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The OpenTURNS uncertainty quantification Python module

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The OpenTURNS uncertainty quantification Python module
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43
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CC Attribution 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Production PlaceErlangen, Germany

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Abstract
Uncertainty quantification is a set of methods which aim at estimating the uncertainties of engineering systems in order to mitigate risks. OpenTURNS is an open source C++ library for uncertainty propagation by probabilistic methods. However, most OpenTURNS users know its Python interface, which has gained maturity thanks to more than 10 years of development. In this talk, we will present an overview of its interesting features, including the link with other Python packages. In order to get a sense of what exactly OpenTURNS can do, we will present practical examples of the Python interface.