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.
how does griddata asses duplicates?
2 次查看(过去 30 天)
显示 更早的评论
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');
0 个评论
采纳的回答
更多回答(0 个)
另请参阅
产品
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!