A sphere function - square function generalized to n dimensions. More...

#include <ArtificialLandscapes.hpp>

Inheritance diagram for mic::neural_nets::optimization::artificial_landscapes::SphereFunction< eT >:

Collaboration diagram for mic::neural_nets::optimization::artificial_landscapes::SphereFunction< eT >:

Public Member Functions
	SphereFunction (size_t dims_)
	Constructor. More...

eT	calculateValue (mic::types::MatrixPtr< eT > x_)

mic::types::MatrixPtr< eT >	calculateGradient (mic::types::MatrixPtr< eT > x_)

Public Member Functions inherited from mic::neural_nets::optimization::artificial_landscapes::DifferentiableFunction< eT >
	DifferentiableFunction (size_t dims_)
	Constructor. Asserts whether dimensions must be > 0. More...

virtual	~DifferentiableFunction ()
	Virtual destructor - empty. More...

mic::types::MatrixPtr< eT >	minArguments ()
	Returns the vector of arguments being the function minimum. More...

eT	minValue ()
	Returns min value of the function. More...

Additional Inherited Members
Protected Attributes inherited from mic::neural_nets::optimization::artificial_landscapes::DifferentiableFunction< eT >
size_t	dims
	Number of function dimensions (input variables). More...

mic::types::MatrixPtr< eT >	min_arguments
	vector of arguments for which the function has a minimum. More...

eT	min_value
	Minimal value. More...

Detailed Description

template<typename eT = float>
class mic::neural_nets::optimization::artificial_landscapes::SphereFunction< eT >

A sphere function - square function generalized to n dimensions.

Author: tkornuta

Definition at line 80 of file ArtificialLandscapes.hpp.

Constructor & Destructor Documentation

template<typename eT = float>

mic::neural_nets::optimization::artificial_landscapes::SphereFunction< eT >::SphereFunction ( size_t dims_ )

inline

Constructor.

Definition at line 84 of file ArtificialLandscapes.hpp.

Member Function Documentation

template<typename eT = float>

mic::types::MatrixPtr<eT> mic::neural_nets::optimization::artificial_landscapes::SphereFunction< eT >::calculateGradient ( mic::types::MatrixPtr< eT > x_ )

inlinevirtual

Calculates gradient of a function in a given point.

Implements mic::neural_nets::optimization::artificial_landscapes::DifferentiableFunction< eT >.

Definition at line 106 of file ArtificialLandscapes.hpp.

Referenced by TEST().

template<typename eT = float>

eT mic::neural_nets::optimization::artificial_landscapes::SphereFunction< eT >::calculateValue ( mic::types::MatrixPtr< eT > x_ )

inlinevirtual

Calculates value of a function for a given point.

Implements mic::neural_nets::optimization::artificial_landscapes::DifferentiableFunction< eT >.

Definition at line 94 of file ArtificialLandscapes.hpp.

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