How to simplify the for loop for 3D matrix?
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I have the following code, where I am looking to eliminate only the outer for-loop (k) and include 'k' inside the inner loop. Here, I perform inverse considering each calculation point (k=1:NFocP) in a loop, but would like to some how eliminate outer loop and perform the inverse for all points at one instance. And the other concern is that I don't want to disturb the mldivide (\) function. Is there any way to solve this issue?
clear all;
load A.mat
load s1.mat
load s2.mat
Foc = size(s1,3); % no of calculation points
Nt = size(s1,2); % length of signal
M = size(s1,1); % no of rsensors
for k=1:Foc
for p = 1:Nt
H = [s1(:,p,k) s2(:,p,k)];
tmp = H\ A(:,p);
Ainv1(k,p) = tmp(1);
Ainv2(k,p) = tmp(2);
end
end
2 Comments
Benjamin Thompson
on 11 Jan 2023
That would require calculating an inverse of a 3D matrix for H which is not possible. You may be able to use foreach to speed up the code by doing the outer loops in parallel.
Kalasagarreddi Kottakota
on 11 Jan 2023
Accepted Answer
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