The holonomic gradient method (HGM, hgm) gives a way to evaluate normalization
constants of unnormalized probability distributions by utilizing holonomic
systems of differential or difference equations. The holonomic gradient descent (HGD, hgd) gives a method
to find maximal likelihood estimates by utilizing the HGM.