Industrial Optimization is a Mathematica application package designed to solve a wide range of optimization problems. It provides established algorithms for linear and nonlinear optimization as well as modern techniques such as genetic programming. Because the package runs in conjunction with Mathematica, users also have access to the Mathematica programming language and over 1,500 operations that can be used to read, prepare, and analyze data in a single application.
Industrial Optimization comes with built-in palettes, detailed explanations, and examples in both electronic and bound formats to help users begin formulating and solving problems immediately. Default behaviors have been chosen carefully to handle most situations, and all functions have an extensive assortment of options that allow advanced users to specify the algorithm's behavior and output.
Regardless of the computational tool used, there are instances in which conventional algorithms like Newton's method can't find an optimum or in which convergence is very slow. In these cases, Industrial Optimization provides users with other modern and efficient techniques, such as evolutionary algorithms, to find a solution. Industrial Optimization is developed and supported by Visual Analysis GmbH.
Functions include the following.
Linear optimization routines for solving the following:
More information on Industrial Optimization.