mpimd-csc/nse-opinf-poddmd

Basic routines and examples for Operator Inference, DMD, and POD for incompressible Navier-Stokes equations.

Operator Inference and Data-Informed MOR for the Incompressible NSE

This is the code that accompanies the preprint

Benner, Goyal, Heiland, Pontes (2020): Operator inference and Physics-based learning of low-dimensional model for incompressible flows

The sources are in nse_opinf_poddmd.

The scripts that produce the numerical results and the plots of the paper are in scripts.

Examples of Operator Inference / POD / DMD

cd scripts
source setpypath.sh
python3 main_opting_cwdc.py

Reproducing the Data and Plots of the paper

cd scripts
source runme.sh

The plots are then found in scripts/Figures/.

Rerun the Mesh Check

cd scripts
source setpypath
python3 convergence_tests.py

Versions

• tag 1.0 initial version (as in https://arxiv.org/abs/2010.06701)
• tag 1.1 first revision (with splitting the data for testing and prediction)