Optimization Methods

From Theory to Design Scientific and Technological Aspects in Mechanics

  • Marco Cavazzuti

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Marco Cavazzuti
    Pages 1-10
  3. Optimization Theory

    1. Front Matter
      Pages 11-11
    2. Marco Cavazzuti
      Pages 13-42
    3. Marco Cavazzuti
      Pages 43-76
    4. Marco Cavazzuti
      Pages 77-102
    5. Marco Cavazzuti
      Pages 103-130
    6. Marco Cavazzuti
      Pages 131-143
  4. Applications

  5. Back Matter
    Pages 233-262

About this book

Introduction

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.

Keywords

Convection Optimization Design of Experiment DOE Deterministic Optimization Pareto Optimality Response Surface Modeling RSM Robust Design Analysis RDA Robust Engineering Design Stochastic Optimization

Authors and affiliations

  • Marco Cavazzuti
    • 1
  1. 1.Reggio EmiliaUniversità degli Studi di Modena eModenaItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-31187-1
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-31186-4
  • Online ISBN 978-3-642-31187-1
  • About this book