GRK 1932: Stochastic Models for Innovations in the Engineering Sciences

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Many engineering disciplines have reached a point at which the emerging challenges can no longer be tackled with the traditional deterministic mathematical models and methods. Recent advances in areas such as miniaturisation, new materials and the increased complexity of manufacturing processes are characterised by an increasing number of non-negligible random effects. Thus, the Research Training Group focusses on the main resulting challenges with regard to their mathematical treatment: the development, implementation and improvement of stochastic models to be used in particular applications in the engineering sciences.