template<class
Function>
class ROOT::Minuit2::FCNGradAdapter< Function >
template wrapped class for adapting to FCNBase signature a IGradFunction
- Author
- Lorenzo Moneta
Definition at line 36 of file FCNGradAdapter.h.
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| FCNGradAdapter (const Function &f, double up=1.) |
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| ~FCNGradAdapter () |
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bool | CheckGradient () const |
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std::vector< double > | Gradient (const std::vector< double > &v) const |
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double | operator() (const double *v) const |
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double | operator() (const std::vector< double > &v) const |
| The meaning of the vector of parameters is of course defined by the user, who uses the values of those parameters to calculate their function Value. More...
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double | Up () const |
| Error definition of the function. More...
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virtual | ~FCNGradientBase () |
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virtual bool | CheckGradient () const |
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virtual std::vector< double > | Gradient (const std::vector< double > &) const =0 |
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virtual | ~FCNBase () |
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virtual double | ErrorDef () const |
| Error definition of the function. More...
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virtual double | operator() (const std::vector< double > &x) const =0 |
| The meaning of the vector of parameters is of course defined by the user, who uses the values of those parameters to calculate their function Value. More...
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virtual void | SetErrorDef (double) |
| add interface to set dynamically a new error definition Re-implement this function if needed. More...
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virtual double | Up () const =0 |
| Error definition of the function. More...
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virtual | ~GenericFunction () |
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virtual double | operator() (const std::vector< double > &x) const =0 |
| Evaluates the function using the vector containing the input values. More...
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The meaning of the vector of parameters is of course defined by the user, who uses the values of those parameters to calculate their function Value.
The order and the position of these parameters is strictly the one specified by the user when supplying the starting values for minimization. The starting values must be specified by the user, either via an std::vector<double> or the MnUserParameters supplied as input to the MINUIT minimizers such as VariableMetricMinimizer or MnMigrad. Later values are determined by MINUIT as it searches for the Minimum or performs whatever analysis is requested by the user.
- Parameters
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par | function parameters as defined by the user. |
- Returns
- the Value of the function.
- See also
- MnUserParameters
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VariableMetricMinimizer
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MnMigrad
Implements ROOT::Minuit2::FCNBase.
Definition at line 50 of file FCNGradAdapter.h.
Error definition of the function.
MINUIT defines Parameter errors as the change in Parameter Value required to change the function Value by up. Normally, for chisquared fits it is 1, and for negative log likelihood, its Value is 0.5. If the user wants instead the 2-sigma errors for chisquared fits, it becomes 4, as Chi2(x+n*sigma) = Chi2(x) + n*n.
Implements ROOT::Minuit2::FCNBase.
Definition at line 57 of file FCNGradAdapter.h.