research

Implementation of Data-Consistent Inversion.

Computational Advances in Data-Consistent Inversion.

Uncertainty Quantification and Inverse Problems.

The testing of any scientific hypothesis requires collecting data. What to measure, when, and with what equipment all affect our predictive capabilities. Measurements are fundamentally uncertain, and handling these errors is of paramount …

A novel framework for stochastic inverse problems.

Subsurface Contaminant Transport.

An Investigation into Accuracy.

First formal software development.

Parameter Identification with Push-forward Measures.

From a mutation to the norm, but how?