pyLowOrder 1.3.5

High-performance low-order modeling with Python

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 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

Bibtex

@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},
}

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.