Which of these two assignments is more efficient
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Please have a look at the function below and let me know which of the sections labelled (1) and (2) is more efficient.
function pw =realtime_func(c)
persistent c_mem;
if isempty(c_mem)
c_mem=zeros(30,1);
end
%%(1) Is this faster
c_mem=[c_mem(2:end);c];
%%(2) or is this faster
c_mem(1)=[];
c_mem(end+1)=c;
% output
pw=hasTrumpCrashedTheEconomyYet(c_mem);
end
1 Commento
KSSV
il 15 Nov 2016
You can run a profiler to check your self or you can use tic, toc to check the timings. By the way is your label (2) working? It will throw error.
Give details, what is c and what you want to do.
Risposta accettata
Jan
il 15 Nov 2016
Most likely method 1 is faster, because 2 must allocate 2 arrays. But Matlab's JIT acceleration might recognize this and optimize the code. So the only reliable answer is to measure it. Use timeit or run a tic toc and a loop with perhaps 1 million iterations.
Note that asking in the forum needs some time also. So you will have to run the faster version trillions of times to get the invested time back. Is this piece of code really the bottleneck of the complete program? If not: Avoid "premature optimization" (search this term in the net in case of doubts).
Più risposte (1)
James Tursa
il 15 Nov 2016
Modificato: James Tursa
il 15 Nov 2016
Another method to try that might be faster for your application:
%%(3) or is this faster
c_mem(1:end-1)=c_mem(2:end);
c_mem(end)=c;
2 Commenti
Jan
il 16 Nov 2016
It seems like [c_mem(2:end);c] creates the vector c_mem(2:end) explicitely and a new vector, when the last element is added. James solution moves the values inside the existing array whithout allocating a new one.
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