Concatenating large matrices - out of memory
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I have four 4096x4096 sparse matrices namely A, B, C, and D and they only have elements on the diagonal.
I tried to make a matrix X = [ A B; C D] which is 8192x8192 but I get an out of memory error.
Essentially, I need to multiply X with a 8192x1 vector Y.
Is there a more sophisticated way to do this?
采纳的回答
X=[sparse(A),sparse(B);sparse(C), sparse(D)];
result = X*Y;
Or,
a=diag(A);
b=diag(B);
c=diag(C);
d=diag(D);
y1=Y(1:4096);
y2=Y(4097:end);
result = [a.*y1+b.*y2; c.*y1 + d.*y2];
2 个评论
John
2013-3-12
Matt J
2013-3-12
Are you sure they are already sparse? Or, are you sure the out-of-memory is coming from the statement X=[A B;C D]?
It doesn't make sense that diagonal sparse matrices of that size would give you any problems with memory. If you are on a 32 bit machine and you accidentally made those matrices non-sparse, I could see you getting such an error
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