20180724
This talk discusses entropy structures for partial differential equations, and how they can be used for efficient HPC computations, and uncertainty quantification. Especially, we recall the entropyentropy flux structure of hyperbolic conservation laws describing macroscopic flows, and how this structure is inherited from underlying mesoscopic models for particle transport. We investigate the numerical solution of generalized entropy closures, and discuss their suitability for modern computer architectures. Lastly, we show that entropybased methods are suitable for uncertainty quantification, as they overcome the loss of hyperbolicity in standard generalized polynomial chaos stochastic Galerkin methods.
Category: CE SeminarTechnische Universität Darmstadt
Graduate School CE
Dolivostraße 15
D64293 Darmstadt

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