Robust optimization-directed design

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 deve...

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Autor principal: Kurdila, Andrew J.
Altres autors: Pardalos, Panos M. (Director editorial), Zabarankin, Michael (Director editorial)
Format: Livre numérique
Idioma:Anglais
Publicat: New York, NY : Springer US 2006.
Cham : Springer Nature
Col·lecció:Nonconvex Optimization and Its Applications 81
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Accès INSA CVL
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Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Robust Optimization-Directed Design, Texte imprimé, 9780387508955
• Robust Optimization-Directed Design, Texte imprimé, 9780387282633
• Robust Optimization-Directed Design, Texte imprimé, 9781461498346
Taula de continguts:
  • A Multigrid Approach to Optimal Control Computations for Navier-Stokes Flows
  • Control System Radii and Robustness Under Approximation
  • Equilibrium Analysis for a Network Market Model
  • Distributed Solution of Optimal Control Problems Governed by Parabolic Equations
  • Modeling and Implementation of Risk-Averse Preferences in Stochastic Programs Using Risk Measures
  • Shape Optimization of Electrodes for Piezoelectric Actuators
  • Robust Static Super-Replication of Barrier Options in the Black-Scholes model
  • Numerical Techniques in Relaxed Optimization Problems
  • Combining Model and Test Data for Optimal Determination of Percentiles and Allowables: CVaR Regression Approach, Part I
  • Combining Model and Test Data for Optimal Determination of Percentiles and Allowables: CVaR Regression Approach, Part II
  • Semidefinite Programming for Sensor Network and Graph Localization.