Uncertainty Quantification
Uncertainty quantification (UQ) is the science of quantitative characterization and reduction of uncertainties in applications. It tries to determine how likely certain outcomes are if some aspects of the system are not exactly known. An example would be to predict the acceleration of a human body in a head-on crash with another car: even if we exactly knew the speed, small differences in the manufacturing of individual cars, how tightly every bolt has been tightened, etc., will lead to different results that can only be predicted in a statistical sense.
Many problems in the natural sciences and engineering are also rife with sources of uncertainty. Computer simulation modeling is the most commonly used approach to study problems in uncertainty quantification.
Read more about Uncertainty Quantification: Sources of Uncertainty, Two Types of Uncertainty Quantification Problems, Selective Methodologies For Uncertainty Quantification, Known Issues
Famous quotes containing the word uncertainty:
“I think the worst thing this nation could do for humanity would be to leave any uncertainty as to our will, our purpose and our capacity to carry out our purpose.”
—Hubert H. Humphrey (1911–1978)