PyOED: An Extensible Suite for Data Assimilation and Model-Constrained Optimal Design of Experiments

Understand

This paper describes PyOED, a highly extensible scientific package that enables developing and testing model-constrained optimal experimental design (OED) for inverse problems.

• Specifically, PyOED aims to be a comprehensive Python toolkit for model-constrained OED.
• The package targets scientists and researchers interested in understanding the details of OED formulations and approaches.
• It is also meant to enable researchers to experiment with standard and innovative OED technologies with a wide range of test problems (e.g., simulation models).