TRENDy (Temporal Regression of Effective Nonlinear Dynamics)

Reduced-order modeling for bifurcations in PDEs

Install

Create a new conda virtual environment:

conda create -n trendy python=3.8

Activate the newly created environment:

conda activate trendy

Install this repo

For production usage:

pip install git+https://github.com/nitzanlab/trendy.git     # if you like to use git over https

OR for development usage:

git clone https://github.com/nitzanlab/trendy.git     # if you like to use git over https

pip install -e trendy

Solving a PDE:

pde = PDE(<pde_name>) # e.g. <pde_name> = 'GrayScott'
solution = pde.run()

PDE names are found in ./trendy/data/pde_configurations.json