Technology/Engineering/Mechanical
Provides all the tools needed to begin solving optimization
problems using MATLAB(R)
The Second Edition of Applied Optimization with MATLAB(R)
Programming enables readers to harness all the features of
MATLAB(R) to solve optimization problems using a variety of linear
and nonlinear design optimization techniques. By breaking down
complex mathematical concepts into simple ideas and offering plenty
of easy-to-follow examples, this text is an ideal introduction to
the field. Examples come from all engineering disciplines as well
as science, economics, operations research, and mathematics,
helping readers understand how to apply optimization techniques to
solve actual problems.
This Second Edition has been thoroughly revised, incorporating
current optimization techniques as well as the improved MATLAB(R)
tools. Two important new features of the text are:
Introduction to the scan and zoom method, providing a simple,
effective technique that works for unconstrained, constrained, and
global optimization problems
New chapter, Hybrid Mathematics: An Application, using examples
to illustrate how optimization can develop analytical or explicit
solutions to differential systems and data-fitting problems
Each chapter ends with a set of problems that give readers an
opportunity to put their new skills into practice. Almost all of
the numerical techniques covered in the text are supported by
MATLAB(R) code, which readers can download on the text's companion
Web site www.wiley.com/go/venkat2e and use to begin solving
problems on their own.
This text is recommended for upper-level undergraduate and
graduate students in all areas of engineering as well as other
disciplines that use optimization techniques to solve design
problems.
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