It quantifies the redundancy or dependency among a set of n random variables.

Note that such an assignment can be found among elements of any ℓ-wise independent source over n binary variables.

In the primal problem, the objective function is a linear combination of n variables.

For instance, suppose is a function of time t and n variables as in the previous section.

For n variables, each linear equation determines a hyperplane in n-dimensional space.

These problems are represented by "n" variables and "m" constraints.

A multi-dimensional generalization comes from considering a function on n variables.

A multifunctor is a generalization of the functor concept to n variables.

These functions can be straightforwardly extended to n variables.

Let Q be a real nondegenerate indefinite quadratic form in n variables.