AEI                     Augmented Expected Improvement
AEI.grad                AEI's Gradient
AKG                     Approximate Knowledge Gradient (AKG)
AKG.grad                AKG's Gradient
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
EI.grad                 Analytical gradient of the Expected Improvement
                        criterion
EQI                     Expected Quantile Improvement
EQI.grad                EQI's Gradient
kriging.quantile        Kriging quantile
kriging.quantile.grad   Analytical gradient of the Kriging quantile of
                        level beta
max_AEI                 Maximizer of the Augmented Expected Improvement
                        criterion function
max_AKG                 Maximizer of the Expected Quantile Improvement
                        criterion function
max_EI                  Maximization of the Expected Improvement
                        criterion
max_EQI                 Maximizer of the Expected Quantile Improvement
                        criterion function
max_qEI                 Maximization of multipoint expected improvement
                        criterion (qEI)
min_quantile            Minimization of the Kriging quantile.
noisy.optimizer         Optimization of homogenously noisy functions
                        based on Kriging
qEGO.nsteps             Sequential multipoint Expected improvement
                        (qEI) maximizations and model re-estimation
qEI                     Analytical expression of the multipoint
                        expected improvement (qEI) criterion
qEI.grad                Gradient of the multipoint expected improvement
                        (qEI) criterion
sampleFromEI            Sampling points according to the expected
                        improvement criterion
update_km_noisyEGO      Update of one or two Kriging models when adding
                        new observation
