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==Methodology==
[[File:EE_trajectory.jpg|thumb | right |
To exemplify the EE method, let us assume to consider a mathematical model with <math> k </math> input factors. Let <math> Y </math> be the output of interest (a scalar for simplicity):<br />
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These two measures are obtained through a design based on the construction of a series of trajectories in the space of the inputs, where inputs are randomly moved One-At-a-Time (OAT).
In this design, each model input is assumed to vary across <math>p</math> selected levels in the space of the input factors. The region of experimentation <math>\Omega</math> is thus a <math>k</math>-dimensional <math>p</math>-level grid.
▲[[File:EE_trajectory.jpg|thumb | right | 250px | Figure 1: Example of a trajectory in 3 dimensions.]]
Each trajectory is composed of <math>(k+1)</math> points since input factors move one by one of a step <math> \Delta </math> in <math>\{0, 1/(p-1), ... , 1-1/(p-1), 1\}</math> while all the others remain fixed. Figure 1 shows an example of trajectory in three dimensions.
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