This is a python implementation of a optimization-based estimation of the EIT problem, using PDE constrained optimization, without regularization.

-numpy (with MKL backend)

-scipy

-numba

-pypardiso

For some of the examples the scipy.io library to extract the data (already contained in the tests folder)

To install just go to the main directory and install as usual:

python setup.py install

This will install the package on your local python environment (we strongly recommend to create a virtual environment before hand)

We have added a context.py script in the test folder, this would allow to run the test files without having to install the package on your local environment.