how to vectorize nested for loops
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Hello everyone
I want to vectorize the following code to reduce operation time. Can you guys help me out?
thanks
% X is a double matrix
s=size(X);
RepSol=repmat(X,2,2);
% Y is a binary matrix
Y=repmat(Y,2,2);
% Preallocation
p=zeros(s);
for m=1:s(1)
for n=1:s(2)
for i=1:s(1)
for j=1:s(2)
if RepSol(i,j)==RepSol(m+i-1,n+j-1)
p(m,n)=p(m,n)+Y(i,j)*Y(m+i-1,n+j-1);
end
end
end
end
end
0 Comments
Answers (2)
darova
on 10 Sep 2019
IS it correct?
for m=1:s(1)
for n=1:s(2)
cond = RepSol(1:s(1),1:s(2)) == RepSol((1:s(1))+m-1,(1:s(2))+n-1);
% cond = X - RepSol((1:s(1))+m-1,(1:s(2))+n-1);
P = Y(1:s(1),1:s(2)) .* Y((1:s(1))+m-1,(1:s(2))+n-1);
res = cond .* P;
p(m,n) = sum(res(:));
end
end
4 Comments
AliHg
on 17 Sep 2019
4 Comments
darova
on 17 Sep 2019
Unfortunately is explains nothing
The script does the follwoing if i understood correctly:
Rik
on 17 Sep 2019
I agree with darova that your explanation is minimal. Please edit your question, adding what you're trying to achieve. Maybe your problem can be solved with a well-chosen convolution, but with the current level of detail it is impossible to give you a better solution than you already have been given.
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