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Google's Operations Research tools
Home Page: https://developers.google.com/optimization/
This project forked from google/or-tools
Google's Operations Research tools
Home Page: https://developers.google.com/optimization/
These modules have been tested under: - Ubuntu 14.04 and 16.04 up (64-bit). - Mac OS X El Capitan with Xcode 7.x (64 bit). - Microsoft Windows with Visual Studio 2013 and 2015 (64-bit) Upon checking out the repository, you will get the following structure: or-tools/ LICENSE-2.0.txt <- Apache license Makefile <- Top-level Makefile CONTRIBUTING <- Contribution guidelines README <- This file bin/ <- Compiled binaries dependencies/ <- Built dependencies examples/ <- Root directory for all examples examples/com/ <- Java examples examples/cpp/ <- C++ examples examples/csharp/ <- C# examples examples/data/ <- Data files for examples examples/flatzinc/ <- Flatzinc examples examples/python/ <- Python examples examples/tests/ <- C# unit tests and bug reports lib/ <- Libraries and jar files makefiles/ <- Subsidiary makefiles objs/ <- C++ object files src/ <- Source code src/algorithms/ <- Basic algorithms src/base/ <- Basic utilities src/bop/ <- Boolean solver based on SAT src/com/ <- C# and Java source files src/constraint_solver/ <- Constraint solver src/flatzinc/ <- Flatzinc interpreter src/gen/ <- Generated files src/glop/ <- Linear solver src/graph/ <- Graph algorithms src/linear_solver/ <- Linear solver wrapper src/lp_data/ <- Data structures for linear model src/ortools <- Python source code src/sat/ <- Sat solver src/util/ <- Utilities needed by the constraint solver tools/ <- Windows binaries For installation instructions (both source and binary), visit https://developers.google.com/optimization/installing.
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