Abstract class representing interface to a differentiable function. More...

#include <ArtificialLandscapes.hpp>

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

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

Public Member Functions
	DifferentiableFunction (size_t dims_)
	Constructor. Asserts whether dimensions must be > 0. More...

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

virtual eT	calculateValue (mic::types::MatrixPtr< eT > x_)=0

virtual mic::types::MatrixPtr< eT >	calculateGradient (mic::types::MatrixPtr< eT > x_)=0

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

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

Protected Attributes
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::DifferentiableFunction< eT >

Abstract class representing interface to a differentiable function.

Author: tkornuta

Definition at line 40 of file ArtificialLandscapes.hpp.

Constructor & Destructor Documentation

template<typename eT = float>

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

inline

Constructor. Asserts whether dimensions must be > 0.

Definition at line 43 of file ArtificialLandscapes.hpp.

template<typename eT = float>

virtual mic::neural_nets::optimization::artificial_landscapes::DifferentiableFunction< eT >::~DifferentiableFunction ( )

inlinevirtual

Virtual destructor - empty.

Definition at line 48 of file ArtificialLandscapes.hpp.

Member Function Documentation

template<typename eT = float>

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

pure virtual

Implemented in mic::neural_nets::optimization::artificial_landscapes::Rosenbrock2DFunction< eT >, mic::neural_nets::optimization::artificial_landscapes::Rosenbrock2DFunction< double >, mic::neural_nets::optimization::artificial_landscapes::Beale2DFunction< eT >, mic::neural_nets::optimization::artificial_landscapes::Beale2DFunction< double >, mic::neural_nets::optimization::artificial_landscapes::SphereFunction< eT >, and mic::neural_nets::optimization::artificial_landscapes::SphereFunction< double >.

template<typename eT = float>

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

pure virtual

Implemented in mic::neural_nets::optimization::artificial_landscapes::Rosenbrock2DFunction< eT >, mic::neural_nets::optimization::artificial_landscapes::Rosenbrock2DFunction< double >, mic::neural_nets::optimization::artificial_landscapes::Beale2DFunction< eT >, mic::neural_nets::optimization::artificial_landscapes::Beale2DFunction< double >, mic::neural_nets::optimization::artificial_landscapes::SphereFunction< eT >, and mic::neural_nets::optimization::artificial_landscapes::SphereFunction< double >.

template<typename eT = float>

mic::types::MatrixPtr<eT> mic::neural_nets::optimization::artificial_landscapes::DifferentiableFunction< eT >::minArguments ( )

inline

Returns the vector of arguments being the function minimum.

Definition at line 57 of file ArtificialLandscapes.hpp.

template<typename eT = float>