Why is this line so inefficient
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I have a very simple equation that I'm coding in MATLAB that I wouldn't think should be taking as much time as it is. The initial line is in a for loop so I vectorized the problem and that turned out to be even slower (which I was pretty surprised by). Does anyone see anything obvious that I'm not considering for why this is so slow? Typically values for n and m are between 0-10
% Rnm = zeros(size(rho));
% MaximumExponent = (n-m)/2;
% s = 0:MaximumExponent;
% numerator = (-1) .^ s .* factorial(n-s);
% denominator = factorial(s) .* factorial((n+m) / 2-s) .* factorial((n-m) / 2-s);
% Rnm = sum((numerator ./ denominator) .* rho .^ (n-2 .* s), 2);
Rnm2 = zeros(size(rho));
for s=0:(n-m)/2
numerator = (-1)^s * factorial(n-s);
denominator = factorial(s)*factorial((n+m)/2-s)*factorial((n-m)/2-s);
Rnm2 = Rnm2 + (numerator / denominator) * rho.^(n-2*s);
end % for s statement
Here is a profile for the runtime...
EDIT: I should probably also add a couple more details on some things. rho will be a column vector of ~500,000 elements. I imagine the size of rho is alone the reason that most of this takes so long, but it still seems a bit abnormally long to me.
EDIT 2: Should probably include my system details...running Windows 10 Pro, 11th Gen Intel Core i5-1135G7 @ 2.4GHz, 16GB RAM. Nothing to fantastic, but not the worst PC in the world. That's why I'd think this should be running faster...
回答(1 个)
David Hill
2022-7-26
tic;
rho=rand(500000,1);n=9;m=3;
s=0:(n-m)/2;
numerator = (-1).^s .* factorial(n-s);
denominator = factorial(s).*factorial((n+m)/2-s).*factorial((n-m)/2-s);
Rnm=sum((numerator./denominator).*rho.^(n-2*s),2);
toc;
4 个评论
David Hill
2022-7-27
tic;
rho=rand(500000,1);n=9;m=3;
f=factorial(0:n);%could do lookup table for factorials (might help speed slightly)
s=0:(n-m)/2;
numerator = (-1).^s .* f(n-s+1);
denominator = f(s+1).*f((n+m)/2-s+1).*f((n-m)/2-s+1);
Rnm=sum((numerator./denominator).*rho.^(n-2*s),2);
toc;
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