TPyMultiGradFunction Class Reference

#include <TPyFitFunction.h>

Inheritance diagram for TPyMultiGradFunction:

List of all members.

Public Member Functions
	TPyMultiGradFunction (PyObject *self=0)
virtual	~TPyMultiGradFunction ()
virtual ROOT::Math::IBaseFunctionMultiDim *	Clone () const
virtual unsigned int	NDim () const
virtual double	DoEval (const double *x) const
virtual void	Gradient (const double *x, double *grad) const
virtual void	FdF (const double *x, double &f, double *df) const
virtual double	DoDerivative (const double *x, unsigned int icoord) const
	ClassDef (TPyMultiGradFunction, 1)
Private Member Functions
	TPyMultiGradFunction (const TPyMultiGradFunction &src)
TPyMultiGradFunction &	operator= (const TPyMultiGradFunction &)
Private Attributes
PyObject *	fPySelf

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Detailed Description

Definition at line 49 of file TPyFitFunction.h.

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Constructor & Destructor Documentation

TPyMultiGradFunction::TPyMultiGradFunction

(

PyObject *

self = 0

)

Referenced by Clone().

virtual TPyMultiGradFunction::~TPyMultiGradFunction

(

)

[virtual]

TPyMultiGradFunction::TPyMultiGradFunction

(

const TPyMultiGradFunction &

src

)

[inline, private]

Definition at line 69 of file TPyFitFunction.h.

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Member Function Documentation

virtual ROOT::Math::IBaseFunctionMultiDim* TPyMultiGradFunction::Clone

(

)

const [inline, virtual]

Clone a function. Each derived class must implement his version of the Clone method

Implements ROOT::Math::IBaseFunctionMultiDim.

Definition at line 56 of file TPyFitFunction.h.

References fPySelf, and TPyMultiGradFunction().

virtual unsigned int TPyMultiGradFunction::NDim

(

)

const [virtual]

Retrieve the dimension of the function

Implements ROOT::Math::IBaseFunctionMultiDim.

virtual double TPyMultiGradFunction::DoEval

(

const double *

x

)

const [virtual]

Implementation of the evaluation function. Must be implemented by derived classes

Implements ROOT::Math::IBaseFunctionMultiDim.

virtual void TPyMultiGradFunction::Gradient	(	const double *	x,
		double *	grad
	)			const [virtual]

Evaluate all the vector of function derivatives (gradient) at a point x. Derived classes must re-implement it if more efficient than evaluting one at a time

Reimplemented from ROOT::Math::IGradientFunctionMultiDim.

virtual void TPyMultiGradFunction::FdF	(	const double *	x,
		double &	f,
		double *	df
	)			const [virtual]

Optimized method to evaluate at the same time the function value and derivative at a point x. Often both value and derivatives are needed and it is often more efficient to compute them at the same time. Derived class should implement this method if performances play an important role and if it is faster to evaluate value and derivative at the same time

Reimplemented from ROOT::Math::IGradientFunctionMultiDim.

virtual double TPyMultiGradFunction::DoDerivative	(	const double *	x,
		unsigned int	icoord
	)			const [virtual]

function to evaluate the derivative with respect each coordinate. To be implemented by the derived class

Implements ROOT::Math::IGradientMultiDim.

TPyMultiGradFunction::ClassDef	(	TPyMultiGradFunction	,
		1
	)

TPyMultiGradFunction& TPyMultiGradFunction::operator=

(

const TPyMultiGradFunction &

)

[inline, private]

Definition at line 71 of file TPyFitFunction.h.

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Member Data Documentation

PyObject* TPyMultiGradFunction::fPySelf [private]

Definition at line 74 of file TPyFitFunction.h.

Referenced by Clone().

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The documentation for this class was generated from the following file:

• bindings/pyroot/inc/TPyFitFunction.h

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