I have a cell array of cell(1, n) called A, with each cell entry containing a matrix of mxn. So, in effect, my cell array contains n matrices of size mxn.
I then have another cell array called B, with n pxm matrices stored in it.
What I need to do is multiply the two against each other, as in: A[1] * B[1], A[2] * B[2], ..., A[n] * B[n]. I then need to store the results as individual matrices of their own, and sum them up.
The matrices are conformal for multiplication, but because cell array B contains less rows than cell array A, when I use cellfun(@times A, B, 'UniformOutput', true) I get an unequal matrices error.
This seems to indicate that cellfun can only multiply individual cells when the matrices have equal numbers of rows and columns.
Now, I could perform this by using various loops, or by calling cell2mat and mat2cell, and so on. I could also just store everything as a matrix array rather than using cells... but - I would prefer to use cells.
So - my question is: Is there a good way of doing this using only cellfun? I have tried various combinations of argument inputs already - but with no luck so far.