| AEI | Augmented Expected Improvement |
| AEI.grad | AEI's Gradient |
| AKG | Approximate Knowledge Gradient (AKG) |
| AKG.grad | AKG's Gradient |
| branin2 | 2D test function |
| checkPredict | Prevention of numerical instability for a new observation |
| crit_AL | Expected Augmented Lagrangian Improvement |
| critcst_optimizer | Maximization of constrained Expected Improvement criteria |
| crit_EFI | Expected Feasible Improvement |
| crit_SUR_cst | Stepwise Uncertainty Reduction criterion |
| DiceOptim-package | Kriging-based optimization methods for computer experiments |
| easyEGO | User-friendly wrapper of the functions 'fastEGO.nsteps' and... |
| easyEGO.cst | EGO algorithm with constraints |
| EGO.cst | Sequential constrained Expected Improvement maximization and... |
| EGO.nsteps | Sequential EI maximization and model re-estimation, with a... |
| 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 |
| fastEGO.nsteps | Sequential EI maximization and model re-estimation, with a... |
| fastfun | Fastfun function |
| fastfun-class | Class for fast to compute objective. |
| goldsteinprice | 2D test function |
| hartman4 | 4D test function |
| integration_design_cst | Generic function to build integration points (for the SUR... |
| 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... |
| max_AKG | Maximizer of the Expected Quantile Improvement criterion... |
| max_crit | Maximization of the Expected Improvement criterion |
| max_EI | Maximization of the Expected Improvement criterion |
| max_EQI | Maximizer of the Expected Quantile Improvement criterion... |
| max_qEI | Maximization of multipoint expected improvement criterion... |
| min_quantile | Minimization of the Kriging quantile. |
| noisy.optimizer | Optimization of homogenously noisy functions based on Kriging |
| ParrConstraint | 2D constraint function |
| qEGO.nsteps | Sequential multipoint Expected improvement (qEI)... |
| qEI | Analytical expression of the multipoint expected improvement... |
| qEI.grad | Gradient of the multipoint expected improvement (qEI)... |
| rosenbrock4 | 4D test function |
| sampleFromEI | Sampling points according to the expected improvement... |
| sphere6 | 6D sphere function |
| test_feas_vec | Test constraints violation (vectorized) |
| TREGO.nsteps | Trust-region based EGO algorithm. |
| update_km_noisyEGO | Update of one or two Kriging models when adding new... |
