getgrad()

function grad=getgrad(W)

Input:

• W: Expansion coefficients for $N_s$ unconstrained wave functions, stored as an $\prod S_k\,\times\,N_s$ matrix

Output:

• grad: $\prod S_k \, \times N_s$ matrix containing the derivatives $\partial E/\partial W^*_{i,n}$

Using the expression in Eq. (10) and your H() operator above, produce a function of the above prototype in the file ``getgrad.m''.
Hint: Matrix multiplication is associative, so that the final result of a matrix product $ABC$ does not depend on the order in which the product is formed, $A(BC)$ or $(AB)C$. However, the dimensions of the intermediate values can be quite different. For instance $({\cal O}W N^{-1} W^\dagger) (HW)$ is the product of a $\prod S_k \, \times \, \prod S_k$ matrix with a $\prod S_k \, \times N_s$ matrix, while $({\cal O}W N^{-1/2}) (W^\dagger HW)$ is the product of a $\prod S_k\,\times\,N_s$ matrix with an $N_s\,\times\,N_s$ matrix. The former will likely overflow the memory, whereas the latter will fit nicely. Thus, in evaluating Eq. (10) in octave, you may wish to include some ``extra'' parentheses.