parfor loop variable cannot be classified
1 vue (au cours des 30 derniers jours)
Afficher commentaires plus anciens
Hi all, I'm trying to use parfor instead of for to deal with 3 minimizations (for now, it should increase a lot) that are independent of each other in everything but the initial values. I have the data corresponding to each minimization in a different structure and the parameters over which I want to minimize, defined as scalars out of the structure. In particular, the code looks as follows (matlabpool is open before what follows).
p0=rand(3,1); % Initial guess for parameters, common to all %minimizations
for i=1:3,
mk(i).param=zeros(3,1);
mk(i).obj=zeros(1,1);
end
mk(1).mc=[2;3;4];
mk(2).mc=[1;3;2];
mk(3).mc=[2;4;1];
mk(1).n=6;
mk(2).n=8;
mk(3).n=15;
mk(1).id=1;
mk(2).id=2;
mk(3).id=3;
parfor i=1:3,
[mk(i).param mk(i).obj]=fminsearch(@(p) prFOCv1(p,a;mk(i).mc,mk(i).n,mk(i).id),P0,Options);
end
So, every struct has components labeled mc, n and id and the values of each of these correspond to the values specified above and are independent of each other. If I use for instead of parfor, it works ok, but executes one minimization after the other, while I would like to do all simultaneusly. When I use parfor I get the message ???Error: The variable mk in a parfor cannot be classified. See Parallel for Loops in MATLAB, "Overview". I have read the "Overview" section, but I just don't understand what's the mistake that I'm making.
Any help would be appreciated. Thanks,
Fernando
0 commentaires
Réponse acceptée
Plus de réponses (1)
Fernando
le 5 Mai 2012
4 commentaires
Walter Roberson
le 5 Mai 2012
You could try outputting to cell arrays indexed at "i", and put the structure back together afterwards.
Voir également
Catégories
En savoir plus sur Big Data Processing dans Help Center et File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!