MathNet.Numerics 3.5.0

Prefix Reserved
.NET Framework 3.5 This package targets .NET Framework 3.5. 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There is a newer version of this package available.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 --version 3.5.0                

                    
                

            
NuGet\Install-Package MathNet.Numerics -Version 3.5.0
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="3.5.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add MathNet.Numerics --version 3.5.0                

                    
                

            
#r "nuget: MathNet.Numerics, 3.5.0"
#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=3.5.0

// Install MathNet.Numerics as a Cake Tool
#tool nuget:?package=MathNet.Numerics&version=3.5.0

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. Supports .Net 4.0, .Net 3.5 and Mono on Windows, Linux and Mac; Silverlight 5, WindowsPhone/SL 8, WindowsPhone 8.1 and Windows 8 with PCL portable profiles 7, 47, 78, 259 and 328; Android/iOS with Xamarin.

Product Compatible and additional computed target framework versions.
.NET Framework net35 is compatible.  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 (383)

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.
QuantConnect/Lean
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
StockSharp/StockSharp
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
MassTransit/MassTransit
Distributed Application Framework for .NET
mathnet/mathnet-numerics
Math.NET Numerics
Version Downloads Last updated
6.0.0-beta1 62,222 12/17/2023
5.0.0 12,210,237 4/3/2022
5.0.0-beta02 2,371 4/3/2022
5.0.0-beta01 29,337 3/6/2022
5.0.0-alpha16 3,956 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 28,084 2/19/2022
5.0.0-alpha09 2,638 2/13/2022
5.0.0-alpha08 26,788 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 9,414 12/5/2021
5.0.0-alpha02 81,650 7/11/2021
5.0.0-alpha01 11,813 6/27/2021
4.15.0 8,435,801 1/7/2021
4.14.0 79,038 1/1/2021
4.13.0 13,260 12/30/2020
4.12.0 1,833,990 8/2/2020
4.11.0 1,398,173 5/24/2020
4.10.0 5,646 5/24/2020
4.9.1 1,638,028 4/12/2020
4.9.0 2,016,895 10/13/2019
4.8.1 1,417,003 6/11/2019
4.8.0 140,271 6/2/2019
4.8.0-beta02 3,076 5/30/2019
4.8.0-beta01 6,028 4/28/2019
4.7.0 2,116,956 11/11/2018
4.6.0 214,359 10/19/2018
4.5.1 1,512,125 5/22/2018
4.5.0 16,584 5/22/2018
4.4.1 153,069 5/6/2018
4.4.0 422,366 2/25/2018
4.3.0 7,015 2/24/2018
4.2.0 11,509 2/21/2018
4.1.0 11,445 2/19/2018
4.0.0 160,039 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 4,892 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 11,298 12/26/2017
4.0.0-alpha02 5,356 11/30/2017
4.0.0-alpha01 4,831 11/26/2017
3.20.2 381,396 1/22/2018
3.20.1 25,157 1/13/2018
3.20.0 657,005 7/15/2017
3.20.0-beta01 13,246 5/31/2017
3.19.0 922,736 4/29/2017
3.18.0 97,591 4/9/2017
3.17.0 366,152 1/15/2017
3.16.0 47,288 1/3/2017
3.15.0 13,956 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
3.13.1 335,530 9/6/2016
3.13.0 41,693 8/18/2016
3.12.0 107,603 7/3/2016
3.11.1 141,712 4/24/2016
3.11.0 95,906 2/13/2016
3.10.0 87,407 12/30/2015
3.9.0 65,778 11/25/2015
3.8.0 244,582 9/26/2015
3.7.1 16,108 9/21/2015
3.7.0 150,335 5/9/2015
3.6.0 38,577 3/22/2015
3.5.0 74,173 1/10/2015
3.4.0 26,990 1/4/2015
3.3.0 16,727 11/26/2014
3.3.0-beta2 3,234 10/25/2014
3.3.0-beta1 25,301 9/28/2014
3.2.3 57,191 9/6/2014
3.2.2 3,632 9/5/2014
3.2.1 8,735 8/5/2014
3.2.0 4,282 8/5/2014
3.1.0 8,083 7/20/2014
3.0.2 18,501 6/26/2014
3.0.1 3,879 6/24/2014
3.0.0 22,447 6/21/2014
3.0.0-beta05 3,075 6/20/2014
3.0.0-beta04 3,082 6/15/2014
3.0.0-beta03 3,359 6/5/2014
3.0.0-beta02 3,080 5/29/2014
3.0.0-beta01 6,414 4/14/2014
3.0.0-alpha9 3,460 3/29/2014
3.0.0-alpha8 3,533 2/26/2014
3.0.0-alpha7 10,045 12/30/2013
3.0.0-alpha6 3,483 12/2/2013
3.0.0-alpha5 6,515 10/2/2013
3.0.0-alpha4 3,446 9/22/2013
3.0.0-alpha1 3,407 9/1/2013
2.6.2 85,331 10/21/2013
2.6.1 30,611 8/13/2013
2.6.0 6,700 7/26/2013
2.5.0 127,493 4/14/2013
2.4.0 15,491 2/3/2013
2.3.0 8,094 11/25/2012
2.2.1 9,892 8/29/2012
2.2.0 4,116 8/27/2012
2.1.2 36,301 10/9/2011
2.1.1 9,247 10/3/2011

Differentiation: derivative, partial and mixed partial; hessian & jacobian ~Hythem Sidky
Differentiation: Differentiate facade class for simple use cases
Differentiation: F# module for better F# function support.
Linear Algebra: matrix ToRowArrays/ToColumnArrays
Linear Algebra: F# insertRow, appendRow, prependRow and same also for columns
Linear Algebra: F# append, stack and ofMatrixList2
Precision: measured machine epsilon, positive vs negative epsilon