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Optimization Under Uncertainty with Applications to Aerospace Engineering

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Cover of 'Optimization Under Uncertainty with Applications to Aerospace Engineering'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Spectral Methods for Uncertainty Quantification
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    Chapter 2 Introduction to Imprecise Probabilities
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    Chapter 3 Uncertainty Quantification in Lasso-Type Regularization Problems
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    Chapter 4 Reliability Theory
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    Chapter 5 An Introduction to Imprecise Markov Chains
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    Chapter 6 Fundamentals of Filtering
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    Chapter 7 Introduction to Optimisation
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    Chapter 8 An Introduction to Many-Objective Evolutionary Optimization
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    Chapter 9 Multilevel Optimisation
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    Chapter 10 Sequential Parameter Optimization for Mixed-Discrete Problems
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    Chapter 11 Parameter Control in Evolutionary Optimisation
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    Chapter 12 Response Surface Methodology
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    Chapter 13 Risk Measures in the Context of Robust and Reliability Based Optimization
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    Chapter 14 Best Practices for Surrogate Based Uncertainty Quantification in Aerodynamics and Application to Robust Shape Optimization
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    Chapter 15 In-flight Icing: Modeling, Prediction, and Uncertainty
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    Chapter 16 Uncertainty Treatment Applications: High-Enthalpy Flow Ground Testing
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    Chapter 17 Introduction to Evidence-Based Robust Optimisation
Attention for Chapter 14: Best Practices for Surrogate Based Uncertainty Quantification in Aerodynamics and Application to Robust Shape Optimization
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