Chapter 1. Cloud Uncertainty Quantification for Runback Ice Formations in Anti-Ice Electro-Thermal Ice Protection Systems
Chapter 2. Multi-fidelity Surrogate Assisted Design Optimisation of an Airfoil under Uncertainty using Far-Field Drag Approximation
Chapter 3. Scalable dynamic asynchronous Monte Carlo framework applied to wind engineering problems
Chapter 4. Multi-Objective Optimal Design and Maintenance for Systems Based on Calendar Times Using MOEA/D-DE
Chapter 5. From Uncertainty Quanti cation to Shape Optimization: Cross-Fertilization of Methods for Dimensionality Reduction
Chapter 6. Multi-Objective Robustness Analysis of the Polymer Extrusion Process
Chapter 7. Quantification of operational and geometrical uncertainties of a 1.5 stage axial compressor with cavity leakage flows
Chapter 8. Can Uncertainty Propagation Solve the Mysterious Case of Snoopy ?
Chapter 9. Robust Particle Filter for Space Navigation under Epistemic Uncertainty
Chapter 10. Computing bounds for imprecise continuous-time Markov chains using normal cones
Chapter 11. Simultaneous Sampling for Robust Markov Chain Monte Carlo Inference
Chapter 12. Computing Expected Hitting Times for Imprecise Markov Chains
Chapter 13. Multi-Objective Robust Trajectory Optimization of Multi Asteroid Fly-By Under Epistemic Uncertainty
Chapter 14. Reliability-based Robust Design Optimization of a Jet Engine Nacelle
Chapter 15. Bayesian Optimization for Robust Solutions under Uncertain Input
Chapter 16. Optimization under Uncertainty of Shock Control Bumps for Transonic Wings
Chapter 17. Multi-objective design optimisation of an airfoil with geometrical uncertainties leveraging multi- delity Gaussian process regression
Chapter 18. High-Lift Devices Topology Robust Optimisation using Machine Learning Assisted Optimisation
Chapter 19. Network Resilience Optimisation of Complex Systems
Chapter 20. Gaussian Processes for CVaR approximation in Robust Aerodynamic Shape Design
Chapter 21. Inference methods for gas/surface interaction models: from deterministic approaches to Bayesian techniques
Chapter 22. Bayesian Adaptive Selection Under Prior Ignorance
Chapter 23. A Machine-Learning Framework for Plasma-Assisted Combustion using Principal Component Analysis and Gaussian Process Regression
Chapter 24. Estimating exposure fraction from radiation biomarkers: a comparison of frequentist and Bayesian approaches
Chapter 25. A Review of some recent advancements in Non-Ideal Compressible Fluid Dynamics
Chapter 26. Dealing with high dimensional inconsistent measurements in inverse problems using surrogate modeling: an approach based on sets and intervals
Chapter 27. Stochastic Preconditioners for Domain Decomposition Methods
Index.