MathOptimizer: Advanced Modeling and Optimization for
Mathematica Users
July 15, 2002--MathOptimizer, developed and supported by Pintér
Consulting Services, Inc.,
is now available from Wolfram Research. MathOptimizer is a
Mathematica
application package that enables the global and local numerical solution
of
optimization problems defined by a finite number of functions over a finite
n-dimensional interval region. A special emphasis is placed upon nonlinear
models, including those that typically have an unknown number of local
optima.
Nonlinear and global optimization problems are ubiquitous in the sciences,
engineering, and economics. Several prominent examples are systems of
nonlinear equations and inequalities, nonlinear regression, forecasting
models, data classification, minimal energy models, various packing
problems, risk management and other stochastic decision problems, and the
design and operation of "black box" engineering systems.
MathOptimizer is a useful tool for solving all of these types of
problems. The detailed User Guide, which can be directly invoked through
Mathematica's
online help system, includes concise mathematical background notes, useful
modeling tips, and discussion of a number of test problems and nontrivial
examples.
János D. Pintér, the developer of MathOptimizer, is an active
researcher in
the area of global/nonlinear optimization as well as a professional software
developer. He received the 2000 INFORMS Computing Society Prize for the
book
Global Optimization in Action and has authored and edited other
books and numerous research articles related to this field.
More information about MathOptimizer
is available.
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