Deterministic computer simulations are often used as a replacement for
complex physical experiments. Although less expensive than physical
experimentation, computer codes can still be time-consuming to run. An
effective strategy for exploring the response surface of the deterministic
simulator is the use of an approximation to the computer code, such as a
Gaussian process (GP) model, coupled with a sequential sampling strategy for
choosing design points that can be used to build the GP model.