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An Introduction to Uncertainty Quantification

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Today, uncertainty quantification (UQ) is a popular research area that combines applied mathematics, numerical analysis, probability, statistics and applications. UQ is a broad phrase that encompasses methods for taking account of uncertainties that arise when we use mathematical and computer models to simulate real-world phenomena and make predictions. The models we learn about as undergraduates are simplifications of real world processes and, even if we were able to solve them exactly, we rarely have access to all the inputs required in practice. In this talk I will discuss a few key challenges in UQ from the perspective of a numerical analyst.

This talk is part of the Emmy Noether Society series.

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