  Calculating the values of nuclear correlation functions is computationally
intensive due to the fact that the number of terms in a nuclear wave function
scales exponentially with atomic number. To speed up this computation, we
represent a correlation function as a sum of the determinants of many small
matrices, and exploit similarities between the matrices to speed up the
calculations of those determinants.
