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Global Optimization 7

Reliable Global Optimization for Constrained and Unconstrained Nonlinear Functions

Mathematica 7 compatible Global Optimization is a collection of functions for constrained and unconstrained global nonlinear optimization. It uses Mathematica as an interface for defining nonlinear systems to be solved and for computing function numeric values. Any function computable by Mathematica can be used as input, including the degree of fit of a model against data, black-box functions, and simulation models. In use since 1998, the package is well tested by a worldwide community of users.

The tools in Global Optimization are able to solve some of the most challenging optimization problems, including 10,000 variable problems. The package utilizes the parallel computing capabilities of Mathematica 7 to greatly reduce run times. Global Optimization can solve problems where the initial search region is complex. Very wavy functions with many local minima are also solvable.


About the Developer

Dr. Craig Loehle is the founder and president of Loehle Enterprises, which develops and markets software and also offers consulting. He is a research scientist with four books and over 100 publications in applied mathematics and ecology, on topics that include statistical models, optimization, simulation, artificial intelligence, fractals, and wavelets.


Product Support

Global Optimization is developed and supported by Loehle Enterprises. Registered users can contact the developer for updates.

Loehle Enterprises
1258 Windemere Avenue
Naperville, IL 60564
+1-630-476-1258
email: info@loehleenterprises.com


Global Optimization 7.0 requires Mathematica 7 and is compatible with all supported Mathematica platforms.

Note: Contact the developer for upgrade or trial information.



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