Published March 3, 2021
| Version v1
Dataset
Open
Evaluating Gaussian Process Metamodels and Sequential Designs for Noisy Level Set Estimation - Data
Authors/Creators
- 1. University of California, Santa Barbara
- 2. Argonne National Laboratory
Description
This is the simulation dataset for synthetic experiments (2D Modified Branin-Hoo function and 2D Michalewicz function) and case study (2D put option and 3D call option) in the article "Evaluating Gaussian Process Metamodels and Sequential Designs for Noisy Level Set Estimation". The code to generate the dataset is also uploaded to Zenodo (DOI 10.5281/zenodo.4579994).
Files
data.zip
Files
(19.1 GB)
| Name | Size | Download all |
|---|---|---|
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md5:eec79759daf714d3cadaad7d2f97daa4
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19.1 GB | Preview Download |
Additional details
Related works
- Is derived from
- Software: 10.5281/zenodo.4584450 (DOI)