33 citations · 60 across the 6 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
math.NA2019★ 4 cited
Learning multivariate functions with low-dimensional structures using polynomial bases
Daniel Potts, Michael Schmischke
In this paper we propose a method for the approximation of high-dimensional functions over finite intervals with respect to complete orthonormal systems of polynomials. An importan…
math.NA2019★ 33 cited
Approximation of high-dimensional periodic functions with Fourier-based methods
Daniel Potts, Michael Schmischke
In this paper we propose an approximation method for high-dimensional -periodic functions based on the multivariate ANOVA decomposition. We provide an analysis on the classical…