CL.nsteps               Parallelized version of EGO.nsteps, based on
                        the CL strategy
DiceOptim               Kriging-based optimization methods for computer
                        experiments
EGO.nsteps              Sequential EI maximization and model
                        re-estimation, with a number of iterations
                        fixed in advance by the user
EI                      Analytical expression of the Expected
                        Improvement criterion (noise-free version)
EI.grad                 Analytical gradient of the Expected Improvement
                        criterion (noise-free version)
max_EI                  One-shot maximization of the Expected
                        Improvement criterion (noise-free version)
max_qEI.CL              One-shot pseudo-maximization of qEI using the
                        Constant Liar strategy
qEI                     Monte-Carlo estimation of the multipoints
                        Expected Improvement criterion (noise-free
                        version)
