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Uranie / Calibration  v4.11.0
/* @license-end */
TStandardDistanceLikelihoodFunction.h File Reference

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

#include "TDistanceLikelihoodFunction.h"
#include <cmath>
Include dependency graph for TStandardDistanceLikelihoodFunction.h:
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Go to the source code of this file.

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...

 
class  URANIE::Calibration::TGaussLogLikelihoodFunction
 Description of the class TGaussLogLikelihoodFunction
The log-likelihood is estimated as

\[ \textit{log-}\mathcal{L} \left(\theta | \mathbf{x},\mathbf{y}\right) = -\frac{1}{2}\sum_{j=1}^{n_{Var}}\sum_{i=1}^{n_{Obs}}\left( \log\left( 2 \pi \left(\sigma_i^j\right)^2 \right)+\left(\frac{\mathbf{y^{j}_{i,Obs}} - \mathbf{y^{j}_{i,Est}}}{\sigma_i^j}\right)^2\right) \]

where. More...

 

Namespaces

 URANIE
 
 URANIE::Calibration
 

Detailed Description

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

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