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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...
| Cote: | Libro Electrónico |
|---|---|
| Collectivité auteur: | |
| Autres auteurs: | , , |
| Format: | Électronique eBook |
| Langue: | Inglés |
| Publié: |
New York, NY :
Springer US : Imprint: Springer,
2006.
|
| Édition: | 1st ed. 2006. |
| Collection: | Nonconvex Optimization and Its Applications ;
81 |
| Sujets: | |
| Accès en ligne: | Texto Completo |
Table des matières:
- 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.