During the UNCECOMP 2019 conference, the minisymposium “Surrogate models: benchmark problems and solutions” offered not only interesting talks but also lively discussions regarding benchmark models for UQ and surrogate modelling purposes and how to be shared among the members of the UQ community. In my opinion, UQWorld is the venue to do so. Therefore, I would like to share with you the following:
- The “Virtual Library for Simulation Experiments” of the Simon Fraser University (SFU) (https://www.sfu.ca/~ssurjano/index.html) offers a number of test functions and datasets for UQ, optimization, prediction, or other studies. MATLAB and R implementations are available for most models.
- In my Github page (https://github.com/dlouk/UQ_benchmark_models), I have collected a number of models that I have used and still use to test my own UQ codes. All models are given in Python.