Showing 2026Show all
2 papers · 1 filter
math.NA2026
Samplet compression for conditionally positive definite kernels and universal Kriging
Sara Avesani, Rüdiger Kempf, Michael Multerer +1
We present a samplet-based framework for the efficient numerical solution of saddle-point systems arising from conditionally positive definite (CPD) kernel approximation in general…
math.NA2026
Nodal Representations for Kernel-Based Multilevel Interpolation
Lorenz Gollwitzer, Rüdiger Kempf, Holger Wendland
We study the kernel-based multilevel method for approximating or learning a multivariate function from scattered data, motivated in part by recent applications in sparse grid metho…