| BaseFCN typedef | ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType > | |
| BaseFunction typedef | ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType > | |
| BaseObjFunction typedef | ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType > | |
| BasicFCN(const std::shared_ptr< DataType > &data, const std::shared_ptr< IModelFunction > &func) | ROOT::Fit::BasicFCN< DerivFunType, ModelFunType, DataType > | inlineprotected |
| BasicFitMethodFunction(int dim, int npoint) | ROOT::Math::BasicFitMethodFunction< DerivFunType > | inline |
| Clone() const | ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType > | inlinevirtual |
| Data() const | ROOT::Fit::BasicFCN< DerivFunType, ModelFunType, DataType > | inlinevirtual |
| DataElement(const double *x, unsigned int i, double *g, double *h=nullptr, bool fullHessian=false) const | ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType > | inlinevirtual |
| DataPtr() const | ROOT::Fit::BasicFCN< DerivFunType, ModelFunType, DataType > | inline |
| DoDerivative(const double *x, unsigned int icoord) const | ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType > | inlineprivatevirtual |
| DoEval(const double *x) const | ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType > | inlineprivatevirtual |
| fData | ROOT::Fit::BasicFCN< DerivFunType, ModelFunType, DataType > | protected |
| fExecutionPolicy | ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType > | private |
| fFunc | ROOT::Fit::BasicFCN< DerivFunType, ModelFunType, DataType > | protected |
| fGrad | ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType > | mutableprivate |
| fIsExtended | ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType > | private |
| fNCalls | ROOT::Math::BasicFitMethodFunction< DerivFunType > | mutableprivate |
| fNDim | ROOT::Math::BasicFitMethodFunction< DerivFunType > | private |
| fNEffPoints | ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType > | mutableprivate |
| fNPoints | ROOT::Math::BasicFitMethodFunction< DerivFunType > | private |
| fWeight | ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType > | private |
| G2(const double *, double *) const | ROOT::Math::BasicFitMethodFunction< DerivFunType > | inlinevirtual |
| Gradient(const double *x, double *g) const | ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType > | inlinevirtual |
| HasHessian() const | ROOT::Fit::BasicFCN< DerivFunType, ModelFunType, DataType > | inlinevirtual |
| Hessian(const double *x, double *hess) const | ROOT::Math::BasicFitMethodFunction< DerivFunType > | inlinevirtual |
| IGradModelFunction typedef | ROOT::Fit::BasicFCN< DerivFunType, ModelFunType, DataType > | protected |
| IModelFunction typedef | ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType > | |
| IsAGradFCN() | ROOT::Math::BasicFitMethodFunction< DerivFunType > | inlinestatic |
| IsAGradFCN() | ROOT::Math::BasicFitMethodFunction< DerivFunType > | inline |
| kLeastSquare enum value | ROOT::Math::BasicFitMethodFunction< DerivFunType > | |
| kLogLikelihood enum value | ROOT::Math::BasicFitMethodFunction< DerivFunType > | |
| kPoissonLikelihood enum value | ROOT::Math::BasicFitMethodFunction< DerivFunType > | |
| kUndefined enum value | ROOT::Math::BasicFitMethodFunction< DerivFunType > | |
| LogLikelihoodFCN(const std::shared_ptr< UnBinData > &data, const std::shared_ptr< IModelFunction > &func, int weight=0, bool extended=false, const ::ROOT::EExecutionPolicy &executionPolicy=::ROOT::EExecutionPolicy::kSequential) | ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType > | inline |
| LogLikelihoodFCN(const UnBinData &data, const IModelFunction &func, int weight=0, bool extended=false, const ::ROOT::EExecutionPolicy &executionPolicy=::ROOT::EExecutionPolicy::kSequential) | ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType > | inline |
| LogLikelihoodFCN(const LogLikelihoodFCN &f) | ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType > | inline |
| ModelFunction() const | ROOT::Fit::BasicFCN< DerivFunType, ModelFunType, DataType > | inlinevirtual |
| ModelFunctionPtr() const | ROOT::Fit::BasicFCN< DerivFunType, ModelFunType, DataType > | inline |
| NCalls() const | ROOT::Math::BasicFitMethodFunction< DerivFunType > | inlinevirtual |
| NDim() const override | ROOT::Math::BasicFitMethodFunction< DerivFunType > | inline |
| NFitPoints() const | ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType > | inlinevirtual |
| NPoints() const | ROOT::Math::BasicFitMethodFunction< DerivFunType > | inlinevirtual |
| operator=(const LogLikelihoodFCN &rhs) | ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType > | inline |
| ResetNCalls() | ROOT::Math::BasicFitMethodFunction< DerivFunType > | inlinevirtual |
| SetData(const std::shared_ptr< DataType > &data) | ROOT::Fit::BasicFCN< DerivFunType, ModelFunType, DataType > | inlineprotected |
| SetModelFunction(const std::shared_ptr< IModelFunction > &func) | ROOT::Fit::BasicFCN< DerivFunType, ModelFunType, DataType > | inlineprotected |
| T typedef | ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType > | |
| Type() const | ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType > | inlinevirtual |
| Type_t typedef | ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType > | |
| UpdateNCalls() const | ROOT::Math::BasicFitMethodFunction< DerivFunType > | inlinevirtual |
| UseSumOfWeightSquare(bool on=true) | ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType > | inline |
| ~BasicFCN() | ROOT::Fit::BasicFCN< DerivFunType, ModelFunType, DataType > | inlineprotectedvirtual |
| ~BasicFitMethodFunction() override | ROOT::Math::BasicFitMethodFunction< DerivFunType > | inline |
| ~LogLikelihoodFCN() | ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType > | inlinevirtual |
