Sampling techniques refer to a class of computer algorithms which are conducted to create a population of design variations. They can be used for a variety of computational analysis, such as for evaluating interactions between design parameter and responses, for efficiently building meta-models, or for analyzing the robustness of a design. Depending on the aim or field of application, the algorithm controls the distribution of the design variations in the design space.