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  • $\begingroup$ Interesting improvement of my answer! Stil I don't understand, why your weights( actually commented out) only take place in the spa matrix and not in a generalized Pseudoinverese $\endgroup$ Commented Jan 22 at 9:50
  • $\begingroup$ @UlrichNeumann It's there, see PseudoInverse[(*wlst*)? :) $\endgroup$ Commented Jan 22 at 9:52
  • $\begingroup$ @UlrichNeumann Code updated, now the weight function can be easily tested by adding a fifth argument to matGFDM. $\endgroup$ Commented Jan 22 at 10:18
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    $\begingroup$ I tried weighted approach too, with weights, depending on the inverse distance 1/Sqrt[(xi-xj)^2+(yi-yj)^2] but the results are discouraging. Equal results if number of neighbors is smaller than the number of taylorterms. Worse results if the number of neighbors is greater. $\endgroup$ Commented Jan 22 at 16:54
  • $\begingroup$ @UlrichNeumann The paper sciencedirect.com/science/article/pii/0045794980901492 uses $\frac{1}{d^3}$ where $d$ is the distance, but according to my test, it doesn't seem to be great, either… Once again, I'm not sure if I've missed something. $\endgroup$ Commented Jan 23 at 8:12