Approximator function of 2 variables that is based on a general approximator function of vector argument. More...

Inheritance diagram for IG::Neural::Func2dFromApproximator:

Collaboration diagram for IG::Neural::Func2dFromApproximator:

Public Member Functions
	Func2dFromApproximator (INeuralApproximator originalFunction)
	Constructs a approximator function of 2 variables from the specified approximator function of a vector argument.
override double	Value (double x, double y)
	Calculates and returns value of the current 2D scalar function.
override void	Gradient (double x, double y, out double gradx, out double grady)
	Calculates gradient of the current 2D scalar function and returns its components through the specified output variables.
override void	Hessian (double x, double y, out double dxx, out double dyy, out double dxy)
	Calculates Hessian of the current 2D scalar function and returns its component through the specified output variables.
Protected Member Functions
	Func2dFromApproximator ()
Properties
INeuralApproximator	OriginalFunction `[get, set]`
	Approximator function of vector argument that is used for evaluation of the current function value, gradient, and Hessian.
Private Attributes
INeuralApproximator	_originalFunction

Detailed Description

Approximator function of 2 variables that is based on a general approximator function of vector argument.

$A Igor Oct11, Tako78 Nov23;

Constructor & Destructor Documentation

IG::Neural::Func2dFromApproximator::Func2dFromApproximator ( ) [inline, protected]

IG::Neural::Func2dFromApproximator::Func2dFromApproximator ( INeuralApproximator originalFunction ) [inline]

Constructs a approximator function of 2 variables from the specified approximator function of a vector argument.

Parameters:

scalarFunction Original approximator function of vector argument used for evaluation.

override double IG::Neural::Func2dFromApproximator::Value	(	double	x,
		double	y
	)		`[inline]`

Calculates and returns value of the current 2D scalar function.

Parameters:

override void IG::Neural::Func2dFromApproximator::Gradient	(	double	x,
		double	y,
		out double	gradx,
		out double	grady
	)		`[inline]`

Calculates gradient of the current 2D scalar function and returns its components through the specified output variables.

Parameters:

x	First parameter.
y	Second parameter.
gradx	First component of the returned gradient.
grady	Second component of the returned gradient.

override void IG::Neural::Func2dFromApproximator::Hessian	(	double	x,
		double	y,
		out double	dxx,
		out double	dyy,
		out double	dxy
	)		`[inline]`

Calculates Hessian of the current 2D scalar function and returns its component through the specified output variables.

Parameters:

x	First parameter.
y	Second parameter.
dxx	Component 1-1 of the calculated Hessian.
dyy	Component 2-2 of the calculated Hessian.
dxy	Component 1-2 of the calculated Hessian.

INeuralApproximator IG::Neural::Func2dFromApproximator::OriginalFunction [get, set]

Approximator function of vector argument that is used for evaluation of the current function value, gradient, and Hessian.

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