I'm looking for the adequate numerical interpolation technique to solve the following problem. This is probably trivial for physicists who study gravitational fields, but I didn't find clear answers in the literature.
I'm in a high dimensional space (theoretically infinite but numerically finite). I have a fair number of trajectories in this space from which I extract acceleration with second order forward finite differences. Now I want to smoothly interpolate these local accelerations to obtain a "gravitational like" force field in this space.
As the dimensionality is pretty high, I would tend to choose a mesh-free technique, and at first I was going for a vector version of RBF interpolation, or at least a component-wise version. Moreover, as the data is unevenly distributed, that seemed like a good solution. I found some sources explaining that RBF interpolation is not the right method for gravitational force field interpolation, because it is too "local". So I'm still looking for the state of the art technique for this problem.
I assume this type of interpolation is quite common in gravitational physics in low dimension and that the problem generalizes well to high dimension. But even for low dimensional spaces, I can't find any decisive source.
Anything in mind ?