Ernst, Oliver and Nobile, Fabio and Schillings, Claudia and Sullivan, Tim
(2020)
*Uncertainty quantification.*
Oberwolfach Reports, 16
(1).
pp. 695-772.

Full text not available from this repository.

## Abstract

Uncertainty quantification (UQ) is concerned with including and characterising uncertainties in mathematical models. Major steps comprise proper description of system uncertainties, analysis and efficient quantification of uncertainties in predictions and design problems, and statistical inference on uncertain parameters starting from available measurements. Research in UQ addresses fundamental mathematical and statistical challenges, but has also wide applicability in areas such as engineering, environmental, physical and biological applications. This workshop focussed on mathematical challenges at the interface of applied mathematics, probability and statistics, numerical analysis, scientific computing and application domains. The workshop served to bring together experts from those disciplines in order to enhance their interaction, to exchange ideas and to develop new, powerful methods for UQ.

Item Type: | Article |
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Subjects: | Mathematical and Computer Sciences > Mathematics > Applied Mathematics |

Divisions: | Department of Mathematics and Computer Science > Institute of Mathematics > Deterministic and Stochastic PDEs Group |

ID Code: | 2985 |

Deposited By: | Ulrike Eickers |

Deposited On: | 26 May 2023 08:01 |

Last Modified: | 26 May 2023 08:09 |

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