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This book is about optimization techniques and is subdivided into
two parts. In the first part a wide overview on optimization theory
is presented. Optimization is presented as being composed of five
topics, namely: design of experiment, response surface modeling,
deterministic optimization, stochastic optimization, and robust
engineering design. Each chapter, after presenting the main
techniques for each part, draws application oriented conclusions
including didactic examples. In the second part some applications
are presented to guide the reader through the process of setting up
a few optimization exercises, analyzing critically the choices
which are made step by step, and showing how the different topics
that constitute the optimization theory can be used jointly in an
optimization process. The applications which are presented are
mainly in the field of thermodynamics and fluid dynamics due to the
author's background.
This book is about optimization techniques and is subdivided into
two parts. In the first part a wide overview on optimization theory
is presented. Optimization is presented as being composed of five
topics, namely: design of experiment, response surface modeling,
deterministic optimization, stochastic optimization, and robust
engineering design. Each chapter, after presenting the main
techniques for each part, draws application oriented conclusions
including didactic examples. In the second part some applications
are presented to guide the reader through the process of setting up
a few optimization exercises, analyzing critically the choices
which are made step by step, and showing how the different topics
that constitute the optimization theory can be used jointly in an
optimization process. The applications which are presented are
mainly in the field of thermodynamics and fluid dynamics due to the
author's background.
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