Inheritance diagram for ReneFcn:
Public Member Functions | |
ReneFcn (const std::vector< double > &meas) | |
virtual | ~ReneFcn () |
virtual double | operator() (const std::vector< double > &par) const |
virtual double | Up () const |
Private Attributes | |
std::vector< double > | fMeasurements |
Definition at line 25 of file ReneTest.cxx.
ReneFcn::ReneFcn | ( | const std::vector< double > & | meas | ) | [inline] |
Definition at line 30 of file ReneTest.cxx.
virtual ReneFcn::~ReneFcn | ( | ) | [inline, virtual] |
Definition at line 32 of file ReneTest.cxx.
The meaning of the vector of parameters is of course defined by the user, who uses the values of those parameters to calculate his 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.
par | function parameters as defined by the user. |
VariableMetricMinimizer
MnMigrad
Implements ROOT::Minuit2::FCNBase.
Definition at line 34 of file ReneTest.cxx.
References a, b, c, fMeasurements, i, M_PI, max, p0(), p1(), and p2().
virtual double ReneFcn::Up | ( | ) | const [inline, virtual] |
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 61 of file ReneTest.cxx.
std::vector<double> ReneFcn::fMeasurements [private] |