Latin hypercube sampling (LHS) is a statistical method for generating a near-random sample of parameter values from a multidimensional distribution. The sampling method is often used to construct computer experiments or for Monte-Carlo integration.
Read More: https://en.wikipedia.org/wiki/Latin_hypercube_sampling
In the manual of RecurDyn: This information is at http://www.functionbay.co.kr/documentation/onlinehelp/default.htm#!Documents/discretelatinhypercubedesign.htm