ParetoCalculation 4.0.0

dotnet add package ParetoCalculation --version 4.0.0
                    
NuGet\Install-Package ParetoCalculation -Version 4.0.0
                    
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="ParetoCalculation" Version="4.0.0" />
                    
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="ParetoCalculation" Version="4.0.0" />
                    
Directory.Packages.props
<PackageReference Include="ParetoCalculation" />
                    
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 ParetoCalculation --version 4.0.0
                    
#r "nuget: ParetoCalculation, 4.0.0"
                    
#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=ParetoCalculation&version=4.0.0
                    
Install ParetoCalculation as a Cake Addin
#tool nuget:?package=ParetoCalculation&version=4.0.0
                    
Install ParetoCalculation as a Cake Tool

A .Net Framework 4.7.2 package for calculating diverse 2D Pareto properties.

Product Compatible and additional computed target framework versions.
.NET Framework net472 is compatible.  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
4.0.0 218 5/12/2023
3.0.0 377 11/8/2022
2.0.0 388 11/4/2022
1.0.1 389 10/27/2022
1.0.0 387 10/27/2022

Let GlobalOptimumCalculator calculate the closest point to origin and create a global optimum point with same x and y values.