2 papers
math.NA2026
Improved Convergence of Multilevel Moving Least-Squares Approximation
Robert Durst, Holger Wendland
Moving least-squares approximation is a popular method for approximating multivariate functions from given discrete data. For higher accuracy higher degree polynomials have to be u…
math.NA2026
Kernel-based learning of manifold-to-manifold maps from scattered data
Daniel Fischer, Holger Wendland
We describe and analyze new methods for approximating manifold-to-manifold maps using only scattered data information. To this end, we first study kernel-based approximation method…