Hammersley

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.

Settings

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.