https://github.com/marvinpfoertner/linpde-gp
Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"
https://github.com/marvinpfoertner/linpde-gp
collocation-method finite-element-method galerkin-method gaussian-processes partial-differential-equations probabilistic-numerics
Last synced: 22 days ago
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Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"
- Host: GitHub
- URL: https://github.com/marvinpfoertner/linpde-gp
- Owner: marvinpfoertner
- License: mit
- Created: 2022-09-21T09:07:39.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2024-04-26T22:19:42.000Z (about 2 years ago)
- Last Synced: 2025-12-16T15:47:12.529Z (5 months ago)
- Topics: collocation-method, finite-element-method, galerkin-method, gaussian-processes, partial-differential-equations, probabilistic-numerics
- Language: Python
- Homepage: https://arxiv.org/abs/2212.12474
- Size: 5.63 MB
- Stars: 30
- Watchers: 2
- Forks: 5
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Citation: CITATION.cff
- Codeowners: .github/CODEOWNERS
Awesome Lists containing this project
README
# LinPDE-GP: Linear PDE Solvers based on GP Regression
Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"
## Getting Started
### Cloning the Repository
This repository includes Git submodules, so it is best cloned via
```shell
git clone --recurse-submodules git@github.com:marvinpfoertner/linpde-gp.git
```
If you forgot the `--recurse-submodules` flag when cloning, simply run
```shell
git submodule update --init --recursive
```
inside the repository.
### Installing a Full Development Environment
```shell
cd path/to/linpde-gp
pip install -r dev-requirements.txt
```
## Citation
If you use this software, please cite our paper.
```bibtex
@misc{Pfoertner2022LinPDEGP,
author = {Pf\"ortner, Marvin and Steinwart, Ingo and Hennig, Philipp and Wenger, Jonathan},
title = {Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers},
year = {2022},
publisher = {arXiv},
doi = {10.48550/arxiv.2212.12474},
url = {https://arxiv.org/abs/2212.12474}
}
```