Global Optimization 7
Reliable Global Optimization for Constrained and Unconstrained
Nonlinear Functions
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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