From 469faa8c659ceb29c8a27ff93363fcbec4720a4a Mon Sep 17 00:00:00 2001 From: Your Name Date: Wed, 16 Feb 2022 14:05:24 +0100 Subject: [PATCH] update README --- README.md | 13 ++++++++----- 1 file changed, 8 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index c99bab4..ca92662 100644 --- a/README.md +++ b/README.md @@ -32,13 +32,13 @@ * [Dependencies and installation](#dependencies-and-installation) * [Installing via PIP](#installing-via-pip) * [Installing from source](#installing-from-source) -* [Documentation](#documentation) -* [Testing](#testing) + + * [Examples and Tutorials](#examples-and-tutorials) -* [Awards](#awards) + * [How to cite](#how-to-cite) * [References](#references) - * [Recent works with PyDMD](#recent-works-with-pydmd) + * [Authors and contributors](#authors-and-contributors) * [How to contribute](#how-to-contribute) * [Submitting a patch](#submitting-a-patch) @@ -103,7 +103,10 @@ The directory `Examples` contains some examples showing Poisson and Burgers prob ### References To implement the package we follow these works: -* Kutz, Brunton, Brunton, Proctor. *Dynamic Mode Decomposition: Data-Driven Modeling of Complex Systems*. SIAM Other Titles in Applied Mathematics, 2016. [[DOI](https://doi.org/10.1137/1.9781611974508)] [[bibitem](readme/Kutz2016_1.bib)]. +* Raissi, Maziar, Paris Perdikaris, and George E. Karniadakis. + *Physics-informed neural networks: A deep learning framework for solving + forward and inverse problems involving nonlinear partial differential + equations.* Journal of Computational Physics 378 (2019): 686-707. ## Authors and contributors