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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Kurdila, Andrew J. (Editor ), Pardalos, Panos M. (Editor ), Zabarankin, Michael (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer US : Imprint: Springer, 2006.
Edición:1st ed. 2006.
Colección:Nonconvex Optimization and Its Applications ; 81
Temas:
Mathematical optimization.
Mathematics.
System theory.
Control theory.
Optimization.
Applications of Mathematics.
Systems Theory, Control .
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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