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.
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| LSResidualFunc () |
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| LSResidualFunc (const Func &func, unsigned int i) |
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| LSResidualFunc (const LSResidualFunc< Func > &rhs) |
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IMultiGenFunction * | Clone () const override |
| Clone a function.
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void | FdF (const double *x, double &f, double *g) const override |
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void | Gradient (const double *x, double *g) const override |
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unsigned int | NDim () const override |
| Retrieve the dimension of the function.
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LSResidualFunc< Func > & | operator= (const LSResidualFunc< Func > &rhs) |
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virtual | ~IGradientFunctionMultiDimTempl () |
| Virtual Destructor (no operations)
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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.
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virtual void | Gradient (const T *x, T *grad) const |
| Evaluate all the vector of function derivatives (gradient) at a point x.
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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.
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virtual bool | returnsInMinuit2ParameterSpace () const |
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| IBaseFunctionMultiDimTempl () |
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virtual | ~IBaseFunctionMultiDimTempl () |
| virtual destructor
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T | operator() (const T *x) const |
| Evaluate the function at a point x[].
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virtual | ~IGradientMultiDimTempl () |
| virtual destructor
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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.
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T | Derivative (const T *x, unsigned int icoord=0) const |
| Return the partial derivative with respect to the passed coordinate.
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