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https://github.com/kamilazdybal/ROM-of-reacting-flows-Springer

Programming examples shown in "Reduced-order modeling of reacting flows using data-driven approaches" (2022) Springer
https://github.com/kamilazdybal/ROM-of-reacting-flows-Springer

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Programming examples shown in "Reduced-order modeling of reacting flows using data-driven approaches" (2022) Springer

Host: GitHub
URL: https://github.com/kamilazdybal/ROM-of-reacting-flows-Springer
Owner: kamilazdybal
Created: 2022-01-24T11:09:52.000Z (over 2 years ago)
Default Branch: main
Last Pushed: 2023-02-06T20:42:59.000Z (over 1 year ago)
Last Synced: 2024-02-11T00:22:20.966Z (5 months ago)
Language: Jupyter Notebook
Size: 3.52 MB
Stars: 9
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

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awesome-machine-learning-fluid-mechanics - Reduced-order modeling of reacting flows using data-driven approaches - Notebook example for the data driven modeling. (Opensource codes, tutorials and examples / Others)

README

        This repository is licensed under: [![License: CC BY-NC 4.0](https://img.shields.io/badge/License-CC%20BY--NC%204.0-lightgrey.svg)](https://creativecommons.org/licenses/by-nc/4.0/)

# Programming examples for [*Reduced-order modeling of reacting flows using data-driven approaches*](https://link.springer.com/chapter/10.1007/978-3-031-16248-0_9)

This repository contains programming examples shown in the open-access book chapter:

> K. Zdybał, M. R. Malik, A. Coussement, J. C. Sutherland, A. Parente, *Reduced-order modeling of reacting flows using data-driven approaches* (2023) Springer.

The book chapter PDF can be downloaded [here](https://link.springer.com/content/pdf/10.1007/978-3-031-16248-0_9.pdf?pdf=inline%20link).

You can access the Jupyter notebook through:

- [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/kamilazdybal/ROM-of-reacting-flows-Springer/main?labpath=PCAfold-programming-examples.ipynb)

- [**nbviewer**](https://nbviewer.org/github/kamilazdybal/ROM-of-reacting-flows-Springer/blob/main/PCAfold-programming-examples.ipynb)