Research Data Supporting "Generalized Information Reuse for Optimization Under Uncertainty with Non-Sample Average Estimators"
Repository URI
Repository DOI
Change log
Authors
Cook, LW
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.
Version
Software / Usage instructions
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
Publisher
Sponsorship
EPSRC (1476418)