MathNet.Numerics 3.17.0

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There is a newer version of this package available.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 3.17.0
                    


                    

                
NuGet\Install-Package MathNet.Numerics -Version 3.17.0
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="3.17.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="MathNet.Numerics" Version="3.17.0" />
                    


                            Directory.Packages.props
                        

                    

                
<PackageReference Include="MathNet.Numerics" />
                    


                            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 --version 3.17.0
                    


                    

                
#r "nuget: MathNet.Numerics, 3.17.0"
#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&version=3.17.0
                    


                            Install MathNet.Numerics as a Cake Addin
                        

                    

                
#tool nuget:?package=MathNet.Numerics&version=3.17.0
                    


                            Install MathNet.Numerics 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 .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 (395)

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.
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.Common

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

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

GitHub repositories (74)

Showing the top 20 popular GitHub repositories that depend on MathNet.Numerics:

Repository Stars
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akkadotnet/akka.net
Canonical actor model implementation for .NET with local + distributed actors in C# and F#.
mathnet/mathnet-numerics
Math.NET Numerics
betalgo/openai
.NET library for the OpenAI service API by Betalgo Ranul
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A collection of challenge based hack-a-thons including student guide, coach guide, lecture presentations, sample/instructional code and templates. Please visit the What The Hack website at: https://aka.ms/wth
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Maassoft/ColorControl
Easily change NVIDIA display settings and/or control LG TV's
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Wouterdek/NodeNetwork
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Azure/azure-cosmos-dotnet-v3
.NET SDK for Azure Cosmos DB for the core SQL API
microsoft/RoomAliveToolkit
hanabi1224/Programming-Language-Benchmarks
Yet another implementation of computer language benchmarks game
Taiizor/Sucrose
Sucrose is a versatile wallpaper engine that brings life to your desktop with a wide range of interactive wallpapers.
PieroCastillo/Aura.UI
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Version Downloads Last updated
6.0.0-beta2 3,969 a month ago
6.0.0-beta1 125,076 12/17/2023
5.0.0 16,021,861 4/3/2022
5.0.0-beta02 2,523 4/3/2022
5.0.0-beta01 31,896 3/6/2022
5.0.0-alpha16 4,093 2/27/2022
5.0.0-alpha15 3,025 2/27/2022
5.0.0-alpha14 2,167 2/27/2022
5.0.0-alpha13 2,059 2/27/2022
5.0.0-alpha12 2,033 2/27/2022
5.0.0-alpha11 2,280 2/27/2022
5.0.0-alpha10 31,450 2/19/2022
5.0.0-alpha09 2,744 2/13/2022
5.0.0-alpha08 26,947 12/23/2021
5.0.0-alpha07 7,906 12/19/2021
5.0.0-alpha06 2,108 12/19/2021
5.0.0-alpha05 2,149 12/19/2021
5.0.0-alpha04 2,034 12/19/2021
5.0.0-alpha03 10,959 12/5/2021
5.0.0-alpha02 82,017 7/11/2021
5.0.0-alpha01 11,857 6/27/2021
4.15.0 9,045,489 1/7/2021
4.14.0 87,222 1/1/2021
4.13.0 14,315 12/30/2020
4.12.0 1,894,397 8/2/2020
4.11.0 1,456,369 5/24/2020
4.10.0 6,288 5/24/2020
4.9.1 1,932,085 4/12/2020
4.9.0 2,078,658 10/13/2019
4.8.1 1,476,961 6/11/2019
4.8.0 153,022 6/2/2019
4.8.0-beta02 3,117 5/30/2019
4.8.0-beta01 6,085 4/28/2019
4.7.0 2,223,791 11/11/2018
4.6.0 219,863 10/19/2018
4.5.1 1,577,864 5/22/2018
4.5.0 17,724 5/22/2018
4.4.1 155,201 5/6/2018
4.4.0 438,555 2/25/2018
4.3.0 7,742 2/24/2018
4.2.0 12,221 2/21/2018
4.1.0 12,934 2/19/2018
4.0.0 168,198 2/11/2018
4.0.0-beta07 3,641 2/10/2018
4.0.0-beta06 4,140 2/3/2018
4.0.0-beta05 4,288 1/22/2018
4.0.0-beta04 4,254 1/13/2018
4.0.0-beta03 5,028 1/9/2018
4.0.0-beta02 3,854 1/7/2018
4.0.0-beta01 3,274 1/7/2018
4.0.0-alpha04 3,183 1/5/2018
4.0.0-alpha03 12,717 12/26/2017
4.0.0-alpha02 5,460 11/30/2017
4.0.0-alpha01 4,925 11/26/2017
3.20.2 386,749 1/22/2018
3.20.1 25,452 1/13/2018
3.20.0 676,577 7/15/2017
3.20.0-beta01 13,459 5/31/2017
3.19.0 926,851 4/29/2017
3.18.0 100,517 4/9/2017
3.17.0 377,813 1/15/2017
3.16.0 50,441 1/3/2017
3.15.0 14,132 12/27/2016
3.14.0-beta03 3,751 11/20/2016
3.14.0-beta02 3,377 11/15/2016
3.14.0-beta01 3,862 10/30/2016
3.13.1 341,034 9/6/2016
3.13.0 46,881 8/18/2016
3.12.0 113,949 7/3/2016
3.11.1 144,598 4/24/2016
3.11.0 101,764 2/13/2016
3.10.0 88,218 12/30/2015
3.9.0 67,083 11/25/2015
3.8.0 251,475 9/26/2015
3.7.1 16,247 9/21/2015
3.7.0 154,469 5/9/2015
3.6.0 39,253 3/22/2015
3.5.0 75,792 1/10/2015
3.4.0 27,617 1/4/2015
3.3.0 17,242 11/26/2014
3.3.0-beta2 3,371 10/25/2014
3.3.0-beta1 25,798 9/28/2014
3.2.3 57,485 9/6/2014
3.2.2 3,764 9/5/2014
3.2.1 9,025 8/5/2014
3.2.0 4,507 8/5/2014
3.1.0 8,282 7/20/2014
3.0.2 18,711 6/26/2014
3.0.1 4,015 6/24/2014
3.0.0 22,742 6/21/2014
3.0.0-beta05 3,227 6/20/2014
3.0.0-beta04 3,212 6/15/2014
3.0.0-beta03 3,509 6/5/2014
3.0.0-beta02 3,183 5/29/2014
3.0.0-beta01 6,543 4/14/2014
3.0.0-alpha9 3,583 3/29/2014
3.0.0-alpha8 3,644 2/26/2014
3.0.0-alpha7 10,193 12/30/2013
3.0.0-alpha6 3,606 12/2/2013
3.0.0-alpha5 6,638 10/2/2013
3.0.0-alpha4 3,580 9/22/2013
3.0.0-alpha1 3,551 9/1/2013
2.6.2 87,714 10/21/2013
2.6.1 31,813 8/13/2013
2.6.0 6,858 7/26/2013
2.5.0 128,870 4/14/2013
2.4.0 15,760 2/3/2013
2.3.0 8,245 11/25/2012
2.2.1 10,381 8/29/2012
2.2.0 4,258 8/27/2012
2.1.2 39,181 10/9/2011
2.1.1 9,480 10/3/2011

Random: random sources (all except crypto) now support ephemeral serialization.
Linear Algebra: explicit impl to copy a range of a row of a sparse matrix to a range of a sparse vector ~arthurvb
Linear Algebra: explicitly demand fully modifiable matrix where needed, fixes issues with diagonal matrices.
FFT: leverage new matrix internal array access approach in 2D matrix transformations.