All of the data associated with the problem is stored in the properties of a Cplex object. The Cplex class stores the model and provides methods for the solution, analysis, manipulation, and reading/writing of the model file. To enable users to use decomposition algorithms, the Cplex Class API is also provided in CPLEX for MATLAB. 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.
The toolbox functions are designed to take a model description as input and produce a solution as output. The CPLEX for MATLAB Toolbox provides functions for solving a variety of mathematical programming problems.
Create real-world applications that can significantly improve business outcomes.Develop and deploy optimization models quickly by using flexible interfaces and prebuilt deployment scenarios.Optimize business decisions with high-performance optimization engines.IBM ILOG CPLEX Optimization Studio enables users to: 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 is an analytical decision support toolkit for rapid development and deployment of optimization models using mathematical and constraint programming.