 Uniform approximation

Uniform approximation minimizes the supremum norm of the difference between a target function and an approximant.

The error is measured uniformly over the domain using the supremum norm. A sequence of approximants whose uniform error tends to zero converges by uniform convergence; the optimization problem and the convergence notion are distinct.