MathNet.Numerics.FSharp.Signed 3.16.0

Prefix Reserved
There is a newer version of this package available.
See the version list below for details.
dotnet add package MathNet.Numerics.FSharp.Signed --version 3.16.0                
NuGet\Install-Package MathNet.Numerics.FSharp.Signed -Version 3.16.0                
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.Signed" Version="3.16.0" />                
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add MathNet.Numerics.FSharp.Signed --version 3.16.0                
#r "nuget: MathNet.Numerics.FSharp.Signed, 3.16.0"                
#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.FSharp.Signed as a Cake Addin
#addin nuget:?package=MathNet.Numerics.FSharp.Signed&version=3.16.0

// Install MathNet.Numerics.FSharp.Signed as a Cake Tool
#tool nuget:?package=MathNet.Numerics.FSharp.Signed&version=3.16.0                

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.

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

This package is not used by any NuGet packages.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
5.0.0 1,632 4/3/2022
5.0.0-beta02 184 4/3/2022
5.0.0-beta01 171 3/6/2022
5.0.0-alpha16 178 2/27/2022
5.0.0-alpha15 188 2/27/2022
5.0.0-alpha14 187 2/27/2022
5.0.0-alpha11 184 2/27/2022
5.0.0-alpha10 174 2/19/2022
5.0.0-alpha09 178 2/13/2022
5.0.0-alpha08 191 12/23/2021
5.0.0-alpha07 175 12/19/2021
5.0.0-alpha06 200 12/19/2021
5.0.0-alpha05 187 12/19/2021
5.0.0-alpha04 202 12/19/2021
5.0.0-alpha03 188 12/5/2021
5.0.0-alpha02 239 7/11/2021
5.0.0-alpha01 323 6/27/2021
4.15.0 730 1/7/2021
4.14.0 576 1/1/2021
4.13.0 438 12/30/2020
4.12.0 663 8/2/2020
4.11.0 785 5/24/2020
4.10.0 613 5/24/2020
4.9.1 613 4/12/2020
4.9.0 636 10/13/2019
4.8.1 707 6/11/2019
4.8.0 692 6/2/2019
4.8.0-beta02 498 5/30/2019
4.8.0-beta01 515 4/28/2019
4.7.0 949 11/11/2018
4.6.0 877 10/19/2018
4.5.0 1,096 5/22/2018
4.4.1 1,070 5/6/2018
3.20.2 7,692 1/22/2018
3.20.1 1,077 1/13/2018
3.20.0 1,181 7/15/2017
3.20.0-beta01 807 5/31/2017
3.19.0 1,079 4/29/2017
3.18.0 1,060 4/9/2017
3.17.0 1,118 1/15/2017
3.16.0 1,053 1/3/2017
3.15.0 1,077 12/27/2016
3.14.0-beta03 868 11/20/2016
3.14.0-beta02 843 11/15/2016
3.14.0-beta01 833 10/30/2016
3.13.1 1,118 9/6/2016
3.13.0 1,044 8/18/2016
3.12.0 1,142 7/3/2016
3.11.1 1,402 4/24/2016
3.11.0 1,340 2/13/2016
3.10.0 1,234 12/30/2015
3.9.0 1,303 11/25/2015
3.8.0 1,246 9/26/2015
3.7.1 1,243 9/21/2015
3.7.0 1,374 5/9/2015
3.6.0 1,434 3/22/2015
3.5.0 1,354 1/10/2015
3.4.0 1,192 1/4/2015
3.3.0 1,340 11/26/2014
3.3.0-beta2 1,088 10/25/2014
3.3.0-beta1 990 9/28/2014
3.2.3 1,404 9/6/2014
3.2.2 1,219 9/5/2014
3.2.1 1,254 8/5/2014
3.2.0 1,211 8/5/2014
3.1.0 1,242 7/20/2014
3.0.2 1,249 6/26/2014
3.0.1 1,231 6/24/2014
3.0.0 1,214 6/21/2014
3.0.0-beta05 975 6/20/2014
3.0.0-beta04 994 6/15/2014
3.0.0-beta03 1,013 6/5/2014
3.0.0-beta02 994 5/29/2014
3.0.0-beta01 1,188 4/14/2014
3.0.0-alpha9 1,071 3/29/2014
3.0.0-alpha8 1,053 2/26/2014
3.0.0-alpha7 964 12/30/2013
3.0.0-alpha6 1,027 12/2/2013
3.0.0-alpha5 1,111 10/2/2013

Root Finding: improve accuracy handling ~Konstantin Tretyakov
Regression: GoodnessOfFit StandardError ~David Falkner