| Name | pyLowOrder JSON |
| Version |
1.3.5
JSON |
| download |
| home_page | https://github.com/ArnauMiro/pyLowOrder |
| Summary | High-performance low-order modeling with Python |
| upload_time | 2024-03-13 11:38:09 |
| maintainer | Benet Eiximeno, Arnau Miro |
| docs_url | None |
| author | Benet Eiximeno, Beka Begiashvili, Arnau Miro, Eusebio Valero, Oriol Lehmkuhl |
| requires_python | >=3.7 |
| license | MIT License Copyright (c) Python Low Order Modelling Library Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
| keywords |
low-order
modeling
pod
dmd
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
numpy
cython
mpi4py
matplotlib
h5py
nfft
ensight-reader
pyvista
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
[](https://github.com/ArnauMiro/UPM_BSC_LowOrder/actions)
[](https://github.com/ArnauMiro/UPM_BSC_LowOrder/actions)
[](https://github.com/ArnauMiro/UPM_BSC_LowOrder/actions)
[](https://opensource.org/licenses/mit)
[](https://doi.org/10.5281/zenodo.10598565)
# pyLOM
This tool is a port of the POD/DMD of the tools from UPM in MATLAB to C/C++ using a python interface. So far POD, DMD and sPOD are fully implemented and work is being done to bring hoDMD and VAEs inside the tool.
Please check the [wiki](https://github.com/ArnauMiro/pyLowOrder/wiki) for instructions on how to deploy the tool.
## Cite the repo!
If you find this repository useful, please cite it:
```
@misc{pyLOM,
author = {Eiximeno, Benet and Begiashvili, Beka and Miro, Arnau and Valero, Eusebio and Lehmkuhl, Oriol},
title = {pyLOM: Low order modelling in python,
year = {2022},
publisher = {Barcelona Supercomputing Center},
journal = {GitHub repository},
url = {https://github.com/ArnauMiro/UPM_BSC_LowOrder},
}
```
The POD formulation used in this tool can be found in the following paper:
Eiximeno, B., Miró, A., Cajas, J.C., Lehmkuhl, O., Rodriguez, I., 2022. On the Wake Dynamics of an Oscillating Cylinder via Proper Orthogonal Decomposition. Fluids 7, 292. https://doi.org/10.3390/fluids7090292
<details><summary>Bibtex</summary>
<p>
```
@article{eiximeno_wake_2022,
title = {On the {Wake} {Dynamics} of an {Oscillating} {Cylinder} via {Proper} {Orthogonal} {Decomposition}},
volume = {7},
issn = {2311-5521},
doi = {10.3390/fluids7090292},
number = {9},
journal = {Fluids},
author = {Eiximeno, Benet and Miró, Arnau and Cajas, Juan Carlos and Lehmkuhl, Oriol and Rodriguez, Ivette},
year = {2022},
pages = {292},
}
```
</p>
</details>
## Acknowledgements
The research leading to this software has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 956104. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and Spain, France, Germany.
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"author": "Benet Eiximeno, Beka Begiashvili, Arnau Miro, Eusebio Valero, Oriol Lehmkuhl",
"author_email": "Benet Eiximeno <benet.eiximeno@bsc.es>, Beka Begiashvili <beka.begiashvili@alumnos.upm.es>, Arnau Miro <arnau.mirojane@bsc.es>, Eusebio Valero <eusebio.valero@upm.es>, Oriol Lehmkuhl <oriol.lehmkuhl@bsc.es>",
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