In experiments on systems where there is substantial random noise, the goal is to minimize the variance of prediction. In experiments on deterministic systems, there is no variance but there is bias. Bias is the difference between the approximation model and the true mathematical function. The goal of space-filling designs is to bound the bias.

The Space Filling designer supports the following design methods:

uses cluster methods to construct a design that places a design point close to any point in the design region. Accommodates linear constraints and disallowed combinations on the design space. You can construct linear constraints using the Linear Constraint button. You can specify Disallowed Combinations by selecting that option from the report’s red triangle menu. See Disallowed Combinations: Accounting for Factor Level Restrictions.