LC Astfalck
Emulation of vessel motion simulators for computationally efficient uncertainty quantification
Astfalck, LC; Cripps, EJ; Gosling, JP; Milne, IA
Citation
Astfalck, L., Cripps, E., Gosling, J., & Milne, I. (2019). Emulation of vessel motion simulators for computationally efficient uncertainty quantification. Ocean Engineering, 172, 726-736
| Journal Article Type | Article |
|---|---|
| Publication Date | 2019 |
| Deposit Date | May 4, 2022 |
| Journal | Ocean Engineering |
| Print ISSN | 0029-8018 |
| Electronic ISSN | 1873-5258 |
| Publisher | Elsevier |
| Volume | 172 |
| Pages | 726-736 |
| Public URL | https://durham-repository.worktribe.com/output/1209040 |
You might also like
A Bayesian Computer Model Analysis of Robust Bayesian Analyses
(2022)
Journal Article
Gaussian process modeling of heterogeneity and discontinuities using Voronoi tessellations
(2021)
Journal Article
Potential of ToxCast data in the safety assessment of food chemicals
(2020)
Journal Article
Artificial Intelligence for chemical risk assessment
(2020)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search