3 citations · 6 across the 17 of their papers we have counts for
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math.NA2018
Kernel-based stochastic collocation for the random two-phase Navier-Stokes equations
Michael Griebel, Christian Rieger, Peter Zaspel
In this work, we apply stochastic collocation methods with radial kernel basis functions for an uncertainty quantification of the random incompressible two-phase Navier-Stokes equa…
cs.LG2018
Optimally rotated coordinate systems for adaptive least-squares regression on sparse grids
Bastian Bohn, Michael Griebel, Jens Oettershagen
For low-dimensional data sets with a large amount of data points, standard kernel methods are usually not feasible for regression anymore. Besides simple linear models or involved…
math.NA2018
Stochastic subspace correction methods and fault tolerance
Michael Griebel, Peter Oswald
We present convergence results in expectation for stochastic subspace correction schemes and their accelerated versions to solve symmetric positive-definite variational problems, a…