The variable g in a parfor cannot be classified..

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freebil
freebil il 22 Ott 2014
Modificato: Edric Ellis il 23 Ott 2014
Can anyone help me with this?
parfor j=1:N
z1r=normrnd(Z1(1),Z1(2)); %Random sample from distribution of Z1
z2r=normrnd(Z2(1),Z2(2)); %Random sample from distribution of Z2
for i=1:size(T,2)
g(i)=Threshold-M(i,1)-(sqrt(lambda1)*V1(i)*z1r)-(sqrt(lambda2)*V2(i)*z2r);
if g(i)>0 %safe
IND(i,j)=0;
else %failure
IND(i,j)=1;
end
end
end

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Risposte (1)

Edric Ellis
Edric Ellis il 23 Ott 2014
Modificato: Edric Ellis il 23 Ott 2014
It looks like you could simply replace g(i) with g and then hoist the inner for-loop bounds calculation out of the PARFOR loop. (Inner FOR loops must have constant bounds to be able to run correctly).
I.e.
tn = size(T, 2);
parfor j = 1:N
...
for i = 1:tn
...
end
end
  2 Commenti
freebil
freebil il 23 Ott 2014
thanks but it says that IND cannot be classified then..
Edric Ellis
Edric Ellis il 23 Ott 2014
Ah, you're right, I'll update my answer.

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