GradFunc2D Class Reference

Inheritance diagram for GradFunc2D:

List of all members.

Public Member Functions
void	SetParameters (const double *p)
const double *	Parameters () const
ROOT::Math::IMultiGenFunction *	Clone () const
unsigned int	NDim () const
unsigned int	NPar () const
void	ParameterGradient (const double *x, const double *, double *grad) const
Private Member Functions
double	DoEvalPar (const double *x, const double *p) const
double	DoParameterDerivative (const double *x, const double *p, unsigned int ipar) const
Private Attributes
double	fp [5]

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Detailed Description

Definition at line 374 of file testFit.cxx.

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Member Function Documentation

void GradFunc2D::SetParameters

(

const double *

p

)

[inline, virtual]

Set the parameter values

Parameters:

p

vector of doubles containing the parameter values.

to be defined: can user change number of params ? At the moment no.

Implements ROOT::Math::IBaseParam.

Definition at line 376 of file testFit.cxx.

References copy(), fp, and NPar().

const double* GradFunc2D::Parameters

(

)

const [inline, virtual]

Access the parameter values

Implements ROOT::Math::IBaseParam.

Definition at line 377 of file testFit.cxx.

References fp.

ROOT::Math::IMultiGenFunction* GradFunc2D::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 378 of file testFit.cxx.

References fp.

unsigned int GradFunc2D::NDim

(

)

const [inline, virtual]

Retrieve the dimension of the function

Implements ROOT::Math::IBaseFunctionMultiDim.

Definition at line 383 of file testFit.cxx.

unsigned int GradFunc2D::NPar

(

)

const [inline, virtual]

Return the number of Parameters

Implements ROOT::Math::IBaseParam.

Definition at line 384 of file testFit.cxx.

Referenced by DoParameterDerivative(), and SetParameters().

void GradFunc2D::ParameterGradient	(	const double *	x,
		const double *	,
		double *	grad
	)			const [inline, virtual]

Evaluate the all the derivatives (gradient vector) of the function with respect to the parameters at a point x. It is optional to be implemented by the derived classes for better efficiency

Reimplemented from ROOT::Math::IParametricGradFunctionMultiDim.

Definition at line 386 of file testFit.cxx.

Referenced by DoParameterDerivative().

double GradFunc2D::DoEvalPar	(	const double *	x,
		const double *	p
	)			const [inline, private, virtual]

Implementation of the evaluation function using the x values and the parameters. Must be implemented by derived classes

Implements ROOT::Math::IParametricFunctionMultiDim.

Definition at line 396 of file testFit.cxx.

double GradFunc2D::DoParameterDerivative	(	const double *	x,
		const double *	p,
		unsigned int	ipar
	)			const [inline, private, virtual]

Evaluate the partial derivative w.r.t a parameter ipar , to be implemented by the derived classes

Implements ROOT::Math::IParametricGradFunctionMultiDim.

Definition at line 407 of file testFit.cxx.

References NPar(), and ParameterGradient().

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Member Data Documentation

double GradFunc2D::fp[5] [private]

Definition at line 413 of file testFit.cxx.

Referenced by Clone(), Parameters(), and SetParameters().

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

• math/mathcore/test/fit/testFit.cxx

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