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Global Optimization with Mathematica

Global Optimization 3.0 Released

Loehle Enterprises announces the release of v. 3.0 of Global
Optimization for Mathematica.  Version 3.0 features 4 functions
including a generalized hill-climbing algorithm that accepts any mix
of real, integer, and discrete variables and is very robust to local
minima, a 0-1 integer solver using the Interchange Method, and an
allocation solver for nonlinear investment problems.  It is ideal for
engineering design problems, finance, nonlinear model fitting, and
other applications.  For more information contact craigloehl at

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