Titlebook: Recent Trends in Computational Engineering - CE2014; Optimization, Uncert Miriam Mehl,Manfred Bischoff,Michael Sch?fer Book 2015 Springer I

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Scalable Kernel Methods for Uncertainty Quantification the literature with a focus on methods for uncertainty quantification and we discuss computational challenges related to kernel methods. In particular, we focus on approximating kernel matrices, one of the main computational bottlenecks in kernel methods. The most popular method for constructing ap

FOVEA

Extort

Lipoma

厚臉皮

偽證

出來

initiate

dissent

Fluid-Acoustics Interaction on Massively Parallel Systemsuler equations in the far-field. This allows us to separate the critical scales and treat each domain with an individual discretization. Both fields are computed by the high-order discontinuous Galerkin solver Ateles, while we couple the solvers at the interface by the library preCICE. We discuss a