how does griddata asses duplicates?
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    Valeria Leto
 am 10 Feb. 2022
  
    
    
    
    
    Bearbeitet: Adam Danz
    
      
 am 11 Feb. 2022
            Hi! I would like to understand how griddata asses duplicate point. I opened the function and I found this section:
%Need x,y and z to be column vectors
sz = numel(x);
x = reshape(x,sz,1);
y = reshape(y,sz,1);
v = reshape(v,sz,1);
myepsx = eps(0.5 * (max(x) - min(x)))^(1/3);
myepsy = eps(0.5 * (max(y) - min(y)))^(1/3);
% look for x, y points that are indentical (within a tolerance)
% average out the values for these points
if isreal(v)
    xyv = builtin('_mergesimpts', [y, x, v], [myepsy, myepsx, Inf], 'average');
    x = xyv(:,2);
    y = xyv(:,1);
    v = xyv(:,3);  
could somebody explain me 
xyv = builtin('_mergesimpts', [y, x, v], [myepsy, myepsx, Inf], 'average');
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  Adam Danz
    
      
 am 10 Feb. 2022
        
      Bearbeitet: Adam Danz
    
      
 am 11 Feb. 2022
  
      That line calls Matlab's built-in static method or function matlab.internal.math.mergesimpts(). The comments describe what it's doing.  It takes the x y v vectors and defines tolerance levels for each variable (myepsy, myepsx, Inf).  The tolerance levels define which values are "identical" or "close enough to be identical".  Identical values are then averaged to get rid of (near) duplicates.  
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