TY  - GEN
AB  - 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 optimization, with particular emphasis on aerospace engineering problems. The book contributions are organized under four major themes: Applications of Uncertainty in Aerospace & Engineering Imprecise Probability, Theory and Applications Robust and Reliability-Based Design Optimisation in Aerospace Engineering Uncertainty Quantification, Identification and Calibration in Aerospace Models This proceedings volume is useful across disciplines, as it brings the expertise of theoretical and application researchers together in a unified framework.
AU  - Vasile, Massimiliano,
AU  - Quagliarella, D.,
CN  - TL560
DO  - 10.1007/978-3-030-80542-5
DO  - doi
ID  - 1441865
KW  - Aeronautics
KW  - Measurement uncertainty (Statistics)
KW  - Mathematical optimization
KW  - Aéronautique
KW  - Incertitude de mesure
KW  - Optimisation mathématique
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-80542-5
N1  - Includes index.
N2  - 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 optimization, with particular emphasis on aerospace engineering problems. The book contributions are organized under four major themes: Applications of Uncertainty in Aerospace & Engineering Imprecise Probability, Theory and Applications Robust and Reliability-Based Design Optimisation in Aerospace Engineering Uncertainty Quantification, Identification and Calibration in Aerospace Models This proceedings volume is useful across disciplines, as it brings the expertise of theoretical and application researchers together in a unified framework.
SN  - 9783030805425
SN  - 3030805425
T1  - Advances in uncertainty quantification and optimization under uncertainty with aerospace applications :proceedings of the 2020 UQOP International Conference /
TI  - Advances in uncertainty quantification and optimization under uncertainty with aerospace applications :proceedings of the 2020 UQOP International Conference /
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-80542-5
VL  - volume 8
ER  -