Let\'s say I have a function, like:
function [result] = Square( x )
result = x * x;
end
And I have an array like the following,
I am going to assume that you will not be doing something as simple as a square operation and what you are trying to do is not already vectorised in MATLAB.
It is better to call the function once, and do the loop in the function. As the number of elements increase, you will notice significant increase in operation time.
Let our functions be:
function result = getSquare(x)
result = x*x; % I did not use .* on purpose
end
function result = getSquareVec(x)
result = zeros(1,numel(x));
for idx = 1:numel(x)
result(:,idx) = x(idx)*x(idx);
end
end
And let's call them from a script:
y = 1:10000;
tic;
for idx = 1:numel(y)
res = getSquare(y(idx));
end
toc
tic;
res = getSquareVec(y);
toc
I ran the code a couple of times and turns out calling the function only once is at least twice as fast.
Elapsed time is 0.020524 seconds.
Elapsed time is 0.008560 seconds.
Elapsed time is 0.019019 seconds.
Elapsed time is 0.007661 seconds.
Elapsed time is 0.022532 seconds.
Elapsed time is 0.006731 seconds.
Elapsed time is 0.023051 seconds.
Elapsed time is 0.005951 seconds.