IBM ILOG CPLEX Optimization Studio

IBM^® ILOG^® CPLEX^® Optimization Studio is an analytical decision support toolkit for rapid development and deployment of optimization models using mathematical and constraint programming. It combines an integrated development environment (IDE) with the powerful Optimization Programming Language (OPL) and high-performance ILOG CPLEX optimizer solvers.

IBM ILOG CPLEX Optimization Studio enables users to:

• Optimize business decisions with high-performance optimization engines
• Develop and deploy optimization models quickly by using flexible interfaces and prebuilt deployment scenarios
• Create real-world applications that can significantly improve business outcomes

The CPLEX for MATLAB Toolbox provides functions for solving a variety of mathematical programming problems. The toolbox functions are designed to take a model description as input and produce a solution as output.

While the CPLEX for MATLAB Toolbox functions provide the ability to solve a multitude of mathematical programming problems, the toolbox design does not support restart. To enable users to use decomposition algorithms, the Cplex Class API is also provided in CPLEX for MATLAB.

The Cplex class stores the model and provides methods for the solution, analysis, manipulation, and reading/writing of the model file. All of the data associated with the problem is stored in the properties of a Cplex object. These class properties are standard MATLAB^® data structures and can be manipulated directly within MATLAB. However, modifying the problem using methods provided in the Cplex class enforces consistency, such as ensuring that vectors are of the proper length.