GradFunctor class for Multidimensional gradient functions.
It is used to wrap in a very C++ callable object to make gradient functions. It can be constructed in three different way:
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from an object implementing both double operator()( const double * ) for the function evaluation and double Derivative(const double *, int icoord) for the partial derivatives
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from an object implementing any member function like Foo::XXX(const double *) for the function evaluation and any member function like Foo::XXX(const double *, int icoord) for the partial derivatives
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from two function objects implementing double operator()( const double * ) for the function evaluation and another function object implementing double operator() (const double *, int icoord) for the partial derivatives
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from two function objects
The function dimension is required when constructing the functor.
Definition at line 144 of file Functor.h.
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| | GradFunctor ()=default |
| | Default constructor.
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| template<typename Func > |
| | GradFunctor (const Func &f, unsigned int dim) |
| | construct from a callable object of multi-dimension implementing operator()(const double *x) and Derivative(const double * x,icoord)
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| template<class PtrObj , typename MemFn , typename DerivMemFn , std::enable_if_t< std::is_floating_point< decltype((std::declval< std::remove_pointer_t< PtrObj > >().*std::declval< DerivMemFn >())(std::declval< const double * >(), std::declval< int >()))>::value , bool > |
| | GradFunctor (const PtrObj &p, MemFn memFn, DerivMemFn gradFn, unsigned int dim) |
| | Construct from a pointer to member function and member function types for function and derivative evaluations.
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| template<class PtrObj , typename MemFn , typename GradMemFn , std::enable_if_t< std::is_void< decltype((std::declval< std::remove_pointer_t< PtrObj > >().*std::declval< GradMemFn >())(std::declval< const double * >(), std::declval< double * >()))>::value , bool > |
| | GradFunctor (const PtrObj &p, MemFn memFn, GradMemFn gradFn, unsigned int dim) |
| | Construct from a pointer to member function and member function, types for function and full derivative evaluations.
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| | GradFunctor (std::function< double(double const *)> const &f, std::function< double(double const *, unsigned int)> const &g, unsigned int dim) |
| | Construct for Gradient Functions of multi-dimension Func gives the function evaluation, GradFunc the partial derivatives The function dimension is required.
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| | GradFunctor (std::function< double(double const *)> const &f, unsigned int dim, std::function< void(double const *, double *)> const &g) |
| | Construct a new GradFunctor object using 2 std::function, one for the function evaluation and one for the Gradient Note the difference with the constructor above where partial derivative function is used as input.
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| GradFunctor * | Clone () const override |
| | Clone a function.
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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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| bool | HasGradient () const override |
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| virtual | ~IBaseFunctionMultiDimTempl ()=default |
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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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| 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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| T | operator() (const T *x) const |
| | Evaluate the function at a point x[].
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Public Member Functions inherited from ROOT::Math::IGradientFunctionMultiDimTempl< T >
