Bayesian Probabilistic Numerical Methods in Time-Dependent State Estimation for Industrial Hydrocyclone Equipment
Electrode data for laboratory experiment intended to mimic industrial hydrocyclone equipment.
These data are hosted on the public GitHub site along with the code used in this work.
The authors were involved in the production of these data, which is not under any form of restriction or copyright.
Python code to implement probabilistic numerical methods and to reproduce all experiments.
Available on the public GitHib site, with no restrictions.
Each experiment is contained in an iPython notebook and full scripts to reproduce each experiment are included.
All figures from paper can be reproduced from the scripts that are provided. In each case a notebook it provided to show exactly how each result was obtained.
Software can be downloaded from GitHub for use in other contexts.