Google.OrTools 9.10.4067

Prefix Reserved

Requires NuGet 4.1.0 or higher.

dotnet add package Google.OrTools --version 9.10.4067                
NuGet\Install-Package Google.OrTools -Version 9.10.4067                
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" Version="9.10.4067" />                
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Google.OrTools --version 9.10.4067                
#r "nuget: Google.OrTools, 9.10.4067"                
#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 as a Cake Addin
#addin nuget:?package=Google.OrTools&version=9.10.4067

// Install Google.OrTools as a Cake Tool
#tool nuget:?package=Google.OrTools&version=9.10.4067                

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.

Product Compatible and additional computed target framework versions.
.NET net6.0 is compatible.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 was computed.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 was computed.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed. 
.NET Framework net462 is compatible.  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 (25)

Showing the top 5 NuGet packages that depend on Google.OrTools:

Package Downloads
CenterSpace.NMath.Standard.Windows.X64

Foundational classes for financial, engineering, and scientific applications, including complex number classes, general vector and matrix classes, structured sparse matrix classes and factorizations, general sparse matrix classes and factorizations, general matrix decompositions, least squares solutions, random number generators, Fast Fourier Transforms (FFTs), numerical integration and differentiation methods, function minimization, curve fitting, root-finding, linear and nonlinear programming. This package also provides functions for statistical computation and biostatistics, including descriptive statistics, probability distributions, combinatorial functions, multiple linear regression, hypothesis testing, analysis of variance, multivariate statistics, partial least squares, and nonnegative matrix factorization. Built on .NET Standard 2.0. Requires a minimum of .NET Standard 2.0, .NET 5, .NET Core 2.0 or .NET Framework 4.6.1. Requires Visual Studio 2015-2019 C++ x64 runtime. Requires x64 hardware.

CenterSpace.NMath.Standard.Linux.X64

Foundational classes for financial, engineering, and scientific applications, including complex number classes, general vector and matrix classes, structured sparse matrix classes and factorizations, general sparse matrix classes and factorizations, general matrix decompositions, least squares solutions, random number generators, Fast Fourier Transforms (FFTs), numerical integration and differentiation methods, function minimization, curve fitting, root-finding, linear and nonlinear programming. This package also provides functions for statistical computation and biostatistics, including descriptive statistics, probability distributions, combinatorial functions, multiple linear regression, hypothesis testing, analysis of variance, multivariate statistics, partial least squares, and nonnegative matrix factorization. Built on .NET Standard 2.0. Requires a minimum of .NET Standard 2.0, .NET 5, .NET Core 2.0 or .NET Framework 4.6.1. Requires libgcc linux. Requires x64 hardware.

Flips

A F# library for creating and solving Linear Programming and Mixed Integer Programming Models

Kingdom.OrTools.ConstraintSolver.Core

Provides a convenient, easy to use wrapper for Constraint Satisfaction Programming based on the Google OR-tools.

Google.OrTools.FSharp

.NET F# wrapper for the Operations Research Tools project

GitHub repositories (3)

Showing the top 3 popular GitHub repositories that depend on Google.OrTools:

Repository Stars
kendryte/nncase
Open deep learning compiler stack for Kendryte AI accelerators ✨
ShadowTheAge/yafc
Powerful Factorio calculator/analyser that works with mods
DanielKote/Foreman2
Visual planning tool for Factorio
Version Downloads Last updated
9.10.4067 19,728 5/8/2024
9.9.3963 33,030 3/8/2024
9.8.3296 80,821 11/16/2023
9.7.2996 50,582 8/9/2023
9.6.2534 154,766 3/13/2023
9.5.2237 143,991 11/29/2022
9.4.1874 337,584 8/16/2022
9.3.10497 82,818 3/17/2022
9.2.9972 94,411 12/16/2021
9.1.9490 51,570 10/1/2021
9.0.9048 509,922 4/30/2021
8.2.8710 39,648 3/4/2021
8.1.8487 38,964 12/10/2020
8.0.8283 46,970 10/12/2020
7.8.7959 23,569 8/5/2020
7.7.7816 22,282 6/19/2020
7.7.7810 9,258 6/15/2020
7.6.7691 22,508 4/23/2020
7.5.7466 62,327 1/28/2020
7.4.7247 58,708 10/11/2019
7.3.7083 16,668 8/5/2019
7.2.6977 23,142 7/4/2019
7.1.6720 13,622 5/9/2019
7.0.6546 34,365 3/26/2019
7.0.6150-beta 1,982 12/21/2018
6.10.6025 26,658 11/28/2018
6.9.5841 3,950 10/9/2018
6.7.4973 56,670 3/23/2018
6.7.4957 1,933 3/9/2018
6.5.4527 8,720 10/2/2017
6.4.4495 6,110 9/11/2017
6.0.4217 2,409 5/16/2017
5.1.4077 37,562 3/7/2017
4.4.3842 12,770 9/20/2016
2.0.3322 17,390 9/8/2015
2.0.3300 1,967 8/6/2015
1.0.3854 1,698 2/9/2015
1.0.3853 1,350 2/4/2015
1.0.3839 1,380 1/14/2015