Hammersley sampling belongs to the category of quasi-Monte Carlo methods. This technique uses a quasi-random number generator, based on the Hammersley points, to uniformly sample a unit hypercube.

Figure 1. Hammersley Sampling

Usability Characteristics

  • An efficient sampling method that provides reliable estimates of output statistics using fewer samples than random sampling.
  • A correlation structure can be specified to reflect the correlation existing between random variables. Applying a correlation structure can be costly for a large number of input variables.


In the Specifications step, Settings tab, change method settings.
Parameter Default Range Description
Number of Runs 100 > 0 Number of new designs to be evaluated.
Apply User Correlations On Off or On Apply user specified correlations on the data.