MathNet.Numerics 2.6.0

Prefix Reserved
There is a newer version of this package available.
See the version list below for details.
dotnet add package MathNet.Numerics --version 2.6.0                
NuGet\Install-Package MathNet.Numerics -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" Version="2.6.0" />                
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add MathNet.Numerics --version 2.6.0                
#r "nuget: MathNet.Numerics, 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.
// Install MathNet.Numerics as a Cake Addin
#addin nuget:?package=MathNet.Numerics&version=2.6.0

// Install MathNet.Numerics as a Cake Tool
#tool nuget:?package=MathNet.Numerics&version=2.6.0                

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. 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 and higher, SL5, WP8 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.

This package has no dependencies.

NuGet packages (386)

Showing the top 5 NuGet packages that depend on MathNet.Numerics:

Package Downloads
MathNet.Numerics.FSharp

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.

MathNet.Spatial

Math.NET Spatial, providing methods and algorithms for geometry computations in science, engineering and every day use. Supports .Net Framework 4.6.1 or higher and .Net Standard 2.0 or higher on Windows, Linux and Mac.

QuantConnect.Common

QuantConnect LEAN Engine: Common Project - A collection of common definitions and utils

MathNet.Filtering

Math.NET Filtering, providing methods and algorithms for signal processing and filtering in science, engineering and every day use. Supports .Net Framework 4.0 or higher and .Net Standard 1.3 or higher, on Windows, Linux and Mac.

QuantConnect.Indicators

QuantConnect LEAN Engine: Indicators Project - A collection of financial indicators

GitHub repositories (68)

Showing the top 5 popular GitHub repositories that depend on MathNet.Numerics:

Repository Stars
rocksdanister/lively
Free and open-source software that allows users to set animated desktop wallpapers and screensavers powered by WinUI 3.
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Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
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Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
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Distributed Application Framework for .NET
mathnet/mathnet-numerics
Math.NET Numerics
Version Downloads Last updated
6.0.0-beta1 63,152 12/17/2023
5.0.0 12,264,818 4/3/2022
5.0.0-beta02 2,372 4/3/2022
5.0.0-beta01 29,344 3/6/2022
5.0.0-alpha16 3,957 2/27/2022
5.0.0-alpha15 2,898 2/27/2022
5.0.0-alpha14 2,063 2/27/2022
5.0.0-alpha13 1,937 2/27/2022
5.0.0-alpha12 1,927 2/27/2022
5.0.0-alpha11 2,155 2/27/2022
5.0.0-alpha10 28,088 2/19/2022
5.0.0-alpha09 2,638 2/13/2022
5.0.0-alpha08 26,793 12/23/2021
5.0.0-alpha07 7,790 12/19/2021
5.0.0-alpha06 2,004 12/19/2021
5.0.0-alpha05 2,023 12/19/2021
5.0.0-alpha04 1,914 12/19/2021
5.0.0-alpha03 9,440 12/5/2021
5.0.0-alpha02 81,657 7/11/2021
5.0.0-alpha01 11,816 6/27/2021
4.15.0 8,446,567 1/7/2021
4.14.0 79,109 1/1/2021
4.13.0 13,265 12/30/2020
4.12.0 1,834,833 8/2/2020
4.11.0 1,399,130 5/24/2020
4.10.0 5,652 5/24/2020
4.9.1 1,642,329 4/12/2020
4.9.0 2,017,761 10/13/2019
4.8.1 1,417,905 6/11/2019
4.8.0 140,317 6/2/2019
4.8.0-beta02 3,076 5/30/2019
4.8.0-beta01 6,028 4/28/2019
4.7.0 2,118,296 11/11/2018
4.6.0 214,464 10/19/2018
4.5.1 1,512,978 5/22/2018
4.5.0 16,588 5/22/2018
4.4.1 153,079 5/6/2018
4.4.0 422,559 2/25/2018
4.3.0 7,019 2/24/2018
4.2.0 11,509 2/21/2018
4.1.0 11,452 2/19/2018
4.0.0 160,162 2/11/2018
4.0.0-beta07 3,496 2/10/2018
4.0.0-beta06 3,994 2/3/2018
4.0.0-beta05 4,198 1/22/2018
4.0.0-beta04 4,164 1/13/2018
4.0.0-beta03 4,895 1/9/2018
4.0.0-beta02 3,697 1/7/2018
4.0.0-beta01 3,141 1/7/2018
4.0.0-alpha04 3,039 1/5/2018
4.0.0-alpha03 11,325 12/26/2017
4.0.0-alpha02 5,356 11/30/2017
4.0.0-alpha01 4,831 11/26/2017
3.20.2 381,494 1/22/2018
3.20.1 25,159 1/13/2018
3.20.0 657,328 7/15/2017
3.20.0-beta01 13,248 5/31/2017
3.19.0 922,790 4/29/2017
3.18.0 97,635 4/9/2017
3.17.0 366,364 1/15/2017
3.16.0 47,348 1/3/2017
3.15.0 13,959 12/27/2016
3.14.0-beta03 3,655 11/20/2016
3.14.0-beta02 3,276 11/15/2016
3.14.0-beta01 3,763 10/30/2016
3.13.1 335,655 9/6/2016
3.13.0 41,708 8/18/2016
3.12.0 107,664 7/3/2016
3.11.1 141,770 4/24/2016
3.11.0 95,953 2/13/2016
3.10.0 87,425 12/30/2015
3.9.0 65,789 11/25/2015
3.8.0 244,676 9/26/2015
3.7.1 16,110 9/21/2015
3.7.0 150,432 5/9/2015
3.6.0 38,588 3/22/2015
3.5.0 74,226 1/10/2015
3.4.0 27,003 1/4/2015
3.3.0 16,740 11/26/2014
3.3.0-beta2 3,236 10/25/2014
3.3.0-beta1 25,306 9/28/2014
3.2.3 57,204 9/6/2014
3.2.2 3,634 9/5/2014
3.2.1 8,737 8/5/2014
3.2.0 4,284 8/5/2014
3.1.0 8,087 7/20/2014
3.0.2 18,508 6/26/2014
3.0.1 3,881 6/24/2014
3.0.0 22,452 6/21/2014
3.0.0-beta05 3,078 6/20/2014
3.0.0-beta04 3,084 6/15/2014
3.0.0-beta03 3,361 6/5/2014
3.0.0-beta02 3,080 5/29/2014
3.0.0-beta01 6,416 4/14/2014
3.0.0-alpha9 3,464 3/29/2014
3.0.0-alpha8 3,535 2/26/2014
3.0.0-alpha7 10,047 12/30/2013
3.0.0-alpha6 3,487 12/2/2013
3.0.0-alpha5 6,519 10/2/2013
3.0.0-alpha4 3,448 9/22/2013
3.0.0-alpha1 3,409 9/1/2013
2.6.2 85,390 10/21/2013
2.6.1 30,623 8/13/2013
2.6.0 6,702 7/26/2013
2.5.0 127,504 4/14/2013
2.4.0 15,502 2/3/2013
2.3.0 8,094 11/25/2012
2.2.1 9,902 8/29/2012
2.2.0 4,116 8/27/2012
2.1.2 36,310 10/9/2011
2.1.1 9,247 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.