Why is this nested for loop faster in python? How can I make it faster in Matlab?
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...code above...
J = zeros(n_x,n_x,n_x); %Preallocation
ionf = zeros(n_x,n_x,n_x); %Preallocation
dens = zeros(n_x,n_x,n_x); %Preallocation
temp = zeros(n_x,n_x,n_x); %Preallocation
%loop
for i = 1:n_x
for j = 1:n_x
for k = 1:n_x
data = strsplit(fgets(fin));
J(i,j,k) = single(str2double(data{1}));
ionf(i,j,k) = single(str2double(data{2}));
dens(i,j,k) = single(str2double(data{3}));
temp(i,j,k) = single(str2double(data{4}));
end
end
end
...code below...
I translated some code from python to Matlab. Why is this nested for loop faster in python? How can I make it faster in Matlab? All variables are defined, I just need advice in the for loop speed. Thank you in advance
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