Fill a nxm matrix with vectorised expression
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Hi all,
here my doubt: i have a matrix M with dimensions nxm. The matrix is initially initialised with zeros, and i fill each M(i,j) calling another function:
M = zeros(n,m)
for i = 1:n
for j = 1:m
M(i,j) = another_function(several_inputs);
end
end
is it possible to fill the matrix M without the for loops, but instead using a vectorised expression?
Thanks
4 Comments
Konstantin
on 16 Oct 2020
sometimes it works to vectorize the function itself
matrix = another_function(matrix)
Accepted Answer
Matt J
on 16 Oct 2020
Edited: Matt J
on 16 Oct 2020
No, there is no way to vectorize an element-wise function generically, without considering the specifics of the function. You can avoid for-loop syntax by using arrayfun, but this simply hides the loops from view, it doesn't replace them with something more efficient.
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