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
git clone --recurse-submodules git@github.com:marvinpfoertner/linpde-gp.git
If you forgot the --recurse-submodules flag when cloning, simply run
git submodule update --init --recursive
inside the repository.
Installing a Full Development Environment
cd path/to/linpde-gp
pip install -r dev-requirements.txt
Citation
If you use this software, please cite our paper.
@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}
}
Release files for linpde-gp 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| linpde_gp-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Release files / linpde_gp-0.0.1-py3-none-any.whl
| Download URL | linpde_gp-0.0.1-py3-none-any.whl |
|---|---|
| Size | 100.9 kB |
| Tags | Python 3 |
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