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nest loop

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Dominic Lawson
Dominic Lawson el 29 de Mzo. de 2011
Hello,
Here is my code:-
clear all
x = 1:3;
y = 1:3;
a = 1:3;
b = 1:3;
for i = 1:3;
for j = 1:3;
a_pred = a(:,i);
b_pred = b(:,j);
y_pred = a_pred + b_pred.* x;
chi2 = (y-y_pred).^2;
end
end
how would I amend the nested loop so that every single combination of a and b values are calculated in y_pred please? i.e. a(1) and b(1) then a(2) and b(1) all the way to a(3) and b(3).
Thanks

Respuesta aceptada

Matt Fig
Matt Fig el 29 de Mzo. de 2011
Why do you think all aren't being calculated? Here is a modified version of your code, not changing the mechanics, which shows what you are getting.
a = 1:3;
b = 1:3;
for i = 1:3;
for j = 1:3;
a_pred = a(:,i);
b_pred = b(:,j);
disp([a_pred b_pred])
end
end
.
.
EDIT
.
Here is how to store all the results in chi2:
x = 1:3;
y = 1:3;
a = 1:3;
b = 1:3;
chi2 = zeros(9,3);
cnt = 0;
for i = 1:3;
for j = 1:3;
cnt = cnt + 1;
a_pred = a(:,i);
b_pred = b(:,j);
y_pred = a_pred + b_pred.* x
chi2(cnt,:) = (y-y_pred).^2;
end
end
chi2
And here is a vectorized version, using NPERMUTEK:
IDX = npermutek(1:3,2);
y_pred = bsxfun(@plus,a(IDX(:,1)), bsxfun(@times,b(IDX(:,2)),x.'));
chi2 = bsxfun(@minus,y,y_pred.').^2
Not that it should be faster here...
  11 comentarios
Walter Roberson
Walter Roberson el 29 de Mzo. de 2011
I found it by using methods(@i)
Walter Roberson
Walter Roberson el 29 de Mzo. de 2011
Good question about 'type'. I was not able to find anything that did not indicate 'simple' there. I did find, though, that functions will use an empty file name for methods that do not have a file of their own. For example, functions(@func2str) where which shows func2str as if it is part of a file that does not actually exist.

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