Introduction to Spectral Methods for Uncertainty Quantification
Introduction to Imprecise Probabilities
Uncertainty Quantification in Lasso-Type Regularization Problems
Reliability Theory
An Introduction to Imprecise Markov Chains
Fundamentals of Filtering
Introduction to Optimisation
An Introduction to Many-Objective Evolutionary Optimization
Multilevel Optimisation
Sequential Parameter Optimization for Mixed-Discrete Problems
Parameter Control in Evolutionary Optimisation
Response Surface Methodology
Risk Measures in the Context of Robust and Reliability Based Optimization
Best Practices for Surrogate Based Uncertainty Quantification in Aerodynamics and Application to Robust Shape Optimization
In-flight Icing: Modeling, Prediction, and Uncertainty
Uncertainty Treatment Applications: High-Enthalpy Flow Ground Testing
Introduction to Evidence-Based Robust Optimisation.