Robust Optimization-Directed Design

Author:   Andrew J. Kurdila ,  Panos M. Pardalos ,  Michael Zabarankin
Publisher:   Springer-Verlag New York Inc.
Edition:   2006 ed.
Volume:   81
ISBN:  

9781461498346


Pages:   275
Publication Date:   19 November 2014
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Robust Optimization-Directed Design


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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.

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Author:   Andrew J. Kurdila ,  Panos M. Pardalos ,  Michael Zabarankin
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   2006 ed.
Volume:   81
Dimensions:   Width: 15.50cm , Height: 1.50cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9781461498346


ISBN 10:   1461498341
Pages:   275
Publication Date:   19 November 2014
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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