This repository contains the Python based implementation of the Multivariate Sensitivity Adaptive (MVSA) Polynomial Chaos Expansion (PCE) method, which is described in the paper "Multivariate sensitivity adaptive polynomial chaos expansion for vector valued surrogate modeling" by D. Loukrezis, E. Diehl, and H. De Gersem, available at https://arxiv.org/abs/2310.09871. Please cite this work, in case you use and/or refer to the MVSA PCE method and/or related software.
@article{loukrezis2023multivariate,
title={Multivariate sensitivity adaptive polynomial chaos expansion for vector valued surrogate modeling},
author={Loukrezis, Dimitrios and Diehl, Eric and De Gersem, Herbert},
journal={arXiv preprint arXiv:2310.09871},
year={2023},
}
The present software and the related examples rely partially on the OpenTURNS C++/Python library.
- http://www.openturns.org/
- Open TURNS: An industrial software for uncertainty quantification in simulation, https://arxiv.org/abs/1501.05242