Research Data Supporting "Generalized Information Reuse for Optimization Under Uncertainty with Non-Sample Average Estimators"
Description
Research data supporting the publication titled "Generalized Information Reuse for Optimization Under Uncertainty with Non-Sample Average Estimators". This data consists of the code that was used to create the figures and results reported in the publication. It is a python package that implements the method developed in the publication.
Format
This is a python package that implements the generalized information reuse method.
It includes an example script named "run_optimization.py" that demonstrates how an optimization is run, and an example script named "plot_optimization_results.py" that demonstrates how to plot the results.
Keywords
Optimization Under Uncertainty, Uncertainty Quantification, Monte Carlo Sampling, Information Reuse, Multifidelity Methods
Relationships
Publication Reference: https://doi.org/10.1002/nme.5904https://www.repository.cam.ac.uk/handle/1810/277706
Sponsorship
EPSRC (1476418)
Identifiers
This record's DOI: https://doi.org/10.17863/CAM.24954
Rights
Attribution 4.0 International (CC BY 4.0)
Licence URL: https://creativecommons.org/licenses/by/4.0/
Statistics
Total file downloads (since January 2020). For more information on metrics see the
IRUS guide.
Except where otherwise noted, this item's licence is described as Attribution 4.0 International (CC BY 4.0)