This repository provides the code of our recent paper "Bayesian Optimization of Functional Output in Inverse Problems" submitted to the Optimization and Engineering special issue on "Optimization Methods in Inverse Problems and Applications to Science and Engineering".
The data/ directory contains the experimental data of the VPI process collected by Ren et al. (2021), including both the 8.7 Torr and 10.5 Torr experiments. The scripts/ directory contains the code fbo.R for our proposed BOFO, Bayesian Optimization of Functional Output, along with the three other comparison methods, random.R for random sampling, sbo.R for standard Bayesian optimization, and sbo_log.R for Bayesian optimization with log Normal predictive distribution. The numerical comparison of the aforementioned approaches on the synthetic examples can be found in comparison.R. Last, TMA_PMMA.m is the MATLAB code for the reaction-diffusion model of the VPI process proposed in Ren et al. (2021). See Reaction Diffusion Model github repository for more details. Last, results/ directory contains selected results, including the maxpro design maxpro_design.csv by scripts/maxpro.R, the best design best_design.txt found by BOFO, the 8.7 Torr outcome by the best design best_design_8.7Torr.txt, and the 10.5 Torr outcome by the best design best_design_10.5Torr.txt.