations (s-v, s/v, s%v)
- Support for new F# 3.1 row/column slicing syntax on matrices
- Matrices learned proper OfColumn/RowVectors, analog also in F#.
- Documentation Fixes
- BUG: Fixed exception text message when creating a matrix from enumerables (rows vs columns)
- We're phasing out MathNet.Numerics.IO that used to be included in the main package for matrix file I/O for text and Matlab formats. Use the new .Data.Text and .Data.Matlab packages instead.

### Statistics & Distributions

- Spearman Rank Correlation Coefficient
- Covariance function, in Array-, Streaming- and common Statistics.
- Categorical: distribution more consistent, no longer requires normalized pdf/cdf parameters
- Categorical: inverse CDF function
- BUG: Fixed static sampling methods of the `Stable` distribution.

### Misc

- BUG: Fixed a bug in the Gamma Regularized special function where in some cases with large values it returned 1 instead of 0 and vice versa.
- The F# extensions now have a strong name in (and only in) the signed package as well (previously had not been signed).
- Evaluate.Polynomial with new overload which is easier to use.
- Fixed a couple badly designed unit tests that failed on Mono.
- Repository now Vagrant-ready for easy testing against recent Mono on Debian.