A novel class of stabilized greedy kernel approximation algorithms: Convergence, stability & uniform point distribution

Tizian Wenzel, Gabriele Santin, Bernard Haasdonk

Kernel based methods provide a way to reconstruct potentially high-dimensional functions from meshfree samples, i.e., sampling points and corresponding target values. A crucial ing…