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Krzysztof Marchlewski, ZA, MEiL, Application of Gaussian Processes in Uncertainty Quantification and Optimization
Application of Gaussian Processes in Uncertainty Quantification and Optimization
Engineers always knew that designed objects cannot be manufactured in a full accordance
with a project. Nevertheless, progress in numerical methods and growing availability of
high-performance computers are the factors which allowed engineers to incorporate the
uncertainties and their lack of knowledge in a design process.
In this presentation, we will show how to utilize the Gaussian Processes in a process of
uncertainty quantification and later optimisation. The method is particularly useful in
solving computationally and time demanding tasks.