Latin hypercube sampling

https://en.wikipedia.org/wiki/Latin_hypercube_sampling

A method for sampling values from a multidimensional distribution. The key difference from random sampling is that LHS makes the samples more spread out across the possible space.

Latin hypercube is a generalization of Latin square.