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Global Optimization - New product announcement

Global Optimization 
Fast and Easy Nonlinear Global Optimization 

	Global Optimization is a package that performs nonlinear global
optimization. It uses the Mathematica system as an interface for
defining the nonlinear system to be solved and for computing numeric
function values. Any function computable by Mathematica can be used as
input, including degree of fit of a model against data and simulation

	The package uses a unique grid refinement algorithm. This algorithm is
based on the identification of feasible points which define the
solution set at each iteration. As lower points are found during the
grid refinement process, points far from the current optimum are pruned
from the solution set. As a result, multiple minima can be found in a
single run--if they exist. The algorithm can also identify optimal
regions rather than only a single point. These optimal regions might
represent the bounds on feasible management strategies that achieve an
equivalent result, or they might depict confidence limits for a
parameter estimation problem. Nonlinear inequality constraints, which
may even define disjunct parameter search spaces, are allowed. 

	Advanced mathematics is not required to use Global Optimization.
Derivatives are not required, and the function need not even be
differentiable. Robust solutions are provided with the goal of saving
time for the user by finding all optimal solutions in a single run. 

	Developed and supported by Loehle Enterprises. 

Available for Windows, Mac, Linux, SGI, HP, SunOS, and Solaris

For ordering information, see Wolfram Research's Online Store at or contact your local sales

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