Class implementing the standard chi square function, which is the sum of the squares of the figures-of-merit calculated for each measurement point, the individual figures-of-merit being: (the Value predicted by the model-measured Value)/standard deviation.
- Author
- Andras Zsenei and Lorenzo Moneta, Creation date: 31 Aug 2004
- See also
- FumiliChi2FCN
Definition at line 43 of file FumiliStandardChi2FCN.h.
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| FumiliStandardChi2FCN (const ParametricFunction &modelFCN, std::span< const double > meas, std::span< const double > pos, std::span< const double > mvar) |
| Constructor which initializes chi square function for one-dimensional model function.
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| FumiliStandardChi2FCN (const ParametricFunction &modelFCN, std::span< const double > meas, std::span< const std::vector< double > > pos, std::span< const double > mvar) |
| Constructor which initializes the multi-dimensional model function.
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std::vector< double > | Elements (std::vector< double > const &par) const override |
| Evaluates the model function for the different measurement points and the Parameter values supplied, calculates a figure-of-merit for each measurement and returns a vector containing the result of this evaluation.
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void | EvaluateAll (std::vector< double > const &par) override |
| Evaluate function Value, Gradient and Hessian using Fumili approximation, for values of parameters p The result is cached inside and is return from the FumiliFCNBase::Value , FumiliFCNBase::Gradient and FumiliFCNBase::Hessian methods.
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const std::vector< double > & | GetMeasurement (int Index) const override |
| Accessor to the position of the measurement (x coordinate).
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int | GetNumberOfMeasurements () const override |
| Accessor to the number of measurements used for calculating the chi-square.
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| FumiliChi2FCN () |
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| ~FumiliChi2FCN () override |
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const ParametricFunction * | ModelFunction () const |
| Returns the model function used for the data.
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double | operator() (std::vector< double > const &par) const override |
| Calculates the sum of Elements squared, ie the chi-square.
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void | SetModelFunction (const ParametricFunction &modelFCN) |
| Sets the model function for the data (for example gaussian+linear for a peak)
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double | Up () const override |
| !!!!!!!!!!!! to be commented
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| FumiliFCNBase () |
| Default Constructor.
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| FumiliFCNBase (unsigned int npar) |
| Constructor which initializes the class with the function provided by the user for modeling the data.
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| ~FumiliFCNBase () override |
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virtual unsigned int | Dimension () |
| return number of function variable (parameters) , i.e.
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virtual const std::vector< double > & | Gradient () const |
| Return cached Value of function Gradient estimated previously using the FumiliFCNBase::EvaluateAll method.
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std::vector< double > | Gradient (std::vector< double > const &) const override |
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bool | HasGradient () const override |
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std::vector< double > | Hessian (std::vector< double > const &) const override |
| Return Value of the i-th j-th element of the Hessian matrix estimated previously using the FumiliFCNBase::EvaluateAll method.
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virtual double | Hessian (unsigned int row, unsigned int col) const |
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virtual double | Value () const |
| Return cached Value of objective function estimated previously using the FumiliFCNBase::EvaluateAll method.
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virtual double | ErrorDef () const |
| Error definition of the function.
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virtual std::vector< double > | G2 (std::vector< double > const &) const |
| return second derivatives (diagonal of the Hessian matrix)
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virtual std::vector< double > | GradientWithPrevResult (std::vector< double > const ¶meters, double *, double *, double *) const |
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virtual GradientParameterSpace | gradParameterSpace () const |
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virtual bool | HasG2 () const |
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virtual bool | HasHessian () const |
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virtual void | SetErrorDef (double) |
| add interface to set dynamically a new error definition Re-implement this function if needed.
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virtual | ~GenericFunction () |
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std::vector< double > ROOT::Minuit2::FumiliStandardChi2FCN::Elements |
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std::vector< double > const & |
par | ) |
const |
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overridevirtual |
Evaluates the model function for the different measurement points and the Parameter values supplied, calculates a figure-of-merit for each measurement and returns a vector containing the result of this evaluation.
The figure-of-merit is (Value predicted by the model function-measured Value)/standard deviation.
- Parameters
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par | vector of Parameter values to feed to the model function. |
- Returns
- A vector containing the figures-of-merit for the model function evaluated for each set of measurements.
Implements ROOT::Minuit2::FumiliChi2FCN.
Definition at line 19 of file FumiliStandardChi2FCN.cxx.