 |
ROOT
6.07/01
Reference Guide
|
All Classes Namespaces Files Functions Variables Typedefs Enumerations Enumerator Properties Friends Macros Groups Pages
|
ROOT
6.07/01
Reference Guide
|
namespace defining utility free functions using in Fit for evaluating the various fit method functions (chi2, likelihood, etc..) given the data and the model function More...
Typedefs | |
| typedef ROOT::Math::IParamMultiFunction | IModelFunction |
| typedef ROOT::Math::IParamMultiGradFunction | IGradModelFunction |
Functions | |
| double | EvaluateChi2 (const IModelFunction &func, const BinData &data, const double *x, unsigned int &nPoints) |
| Chi2 Functions. More... | |
| double | EvaluateChi2Effective (const IModelFunction &func, const BinData &data, const double *x, unsigned int &nPoints) |
| evaluate the effective Chi2 given a model function and the data at the point x. More... | |
| void | EvaluateChi2Gradient (const IModelFunction &func, const BinData &data, const double *x, double *grad, unsigned int &nPoints) |
| evaluate the Chi2 gradient given a model function and the data at the point x. More... | |
| double | EvaluateLogL (const IModelFunction &func, const UnBinData &data, const double *x, int iWeight, bool extended, unsigned int &nPoints) |
| evaluate the LogL given a model function and the data at the point x. More... | |
| void | EvaluateLogLGradient (const IModelFunction &func, const UnBinData &data, const double *x, double *grad, unsigned int &nPoints) |
| evaluate the LogL gradient given a model function and the data at the point x. More... | |
| double | EvaluatePoissonLogL (const IModelFunction &func, const BinData &data, const double *x, int iWeight, bool extended, unsigned int &nPoints) |
| evaluate the Poisson LogL given a model function and the data at the point x. More... | |
| void | EvaluatePoissonLogLGradient (const IModelFunction &func, const BinData &data, const double *x, double *grad) |
| evaluate the Poisson LogL given a model function and the data at the point x. More... | |
| double | EvaluateChi2Residual (const IModelFunction &func, const BinData &data, const double *x, unsigned int ipoint, double *g=0) |
| Parallel evaluate the Chi2 given a model function and the data at the point x. More... | |
| double | EvaluatePdf (const IModelFunction &func, const UnBinData &data, const double *x, unsigned int ipoint, double *g=0) |
| evaluate the pdf contribution to the LogL given a model function and the BinPoint data. More... | |
| double | EvaluatePoissonBinPdf (const IModelFunction &func, const BinData &data, const double *x, unsigned int ipoint, double *g=0) |
| evaluate the pdf contribution to the Poisson LogL given a model function and the BinPoint data. More... | |
| double | CorrectValue (double rval) |
| bool | CheckValue (double &rval) |
| template<class GFunc > | |
| void | CalculateGradientIntegral (const GFunc &gfunc, const double *x1, const double *x2, const double *p, double *g) |
namespace defining utility free functions using in Fit for evaluating the various fit method functions (chi2, likelihood, etc..) given the data and the model function
| void ROOT::Fit::FitUtil::CalculateGradientIntegral | ( | const GFunc & | gfunc, |
| const double * | x1, | ||
| const double * | x2, | ||
| const double * | p, | ||
| double * | g | ||
| ) |
Definition at line 314 of file FitUtil.cxx.
Referenced by EvaluateChi2Gradient(), EvaluateChi2Residual(), EvaluatePoissonBinPdf(), and EvaluatePoissonLogLGradient().
| bool ROOT::Fit::FitUtil::CheckValue | ( | double & | rval | ) |
Definition at line 294 of file FitUtil.cxx.
Referenced by EvaluateChi2Gradient().
Definition at line 283 of file FitUtil.cxx.
Referenced by EvaluateChi2Residual().
| double ROOT::Fit::FitUtil::EvaluateChi2 | ( | const IModelFunction & | func, |
| const BinData & | data, | ||
| const double * | x, | ||
| unsigned int & | nPoints | ||
| ) |
Chi2 Functions.
evaluate the Chi2 given a model function and the data at the point x. return also nPoints as the effective number of used points in the Chi2 evaluation
Definition at line 338 of file FitUtil.cxx.
Referenced by ROOT::Fit::Chi2FCN< FunType >::DoEval().
| double ROOT::Fit::FitUtil::EvaluateChi2Effective | ( | const IModelFunction & | func, |
| const BinData & | data, | ||
| const double * | x, | ||
| unsigned int & | nPoints | ||
| ) |
evaluate the effective Chi2 given a model function and the data at the point x.
The effective chi2 uses the errors on the coordinates : W = 1/(sigma_y**2 + ( sigma_x_i * df/dx_i )**2 ) return also nPoints as the effective number of used points in the Chi2 evaluation
Definition at line 474 of file FitUtil.cxx.
Referenced by ROOT::Fit::Chi2FCN< FunType >::DoEval().
| void ROOT::Fit::FitUtil::EvaluateChi2Gradient | ( | const IModelFunction & | func, |
| const BinData & | data, | ||
| const double * | x, | ||
| double * | grad, | ||
| unsigned int & | nPoints | ||
| ) |
evaluate the Chi2 gradient given a model function and the data at the point x.
return also nPoints as the effective number of used points in the Chi2 evaluation
Definition at line 700 of file FitUtil.cxx.
Referenced by ROOT::Fit::Chi2FCN< FunType >::Gradient().
| double ROOT::Fit::FitUtil::EvaluateChi2Residual | ( | const IModelFunction & | func, |
| const BinData & | data, | ||
| const double * | p, | ||
| unsigned int | i, | ||
| double * | g = 0 |
||
| ) |
Parallel evaluate the Chi2 given a model function and the data at the point x.
evaluate the chi2 contribution (residual term) only for data with no coord-errors This function is used in the specialized least square algorithms like FUMILI or L.M.
return also nPoints as the effective number of used points in the Chi2 evaluation evaluate the residual contribution to the Chi2 given a model function and the BinPoint data and if the pointer g is not null evaluate also the gradient of the residual. If the function provides parameter derivatives they are used otherwise a simple derivative calculation is used
if we have error on the coordinates the method is not yet implemented integral option is also not yet implemented one can use in that case normal chi2 method
Definition at line 595 of file FitUtil.cxx.
Referenced by ROOT::Fit::Chi2FCN< FunType >::DataElement().
| double ROOT::Fit::FitUtil::EvaluateLogL | ( | const IModelFunction & | func, |
| const UnBinData & | data, | ||
| const double * | x, | ||
| int | iWeight, | ||
| bool | extended, | ||
| unsigned int & | nPoints | ||
| ) |
evaluate the LogL given a model function and the data at the point x.
return also nPoints as the effective number of used points in the LogL evaluation
Definition at line 893 of file FitUtil.cxx.
Referenced by ROOT::Fit::LogLikelihoodFCN< FunType >::DoEval().
| void ROOT::Fit::FitUtil::EvaluateLogLGradient | ( | const IModelFunction & | func, |
| const UnBinData & | data, | ||
| const double * | x, | ||
| double * | grad, | ||
| unsigned int & | nPoints | ||
| ) |
evaluate the LogL gradient given a model function and the data at the point x.
return also nPoints as the effective number of used points in the LogL evaluation
Definition at line 1018 of file FitUtil.cxx.
Referenced by ROOT::Fit::LogLikelihoodFCN< FunType >::Gradient().
| double ROOT::Fit::FitUtil::EvaluatePdf | ( | const IModelFunction & | func, |
| const UnBinData & | data, | ||
| const double * | x, | ||
| unsigned int | ipoint, | ||
| double * | g = 0 |
||
| ) |
evaluate the pdf contribution to the LogL given a model function and the BinPoint data.
If the pointer g is not null evaluate also the gradient of the pdf. If the function provides parameter derivatives they are used otherwise a simple derivative calculation is used
Definition at line 845 of file FitUtil.cxx.
Referenced by ROOT::Fit::LogLikelihoodFCN< FunType >::DataElement().
| double ROOT::Fit::FitUtil::EvaluatePoissonBinPdf | ( | const IModelFunction & | func, |
| const BinData & | data, | ||
| const double * | x, | ||
| unsigned int | ipoint, | ||
| double * | g = 0 |
||
| ) |
evaluate the pdf contribution to the Poisson LogL given a model function and the BinPoint data.
evaluate the pdf (Poisson) contribution to the logl (return actually log of pdf) and its gradient
If the pointer g is not null evaluate also the gradient of the Poisson pdf. If the function provides parameter derivatives they are used otherwise a simple derivative calculation is used
Definition at line 1060 of file FitUtil.cxx.
Referenced by ROOT::Fit::PoissonLikelihoodFCN< FunType >::DataElement().
| double ROOT::Fit::FitUtil::EvaluatePoissonLogL | ( | const IModelFunction & | func, |
| const BinData & | data, | ||
| const double * | x, | ||
| int | iWeight, | ||
| bool | extended, | ||
| unsigned int & | nPoints | ||
| ) |
evaluate the Poisson LogL given a model function and the data at the point x.
return also nPoints as the effective number of used points in the LogL evaluation By default is extended, pass extedend to false if want to be not extended (MultiNomial)
Definition at line 1163 of file FitUtil.cxx.
Referenced by ROOT::Fit::PoissonLikelihoodFCN< FunType >::DoEval().
| void ROOT::Fit::FitUtil::EvaluatePoissonLogLGradient | ( | const IModelFunction & | func, |
| const BinData & | data, | ||
| const double * | x, | ||
| double * | grad | ||
| ) |
evaluate the Poisson LogL given a model function and the data at the point x.
return also nPoints as the effective number of used points in the LogL evaluation
Definition at line 1344 of file FitUtil.cxx.
Referenced by ROOT::Fit::PoissonLikelihoodFCN< FunType >::Gradient().
ROOT 6.07/01 - Reference Guide Generated on Wed Dec 9 2015 00:30:03 using Doxygen 1.8.6.