Sequential Designs for Filling Output Spaces
Methodology
2023-09-08 v1 Applications
Abstract
Space-filling designs are commonly used in computer experiments to fill the space of inputs so that the input-output relationship can be accurately estimated. However, in certain applications such as inverse design or feature-based modeling, the aim is to fill the response or feature space. In this article, we propose a new experimental design framework that aims to fill the space of the outputs (responses or features). The design is adaptive and model-free, and therefore is expected to be robust to different kinds of modeling choices and input-output relationships. Several examples are given to show the advantages of the proposed method over the traditional input space-filling designs.
Cite
@article{arxiv.2305.07202,
title = {Sequential Designs for Filling Output Spaces},
author = {Shangkun Wang and Adam P. Generale and Surya R. Kalidindi and V. Roshan Joseph},
journal= {arXiv preprint arXiv:2305.07202},
year = {2023}
}
Comments
36 pages, 12 figures