Robust Optimization-Directed Design. Nonconvex Optimization and Its Applications, Volume 81.

Author:   A J Kurdilla ,  Andrew J Kurdila ,  Panos M Pardalos ,  Michael Zabarankin
Publisher:   Springer
ISBN:  

9786610609352


Pages:   279
Publication Date:   01 January 2006
Format:   Electronic book text
Availability:   Out of stock   Availability explained
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Robust Optimization-Directed Design. Nonconvex Optimization and Its Applications, Volume 81.


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Overview

Robust design -- that is, managing design uncertainties such as model uncertainty or parametric uncertainty -- is the often unpleasant issue crucial in much multidisciplinary optimal design work. Recently, there has been enormous practical interest in strategies for applying optimization tools to the development of robust solutions and designs in several areas, including aerodynamics, the integration of sensing (e.g., laser radars, vision-based systems, and millimeter-wave radars) and control, cooperative control with poorly modeled uncertainty, cascading failures in military and civilian applications, multi-mode seekers/sensor fusion, and data association problems and tracking systems. The contributions to this book explore these different strategies. The expression optimization-directed in this book's title is meant to suggest that the focus is not agonizing over whether optimization strategies identify a true global optimum, but rather whether these strategies make significant design improvements.

Full Product Details

Author:   A J Kurdilla ,  Andrew J Kurdila ,  Panos M Pardalos ,  Michael Zabarankin
Publisher:   Springer
Imprint:   Springer
ISBN:  

9786610609352


ISBN 10:   6610609357
Pages:   279
Publication Date:   01 January 2006
Audience:   General/trade ,  General
Format:   Electronic book text
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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