InverseProblemsPDE

A Guided research project on Solving Inverse problems in PDE using Deep learning SS2019.

Setup

Please follow the following procedure to prepare the environment.

Python Version 3 check with: python3 --version Python venv should be installed
virtualenv installed virtualenv -h If not installed install on linux with: sudo apt update && sudo apt install virtualenv

Install Miniconda and get started by initiating a virtual environment for installing fenics conda install -c conda-forge fenics (Instead of fenics you can give your own environment name)
Activate the environment now conda activate fenics
Install Dependencies ` pip install -r requirements.txt

Name		Name	Last commit message	Last commit date
Latest commit History 27 Commits
Fenics-getting started		Fenics-getting started
Model		Model
Trial		Trial
__pycache__		__pycache__
data		data
Experiments.ipynb		Experiments.ipynb
LICENSE		LICENSE
Model.ipynb		Model.ipynb
README.md		README.md
Runtime Comparison experiment.ipynb		Runtime Comparison experiment.ipynb
data_generator.ipynb		data_generator.ipynb
data_generator.py		data_generator.py
dataloader.py		dataloader.py
delx values experiments.ipynb		delx values experiments.ipynb
requirements.txt		requirements.txt
time_fenics.txt		time_fenics.txt
time_neural.txt		time_neural.txt
time_neural15.txt		time_neural15.txt
time_neural30.txt		time_neural30.txt
train_test_split.py		train_test_split.py