To approximate functions of a single variable by using linear interpolation is routine in empirical studies. Here, we consider approximating functions of several variables in a similar piecewise ...

Multivariate approximation in Hilbert spaces is a rapidly evolving field that addresses the challenges of approximating functions of several variables in settings where the underlying function ...

Neural networks for multivariable function approximation & classification. "GeneralGuide.mlx" provide a general workflow and detailed instructions on how to configure the solver. If you are not ...

Additionally, foundational work on the tractability of multivariate approximation in weighted Hilbert spaces with exponential weights continues to influence current research by offering necessary ...