class ROOT::Minuit2::Minuit2Minimizer: public ROOT::Math::Minimizer

      Default constructor

      Constructor with a char (used by PM)

      Destructor (no operations)

 usually copying is non trivial, so we make this unaccessible

      Copy constructor

 clear resources (parameters) for consecutives minimizations

 set the function to minimize

 set gradient the function to minimize

 set free variable

 set lower limit variable  (override if minimizer supports them )

 set upper/lower limited variable (override if minimizer supports them )

 set fixed variable (override if minimizer supports them )

 set variable

 get name of variables (override if minimizer support storing of variable names)

 method to perform the minimization

 return minimum function value

 return expected distance reached from the minimum

 return  pointer to X values at the minimum

 return pointer to gradient values at the minimum

 number of function calls to reach the minimum

 this is <= Function().NDim() which is the total
 number of variables (free+ constrained ones)

 number of free variables (real dimension of the problem)
 this is <= Function().NDim() which is the total

 minimizer provides error and error matrix

 return errors at the minimum

       return covariance matrices elements
       if the variable is fixed or const the value is zero
       The ordering of the variables is the same as in errors and parameter value.
       This is different from the direct interface of Minuit2 or TMinuit where the
       values were obtained only to variable parameters

      return correlation coefficient between variable i and j.
      If the variable is fixed or const the return value is zero

      get global correlation coefficient for the variable i. This is a number between zero and one which gives
      the correlation between the i-th variable  and that linear combination of all other variables which
      is most strongly correlated with i.
      If the variable is fixed or const the return value is zero

      get the minos error for parameter i, return false if Minos failed
      A minimizaiton must be performed befre, return false if no minimization has been done

      scan a parameter i around the minimum. A minimization must have been done before,
      return false if it is not the case

      find the contour points (xi,xj) of the function for parameter i and j around the minimum
      The contour will be find for value of the function = Min + ErrorUp();

 return reference to the objective function
virtual const ROOT::Math::IGenFunction & Function() const;
 protected function for accessing the internal Minuit2 object. Needed for derived classes

 examine the minimum result