template<
class Func>
class ROOT::Math::LSResidualFunc< Func >
LSResidualFunc class description. 
Internal class used for accessing the residuals of the Least Square function and their derivatives which are estimated numerically using GSL numerical derivation. The class contains a pointer to the fit method function and an index specifying the i-th residual and wraps it in a multi-dim gradient function interface ROOT::Math::IGradientFunctionMultiDim. The class is used by ROOT::Math::GSLNLSMinimizer (GSL non linear least square fitter) 
Definition at line 135 of file GSLNLSMinimizer.cxx.
|  | 
|  | LSResidualFunc () | 
|  | 
|  | LSResidualFunc (const Func &func, unsigned int i) | 
|  | 
|  | LSResidualFunc (const LSResidualFunc< Func > &rhs) | 
|  | 
| IMultiGenFunction * | Clone () const override | 
|  | Clone a function. 
 | 
|  | 
| void | FdF (const double *x, double &f, double *g) const override | 
|  | 
| void | Gradient (const double *x, double *g) const override | 
|  | 
| unsigned int | NDim () const override | 
|  | Retrieve the dimension of the function. 
 | 
|  | 
| LSResidualFunc< Func > & | operator= (const LSResidualFunc< Func > &rhs) | 
|  | 
| T | Derivative (const T *x, unsigned int icoord, T *previous_grad, T *previous_g2, T *previous_gstep) const | 
|  | In some cases, the derivative algorithm will use information from the previous step, these can be passed in with this overload. 
 | 
|  | 
| T | Derivative (const T *x, unsigned int icoord=0) const | 
|  | Return the partial derivative with respect to the passed coordinate. 
 | 
|  | 
| virtual void | FdF (const T *x, T &f, T *df) const | 
|  | Optimized method to evaluate at the same time the function value and derivative at a point x. 
 | 
|  | 
| virtual void | Gradient (const T *x, T *grad) const | 
|  | Evaluate all the vector of function derivatives (gradient) at a point x. 
 | 
|  | 
| virtual void | GradientWithPrevResult (const T *x, T *grad, T *previous_grad, T *previous_g2, T *previous_gstep) const | 
|  | In some cases, the gradient algorithm will use information from the previous step, these can be passed in with this overload. 
 | 
|  | 
| bool | HasGradient () const | 
|  | 
| virtual bool | returnsInMinuit2ParameterSpace () const | 
|  | 
| virtual | ~IBaseFunctionMultiDimTempl ()=default | 
|  | 
| T | operator() (const T *x) const | 
|  | Evaluate the function at a point x[]. 
 | 
|  |