Vectorize operations referencing adjacent elements of a matrix

I have made the simple code:
for i=2:xsize-1
for j=2:ysize-1
for n=2:zsize-1
matrix(i,j,n)=matrix(i,j,n)+0.2*(matrix(i,j,n)*6-matrix(i-1,j,n)-matrix(i+1,j,n)-matrix(i,j-1,n)-matrix(i,j+1,n)-matrix(i,j,n-1)-matrix(i,j,n+1));
end
end
end
This is part of a diffusion problem and it is particularly slow because the 3D matrix is large. Is it possible to vectorize an operation like this? How do you vectorize references to the matrix like this?

 采纳的回答

out = convn(matrix,cat(3,[0 0 0;0 -1 0;0 0 0],...
[0 -1 0;-1 1 -1;0 -1 0],...
[0 0 0;0 -1 0;0 0 0]),'valid');

1 个评论

Thanks! This gives about a factor of 20 speedup. The form I used is
newmatrix = convn(matrix,cat(3,[0 0 0; 0 rt 0; 0 0 0],...
[0 rt 0; rt 1-rt*6 rt; 0 rt 0],...
[0 0 0; 0 rt 0; 0 0 0]),'same');
where rt=0.2

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