UncertaintyQuantifizierung
UncertaintyQuantifizierung, often abbreviated as UQ, is the field dedicated to the mathematical treatment and assessment of the uncertainty that arises in computational modeling and data analysis. It acknowledges that model predictions and data interpretations are rarely exact and instead are subject to various sources of error and variability.
The primary goal of UQ is to identify, characterize, and quantify these uncertainties. This involves understanding
Key methods within UQ include sensitivity analysis, which determines how much each source of uncertainty contributes
The results of UQ are crucial for informed decision-making. By understanding the range of possible outcomes