Interpolating data in 1D with 2D sample points and a 2D matrix

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Jose Luis Villaescusa Nadal
回答： Vijay 2022-12-30
I have a matrix of Temperatures ( T - [120xN] ) at different heights ( H - [120xN] ). I want to obtain the Temperatures at a set vector of heights ( Hnew - [100x1] ], where N is the total number of lines I want to independently interpolate in 1D.
I can solve this with a loop quite easily
Tnew = zeros(length(Hnew),N);
for i-1:N
Tnew(:,i) = interp1(H(:,i),T(:,i),Hnew);
end
But since I have many iterations to perform (N ~ 2 million), I am looking for a solution without a loop.
What is the optimum way to do this?

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Vijay
Vijay 2022-12-30
Hello @Jose Luis Villaescusa Nadal
The use of loop does not create any performance disadvantage. The bottleneck is the interpolation part. If your computer has large number of cores, >4, then you can utilize parfor pragma to parallelize your loop.
Tnew = zeros(length(Hnew),N);
parfor
for i-1:N
Tnew(:,i) = interp1(H(:,i),T(:,i),Hnew);
end
Please use the link below for more information
Execute for-loop iterations in parallel on workers - MATLAB parfor - MathWorks India
Hope that helps

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