Thanks for the great tool. Trying to find a way around "pull ins" when the regularizer has a significant low spatial frequency bias over extended areas... for example, around the top of a higly resolved gaussian peak with 'gradient'. Using a higher order regularizer doesn't help (I've implemented a 4th order gradient): that just gives a surface that's highly "puckered" around indiviual sample errors. Any ideas?
I'm trying to make a surface approximation to describe the required input torque to drive a hydraulic motor operating under certain load conditions. My inputs are: output flow, output pressure and input shaft speed. I have scattered measurement data where the relationship between these variables are to be found. I read in some of the earlier posts that gridfit could be extended to higher-dimension fits. Do you have any version where a 3rd dimension can be included that I could try?
10 Feb 2014
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Gridfit is very nice. I have written an update that adds bicubic interpolation and improves the internal scaling (makes surface smoothness completely independent of the x/y grid size). If I send you the code, would you update Gridfit?