I have three vectors which are orthogonal
b_vect = [1 2]
L_vect = [10 20 30]
f_vect = [100 200 300]
and I would like to do element-for element-operations. I use repmat to duplicate the vectors along the other dimensions so 3D arrays are obtained.
b_arr = repmat(b_vect , [length(f_vect), length(L_vect), 1]) % Wrong?!
L_arr = repmat(L_vect , [length(f_vect), 1, length(b_vect)]) % Good!
f_arr = repmat(f_vect', [1, length(L_vect), length(b_vect)]) % Good!
This however goes wrong because of the orientation of b_vect
. For f_arr
it was possible to take the rotated vector f_vect'$
, but how should this be done in the case of b_vect
?
size(b_arr)
size(L_arr)
size(f_arr)
The element-for-element product would for instance then be
product = b_arr.*L_arr.*f_arr
I think you should do:
b_vect = reshape([1 2],[1 1 numel(b_vect)]);