Titlebook: Robust Optimization-Directed Design; Andrew J. Kurdila,Panos M. Pardalos,Michael Zabara Book 2006 Springer-Verlag US 2006 Optimal control.

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Modeling and Implementation of Risk-Averse Preferences in Stochastic Programs Using Risk Measures,rive representations for several classes of risk measures (e.g., coherent risk measures, deviation measures) via solutions of specially formulated stochastic programming problems that facilitate incorporation of risk measures in multistage stochastic programming problems. As an illustration of the g

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Shape Optimization of Electrodes for Piezoelectric Actuators,n piezoceramic bimorph actuators for the optimal control of two-dimensional flow fields. It has been observed experimentally that uniformly-electroded bimorphs induce undesirable three-dimensional effects into the flow. These effects complicate the optimal flow control problem considerably. Therefor

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Robust Static Super-Replication of Barrier Options in the Black-Scholes model,se a linear semi-infinite programming formulation of a hedging strategy recently developed in the literature and reduce the sensitivity of the portfolio with respect to model parameters by solving an appropriate robust optimization problem. The resulting robust hedge portfolio offers protection for

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Combining Model and Test Data for Optimal Determination of Percentiles and Allowables: CVaR Regressying the impact of test data and different analytical models on failure load predictions. Although the method can in principle be applied to any desired quantile, we will focus only on the 10th (B-Basis) in this study. We consider failure data arising from two sources: (1) a controlled environment w

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Book 2006h 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 system

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Equilibrium Analysis for a Network Market Model,ium concepts, namely, the Walrasian and the noncooperative Nash outcomes. By using concepts coming from Variational Analysis and Game Theory, we prove that both equilibria exist. Our existence proofs rely on fixed point theorems and epiconvergence stable approximations.

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