Class Hierarchy

Go to the graphical class hierarchy

This inheritance list is sorted roughly, but not completely, alphabetically:

[detail level 1234]

Chide_DistanceConstructor
▼CTDoubleEval
▼CURANIE::Calibration::TDistanceFunction	Description of the class TDistanceFunction
CURANIE::Calibration::TL1DistanceFunction	Description of the class TL1DistanceFunction The distance is estimated as \[ Dist = \sum_{i=1}^{n_{Var}} \alpha_i \times ( \sum_{j=1}^{n_{Obs}} | \mathbf{y^{j}_{i,Obs}} - \mathbf{y^{j}_{i,Est}} | ) \] where
CURANIE::Calibration::TLSDistanceFunction	Description of the class TLSDistanceFunction The distance is estimated as \[ Dist = \sum_{i=1}^{n_{Var}} \alpha_i \times \sqrt{ \sum_{j=1}^{n_{Obs}} (\mathbf{y^{j}_{i,Obs}} - \mathbf{y^{j}_{i,Est}})^{2}} \] where
CURANIE::Calibration::TMahalanobisDistanceFunction	Description of the class TMahalanobisDistanceFunction The distance is estimated as \[ Dist = \sum_{i=1}^{n_{Var}} \alpha_i \times \sqrt{ (\mathbf{y_{i,Obs}} - \mathbf{y_{i,Est}})^{T} \Omega^{-1} (\mathbf{y_{i,Obs}} - \mathbf{y_{i,Est}}) } \] where
CURANIE::Calibration::TRelativeLSDistanceFunction	Description of the class TRelativeLSDistanceFunction The distance is estimated as \[ Dist = \sum_{i=1}^{n_{Var}} \alpha_i \times \sqrt{ \sum_{j=1}^{n_{Obs}} \frac{(\mathbf{y^{j}_{i,Obs}} - \mathbf{y^{j}_{i,Est}})^{2}}{(\mathbf{y^{j}_{i,Obs}})^{2}}} \] where
CURANIE::Calibration::TWeightedLSDistanceFunction	Description of the class TWeightedLSDistanceFunction The distance is estimated as \[ Dist = \sum_{i=1}^{n_{Var}} \alpha_i \times \sqrt{ \sum_{j=1}^{n_{Obs}} \beta_{j} (\mathbf{y^{j}_{i,Obs}} - \mathbf{y^{j}_{i,Est}})^{2}} \] where
▼CTNamed
▼CURANIE::Calibration::TCalibration	Description of the class TCalibration
▼CURANIE::Calibration::TABC
CURANIE::Calibration::TPMCABC
CURANIE::Calibration::TRejectionABC
CURANIE::Calibration::TLinearBayesian	Description of the class TLinearBayesian
CURANIE::Calibration::TMetropHasting
CURANIE::Calibration::TMinimisation	Description of the class TMinimisation