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Friday, 19 Apr 2019
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Uncertainty quantification @ MdS
From Tuesday 20 May 2014 -  08:00
To Thursday 22 May 2014 - 17:00
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Uncertainty in computer simulations, deterministic and probabilistic methods for quantifying uncertainty, OpenTurns software, Uranie software

Content
Uncertainty quantification takes into account the fact that most inputs to a simulation code are only known imperfectly. It seeks to translate this uncertainty of the data to improve the results of the simulation. This training will introduce the main methods and techniques by which this uncertainty propagation can be handled without resorting to an exhaustive exploration of the data space. HPC plays an important role in the subject, as it provides the computing power made necessary by the large number of simulations needed.
The course will present the most important theoretical tools for probability and statistical analysis, and will illustrate the concepts using the OpenTurns software.

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