10 #ifndef ROOT_Minuit2_MnHesse 11 #define ROOT_Minuit2_MnHesse 24 class MnUserParameterState;
25 class MnUserParameters;
26 class MnUserCovariance;
27 class MnUserTransformation;
29 class MnMachinePrecision;
31 class FunctionMinimum;
99 #endif // ROOT_Minuit2_MnHesse
Namespace for new ROOT classes and functions.
MnHesse(const MnStrategy &stra)
conctructor with specific strategy
double HessianStepTolerance() const
MnHesse()
default constructor with default strategy
class holding the full result of the minimization; both internal and external (MnUserParameterState) ...
API class for calculating the numerical covariance matrix (== 2x Inverse Hessian == 2x Inverse 2nd de...
unsigned int HessianNCycles() const
double HessianG2Tolerance() const
Wrapper class to FCNBase interface used internally by Minuit.
Interface (abstract class) defining the function to be minimized, which has to be implemented by the ...
class which holds the external user and/or internal Minuit representation of the parameters and error...
API class for the user interaction with the parameters; serves as input to the minimizer as well as o...
MnHesse(unsigned int stra)
constructor with user-defined strategy level
MnUserParameterState operator()(const FCNBase &, const std::vector< double > &, const std::vector< double > &, unsigned int maxcalls=0) const
low-level API
unsigned int Ncycles() const
forward interface of MnStrategy
MinimumState keeps the information (position, Gradient, 2nd deriv, etc) after one minimization step (...
API class for defining three levels of strategies: low (0), medium (1), high (>=2); acts on: Migrad (...
Class containing the covariance matrix data represented as a vector of size n*(n+1)/2 Used to hide in...