Saving an interpolated function to an m-file
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Julius de Hond
el 19 de Oct. de 2019
Comentada: Ethan Duckworth
el 12 de Jul. de 2021
I have some complicated function that I have interpolated using interp1() so that evaluating it is much faster. I would like the result of this interpolation to be available systemwide by saving it as a function in an .m-file. An example:
xd = -1:0.01:1;
yd = xd.^2;
f = @(x) interp(xd, yd, x);
Is there a way to save the result f to f.m such that I can evaluate f(x) anywhere?
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Sai Bhargav Avula
el 22 de Oct. de 2019
Hi,
To my understanding, you want to save the custom interpolation as function to be available for further evaluation.
For that you can write the code as a MATLAB function.
Here is a sample version for the example code you provided
function res = f(x)
xd = -1:0.01:1;
yd = xd.^2;
res = interp(xd, yd, x);
end
Hope this helps.
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Ethan Duckworth
el 12 de Jul. de 2021
I'm not positive, but I doubt you can save anything (memory, speed, etc.) by deleting the data and somehow keeping the function. The interp1 function by default uses linear interpolation, so suppose you had a million data points, and formed the interpolating function. The function itself would have something equivalent in size to the million data points built into the definition/formulas for the function! Of course, you can put the data inside the function file, and not keep it in the workspace.
On the other hand, you might be able to get a more compact/efficient regression function and throw the data away.
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