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The Optimization Programming Language (OPL) provides a natural representation of optimization models, requiring far less effort than general-purpose programming languages. OPL has advanced data types designed for the special needs of optimization problems, and it fully supports linear and quadratic objectives and constraints, as well as real and integer decision variables. It also supports both mathematical and constraint programming techniques.
The IBM ILOG OPL-CPLEX Developer Edition integrated development environment (IDE) makes it easy to evaluate different modeling approaches to a problem and to integrate external data. Debugging and tuning tools support the development process, and once ready, the model can be deployed into an external application. OPL models can be easily integrated int