We can easily generalize this proof to the case of quantum mechanical models.

This is easily generalized to any other degrees k, not necessarily prime.

Catmull-Rom splines can be easily generalized to any number of dimensions.

It can be easily generalized to dynamic Bayesian networks by using a junction tree.

The proof for higher dimensions is easily generalized from the above example.

The above examples generalize easily to the case of functions with values in Euclidean space.

Then taking the limit (union) of the sequence gives E. The example can be easily generalized in other dimensions.

This equation is easily generalized to any number of reactants, products, and reactions.

The Kent distribution can be easily generalized to spheres in higher dimensions.

The above generalizes easily to the case of taking the mean of vector-valued estimates.