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2018
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beckerfloh@gmail.com

Karlsruhe Institute of Technology



PCE.jl - Towards a Julia Package for Polynomial Chaos Expansion

PCE.jl - Towards a Julia Package for Polynomial Chaos Expansion

Uncertainties and inaccuracies pervade all kinds of models that are derived from experimental data. Introducing random variables into the governing equations of a dynamical system is one way to describe the inherent uncertainty. A polynomial chaos expansion (PCE) of a random variable is a spectral representation in terms of an orthogonal polynomial basis and can be used as a technique for uncertainty quantification and uncertainty propagation. This poster announces PCE.jl, a Julia Package for uncertainty quantification that was part of my masters thesis at the Optimization & Control Group at KIT, Germany.

Speaker's bio

Hey, my name is Florian and I’m from Karlsruhe, Baden-Württemberg, Southern Germany. I studied cognitive and computer science in Tübingen and Karlsruhe and next month I am starting a Phd in CS at KIT. I am interested in numerical computing, image processing and beer :) I once climbed a mountain near Reykjavik while it was hailing and I will never do it again.

My favorite member of One Direction is, of course, Louis Tomlinson.