Research Data Supporting "Generalized Information Reuse for Optimization Under Uncertainty with Non-Sample Average Estimators"
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Cook, L. (2018). Research Data Supporting "Generalized Information Reuse for Optimization Under Uncertainty with Non-Sample Average Estimators" [Dataset]. https://doi.org/10.17863/CAM.24954
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.
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.
Optimization Under Uncertainty, Uncertainty Quantification, Monte Carlo Sampling, Information Reuse, Multifidelity Methods
Publication Reference: https://doi.org/10.1002/nme.5904https://www.repository.cam.ac.uk/handle/1810/277706
This record's DOI: https://doi.org/10.17863/CAM.24954
Attribution 4.0 International (CC BY 4.0)
Licence URL: https://creativecommons.org/licenses/by/4.0/
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