Uncertainty qualification in simulations
CitationHussaini, M. Y. (2009). Uncertainty qualification in simulations. International Conference on Mathematical Sciences, Maltepe Üniversitesi. s. 26-27.
Uncertainty in simulations is due to the stochastic nature of geometric and physical parameters, the indeterminate nature of initial/boundary conditions, and the inadequacy of physical models coupled with discretization errors. These uncertainties can be classi¯ed into two types: parametric (aleatory) and model form (epistemic). Whereas probability theory can deal with parametric uncertainty, some generalization of probability theory is required to deal with the model form of uncertainty. Among the generalizations of probability theory, evidence theory is relatively well-developed. The presentation will briefly discuss some techniques based on these theories to quantify uncertainty in the context of some representative problems.
SourceInternational Conference on Mathematical Sciences
- Makale Koleksiyonu 
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