I would like to efficiently create an N+1 dimensional array C, whose first 2 dimensions are the exterior product of the 1st dimension of the N dimensional arrays A and B. The exterior product of m by 1 column vectors x and y is the m by m matrix x*y'.
As an example, given the 2 by 3 by 5 arrays A and B, I would like to create the 2 by 2 by 3 by 5 array C such that C(i,j,k,l) = A(i,k,l)*B(j,k,l).
For efficiency pruposes, I would like to do this without for loops, to the extent possible (I know how to do this with slow, ugly, brute force for loops). Given that I will apply this to YALMIP sdpvar arrays, implicit expansion can't be used. The following (non-exhaustive list) can be used in any combination:
reshaperepmatvec'ing (i.e., A(:)).*kronbsxfun (if needed)
Thanks.
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