Skip to main content
SpringerLink
Log in
SpringerLink
Log in

Robust Optimization-Directed Design

  • Book
  • © 2006

Overview

Editors:
  1. Andrew J. Kurdila

    1. University of Florida, Gainesville

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Panos M. Pardalos

    1. University of Florida, Gainesville

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Michael Zabarankin

    1. Stevens Institute of Technology, Hoboken

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Presents state-of-the-art research in uncertainity modeling, robust design, optimal control and stochastic optimization
  • Includes supplementary material: sn.pub/extras

Part of the book series: Nonconvex Optimization and Its Applications (NOIA, volume 81)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (11 chapters)

  1. Front Matter

    Pages i-ix
    Download chapter PDF

  2. A Multigrid Approach to Optimal Control Computations for Navier-Stokes Flows

    • E. Aulisa, S. Manservisi
    Pages 3-23

  3. Control System Radii and Robustness Under Approximation

    • John A. Burns, Gunther H. Peichl
    Pages 25-61

  4. Equilibrium Analysis for a Network Market Model

    • Juan F. Escobar, Alejandro JofrĂ©
    Pages 63-72

  5. Distributed Solution of Optimal Control Problems Governed by Parabolic Equations

    • Matthias Heinkenschloss, Michael Herty
    Pages 73-94

  6. Modeling and Implementation of Risk-Averse Preferences in Stochastic Programs Using Risk Measures

    • Pavlo A. Krokhmal, Robert Murphey
    Pages 95-116

  7. Shape Optimization of Electrodes for Piezoelectric Actuators

    • Andrew J. Kurdila, Weijian Wang, Yunfei Feng, Richard J. Prazenica
    Pages 117-134

  8. Robust Static Super-Replication of Barrier Options in the Black-Scholes model

    • Jan H. Maruhn, Ekkehard W. Sachs
    Pages 135-155

  9. Numerical Techniques in Relaxed Optimization Problems

    • Tomáš RoubĂ­ÄŤek
    Pages 157-178

  10. Combining Model and Test Data for Optimal Determination of Percentiles and Allowables: CVaR Regression Approach, Part I

    • Stan Uryasev, A. Alexandre Trindade
    Pages 179-207

  11. Combining Model and Test Data for Optimal Determination of Percentiles and Allowables: CVaR Regression Approach, Part II

    • Stan Uryasev, A. Alexandre Trindade
    Pages 209-246

  12. Semidefinite Programming for Sensor Network and Graph Localization

    • Yinyu Ye
    Pages 247-275
Back to top

Keywords

About this book

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.

Editors and Affiliations

  • University of Florida, Gainesville

    Andrew J. Kurdila, Panos M. Pardalos

  • Stevens Institute of Technology, Hoboken

    Michael Zabarankin

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation