nets are point sets in Euclidian
-space satisfying certain uniformity conditions,
for use in numerical integration. They can equivalently be described in terms of ordered orthogonal arrays,
a class of finite geometrical structures generalizing orthogonal arrays.
This establishes a link between quasi-Monte Carlo methods and coding theory.
We construct several new families of
nets improving the known bounds on the
size of
nets. These constructions use coding-theoretic construction techniques,
exploiting some of the nice properties of BCH-codes.