Google.OrTools.runtime.osx-arm64 9.9.3963

The ID prefix of this package has been reserved for one of the owners of this package by NuGet.org. Prefix Reserved

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dotnet add package Google.OrTools.runtime.osx-arm64 --version 9.9.3963
NuGet\Install-Package Google.OrTools.runtime.osx-arm64 -Version 9.9.3963
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="Google.OrTools.runtime.osx-arm64" Version="9.9.3963" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Google.OrTools.runtime.osx-arm64 --version 9.9.3963
#r "nuget: Google.OrTools.runtime.osx-arm64, 9.9.3963"
#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 Google.OrTools.runtime.osx-arm64 as a Cake Addin
#addin nuget:?package=Google.OrTools.runtime.osx-arm64&version=9.9.3963

// Install Google.OrTools.runtime.osx-arm64 as a Cake Tool
#tool nuget:?package=Google.OrTools.runtime.osx-arm64&version=9.9.3963

Google OR-Tools

This is the .NET wrapper of OR-Tools.

About OR-Tools

Google Optimization Tools (a.k.a. OR-Tools) is open source, fast and portable software suite for solving combinatorial optimization problems, which seeks to find the best solution to a problem out of a very large set of possible solutions. Here are some examples of problems that OR-Tools solves:

  • Vehicle routing: Find optimal routes for vehicle fleets that pick up and deliver packages given constraints (e.g., "this truck can't hold more than 20,000 pounds" or "all deliveries must be made within a two-hour window").
  • Scheduling: Find the optimal schedule for a complex set of tasks, some of which need to be performed before others, on a fixed set of machines, or other resources.
  • Bin packing: Pack as many objects of various sizes as possible into a fixed number of bins with maximum capacities.

In most cases, problems like these have a vast number of possible solutions—too many for a computer to search them all. To overcome this, OR-Tools uses state-of-the-art algorithms to narrow down the search set, in order to find an optimal (or close to optimal) solution.

OR-Tools includes solvers for:

Constraint Programming

A set of techniques for finding feasible solutions to a problem expressed as constraints (e.g., a room can't be used for two events simultaneously, or the distance to the crops must be less than the length of the hose, or no more than five TV shows can be recorded at once).

Linear and Mixed-Integer Programming

The Glop linear optimizer finds the optimal value of a linear objective function, given a set of linear inequalities as constraints (e.g., assigning people to jobs, or finding the best allocation of a set of resources while minimizing cost). The mixed-integer programming software SCIP is also available.

Vehicle Routing

A specialized library for identifying best vehicle routes given constraints.

Graph Algorithms

Code for finding shortest paths in graphs, min-cost flows, max flows, and linear sum assignments.

Roadmap

See the open issues for a list of proposed features and known issues.

Contributing

The CONTRIBUTING.md file contains instructions on how to submit the Contributor License Agreement before sending any pull requests (PRs).

Of course, if you're new to the project, it's usually best to discuss any proposals and reach consensus before sending your first PR.

License

The OR-Tools software suite is licensed under the terms of the Apache License 2.0.

There are no supported framework assets in this package.

Learn more about Target Frameworks and .NET Standard.

  • net6.0

    • No dependencies.

NuGet packages (1)

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Google.OrTools The ID prefix of this package has been reserved for one of the owners of this package by NuGet.org.

.NET wrapper for the Operations Research Tools project

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Version Downloads Last updated
9.9.3963 2,862 3/8/2024
9.8.3296 35,912 11/16/2023
9.7.2996 46,362 8/9/2023
9.6.2534 127,835 3/13/2023
9.5.2237 125,604 11/29/2022
9.4.1874 287,171 8/16/2022