Storing Matrices of different sizes
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Good morning everyone,
I am working on a project where I sequentially run the same process with two different inputs through the use of for loops. Out of this process I get a vector and a matrix that I would like to store. I am trying to do this with mxnxp arrays but run into the problem that the matrices are different sizes for each iteration. Specifically the matrix seems to be longer for later iterations than it is initially. Here's an example of the code I am trying to run:
tstepvec=60*10:60*10:60*30; %inputting the various time step values for iteration
varvec=1:10; %inputting the various variance values for iteration
Y=NaN(length(0:10:60*30),42,length(tstepvec)*length(sigmapvec)); %preallocating Y
T=NaN(length(0:10:60*30),1,length(tstepvec)*length(sigmapvec)); %preallocating T
zzz=1; %initializing variable
for tbs=tstepvec
for sigmapix=sigmapvec
[Y(:,:,zzz),T(:,:,zzz)]=process(tbs,sigmapix); %running the process
zzz=zzz+1; %updating variable
end
end
So, again, my problem is that I need some way to store Y and T sequentially even if they are different lengths due to the step size. The biggest problem I believe is that the length grows larger as the iterations progress, otherwise Matlab would just tack 0's on the end to fill in any elements that were missing. One solution I can possibly think of but don't know how to implement would be to change the indices from colons to some other term that tells matlab to just fill in the spaces that are available instead of removing any that are extra.
Anyway, any help would be greatly appreciated!
Thanks,
Andrew
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Respuesta aceptada
Iain
el 19 de Jun. de 2013
Your best option is to use a cell array:
[Y{zzz}(:,:) T{zzz}(:,:)] = process(tbs,sigmapix);
Alternatively:
[Ytemp Ttemp] = process(tbs,sigmapix);
Y(1:size(Ytemp,1),1:size(Ytemp,2),zzz) = Ytemp; ... etc
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