/PoPEx

Parallelized Adaptive Importance Sampling for Solving Inverse Problems

Primary LanguagePython

Documentation Status CircleCI Workflow for Codecov codecov PyPI version

PoPEx Python3 Package

This python3 package is an implementation of the parallelized adaptive importance sampler. PoPEx is a robust method to solve the inverse problem when the parameters are categorical (such as rock types) and when a prior geostatistical model is defined.

The method is described in detail in the following references:

  • Jäggli C, Straubhaar J and Renard P (2018) Parallelized Adaptive Importance Sampling for Solving Inverse Problems. Front. Earth Sci. 6:203. doi: 10.3389/feart.2018.00203
  • Jäggli, C., Straubhaar, J., and Renard, P. (2017). Posterior population expansion for solving inverse problems. Water Resour. Res. 53, 2902–2916. doi: 10.1002/2016WR019550

Documentation

Find the documentation of the package under https://popex.readthedocs.io