TStandardDistanceFunction.h File Reference

Interface de la classe URANIE::Calibration::TStandardDistanceFunction. More...

#include "TDistanceFunction.h"

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Classes
class	URANIE::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. More...
class	URANIE::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. More...
class	URANIE::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. More...
class	URANIE::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. More...
class	URANIE::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. More...

Namespaces
	URANIE
	URANIE::Calibration

Detailed Description

Interface de la classe URANIE::Calibration::TStandardDistanceFunction.

Author

Jean-Baptiste Blanchard (jean-.nosp@m.bapt.nosp@m.iste..nosp@m.blan.nosp@m.chard.nosp@m.@cea.nosp@m..fr)

Date