Publications
Ridge approximation and dimension reduction for an acoustic scattering model
Problems in uncertainty quantification (UQ) suffer from the curse of dimensionality. One approach to address this issue is to identify and exploit low-dimensional structure in the underlying model. In this paper, we show that low-dimensional active subspaces are not present in a particular model arising from acoustic scattering. This suggests that UQ techniques based on active subspaces are not appropriate for this problem.