How do you subtract 1st dim all values in a 3D matrix with 1st dim all values of another 3D matrix?

I have two 3D matrices that are the same.

size(A) = [10 100 50]

size(B) = [10 100 50]

I want to subtract along every value in the 1st dim of A with every value in 1st dim of B with no for loops so using bsxfun. I will also take the mean in the middle

I want to end up with 10x10x50. How do I do this?

So far, I just have

z = mean(bsxfun(@minus, A, B, 2)

which subtracts every matching data index in 1st dim so [1-1] [2-2] ... [10-10]

I'm left with a 10x1x50 matrix of zeros.

I want to do

[1-1] [1-2] ... [1-10]

[2-1] ...

...

[10-1] [10-2] ... [10-10]

I can do this and I get the 10x10x50 matrix I want:

for i = 1:10

for j = 1:10

z = mean(bsxfun(@minus, A(i), B(j), 2)

end

end

Is this possible without for loops?

Answer 1

[AKHILA GOUDA]

If I understand your question then you simple go through matrix element wise operation

A=rand(10,100,50);      
B=rand(10,100,50);
C=A(:,1:10,:)-B(:,1:10,:);
size(C) 

[Ryan Thackston]

No that's not it, sorry I fixed some of the wording in my statement. I want to use all data from the 2nd dim before I take the mean.

I want to subtract by each data point in the 1st Dim for A & B