hIPPYlib - Inverse Problem PYthon library

hIPPYlib implements state-of-the-art scalable adjoint-based algorithms for PDE-based deterministic and Bayesian inverse problems. It builds on FEniCS for the discretization of the PDE and on PETSc for scalable and efficient linear algebra operations and solvers.

Features

See also our tutorial and list of related publications.

Announcements

Latest Release

Contact

Developed by the hIPPYlib team at UT Austin and UC Merced.

To ask question and find answers see here.

Please cite with

@article{VillaPetraGhattas2016,
title = "{hIPPYlib: an Extensible Software Framework for Large-scale Deterministic and Linearized Bayesian Inversion}",
author = {Villa, U. and Petra, N. and Ghattas, O.},
year = {2016},
url = {http://hippylib.github.io}
}