Advances in Uncertainty Quantification and Optimization Under Uncertainty with Aerospace Applications [E-Book] : Proceedings of the 2020 UQOP International Conference / edited by Massimiliano Vasile, Domenico Quagliarella.
The 2020 International Conference on Uncertainty Quantification & Optimization gathered together internationally renowned researchers in the fields of optimization and uncertainty quantification. The resulting proceedings cover all related aspects of computational uncertainty management and opti...
Saved in:
Full text |
|
Personal Name(s): | Quagliarella, Domenico, editor |
Vasile, Massimiliano, editor | |
Edition: |
1st edition 2021. |
Imprint: |
Cham :
Springer,
2021
|
Physical Description: |
IX, 457 pages 172 illustrations, 137 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9783030805425 |
DOI: |
10.1007/978-3-030-80542-5 |
Series Title: |
/* Depending on the record driver, $field may either be an array with
"name" and "number" keys or a flat string containing only the series
name. We should account for both cases to maximize compatibility. */?>
Space Technology Proceedings ;
8 |
Subject (LOC): |
- 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.