Definition of Latin Hypercube Sampling Latin Hypercube Sampling: Latin Hypercube Sampling (LHS) is a method for constructing a point sample from a probability distribution. The most common use case for LHS is in Monte Carlo simulations, where the goal is to approximate the distribution of a function by taking repeated samples from it. In order…