how to run function for several times with different variables

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Asliddin Komilov
Asliddin Komilov el 5 de Mzo. de 2019
Comentada: Stephen23 el 12 de Mzo. de 2019
I have something like this:
a=5
b=8
c=9
d=11
%a,b,c and d are function inputs
n=a*0.1:a*0.1:a
for i=1:length(n)
"function"
end
but I need to run function replacing 'a' in 'n' with 'b','c' and 'd' at once and save the data so I can compare it. it is a sensitivity analysis for this function outputs.
  2 comentarios
dpb
dpb el 5 de Mzo. de 2019
To do every point for all four variables would be quad-nested for loops and you'd end up with 4^10= 1048576 outputs. Depending on how expensive function() is in compute time, this might take a while...
Typically one uses response surface methods or similar to do such studies that replace the detail function with a (typically) quadratic surface over the design space. (Myers, RH, Response Surface Methodology, Allyn and Bacon, 1971 was my "go to" and still a favorite).
Asliddin Komilov
Asliddin Komilov el 12 de Mzo. de 2019
that is too difficult for me, I did it for each variable separately (see below). thank you

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Respuestas (2)

Dennis
Dennis el 5 de Mzo. de 2019
In your example you do not need more than one variable:
a=[5 8 9 11];
for i=1:numel(a)
n=a(i)*0.1:a(i)*0.1:a(i);
for k=1:numel(n)
%function
end
end
  2 comentarios
dpb
dpb el 5 de Mzo. de 2019
"but I need to run function replacing 'a' in 'n' with 'b','c' and 'd'..."
Asliddin Komilov
Asliddin Komilov el 12 de Mzo. de 2019
thanks, but it gave error inside th function, so I decided to skip it.

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Asliddin Komilov
Asliddin Komilov el 12 de Mzo. de 2019
Editada: Stephen23 el 12 de Mzo. de 2019
I just saved the loop for each variable.
a=5
b=8
c=9
d=11
%a,b,c and d are function inputs
n=a*0.1:a*0.1:a
for i=1:length(n)
"function"
end
save file_a
a=a(end);
clear "function outputs"
%--------------------------
n=b*0.1:b*0.1:b
for i=1:length(n)
"function"
end
save file_b
b=b(end);
clear "function outputs"
%---------------------------
..........
  1 comentario
Stephen23
Stephen23 el 12 de Mzo. de 2019
You could save the bother by simply putting your data into one array and using indexing.

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