Hello all, I don't understand why the tensor product in APL (∘.×) between two matrices, gives a multidimensional array as result.
>From linear algebra, tensor product (or kronecker product) gives a matrix as result, for example if I2 is identity matrix 1 0 0 1 I2 (tensor product) I2 gives 1 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 instead if I use the APL operator I have : 1 0 0 1 0 0 0 0 0 0 0 0 1 0 0 1 the result is correct but why the shape is different ? Is there a way to have a behaviour similar to linear algebra result ? I wrote a generic tensor product function, but I'm not happy because it uses loops and I don't like APL with loops :) but I didn't figure out a loopless solution. thanks, Fausto