EGI                     Efficient Global Inversion: sequential
                        inversion algorithm based on Kriging
EGIparallel             Efficient Global Inversion: Parallel version.
KrigInv                 Kriging-based inversion of deterministic and
                        stochastic computer codes
bichon_optim            Bichon et al.'s Expected Feasibility criterion
computeAuxVariables_noChol
                        Auxiliary variables for kriging
computeAuxVariables_update
                        Auxiliary variables in an update_km procedure
computeQuickKrigcov     Quick computation of kriging covariances
computeRealVolumeConstant
                        A constant used to calculate the expected
                        excursion set's volume variance
integration_design      Construction of a sample of integration points
                        and weights
jn_optim                jn criterion optimization
max_infill_criterion    Optimizer for the infill criteria
max_sur                 Minimizer of the sur criterion
max_sur_parallel        Minimizer of the parallel sur criterion
max_timse               Minimizer of the IMSE or targeted IMSE
                        criterion
max_timse_parallel      Minimizer of the parallel timse criterion
max_vorob_parallel      Minimizer of the parallel vorob criterion
precomputeUpdateData    Useful data to quickly update kriging mean and
                        variance
predict_nobias_km       Kriging predictions without any adjustment
                        factor for the kriging variances
predict_update_km       Quick computation of updated kriging means and
                        variances.
predict_update_km_parallel
                        Quick update of kriging means and variances
                        when many new points are added.
print_uncertainty       Prints a measure of uncertainty for a function
                        of any dimension.
print_uncertainty_1d    Prints a measure of uncertainty for 1d
                        function.
print_uncertainty_2d    Prints a measure of uncertainty for 2d
                        function.
print_uncertainty_nd    Print a measure of uncertainty for functions
                        with dimension d strictly higher than 2.
ranjan_optim            Ranjan et al.'s Expected Improvement criterion
sur_optim               sur criterion
sur_optim_parallel      Parallel sur criterion
sur_optim_parallel2     Parallel sur criterion
timse_optim             Targeted IMSE criterion
timse_optim_parallel    Parallel targeted IMSE criterion
timse_optim_parallel2   Parallel timse criterion
tmse_optim              Targeted MSE criterion
tsee_optim              Two Sided Expected Exceedance criterion
update_km               Update of a kriging model
vorob_optim_parallel    Parallel Vorob'ev criterion
vorob_optim_parallel2   Parallel Vorob'ev criterion
vorob_threshold         Calculation of the Vorob'ev threshold
