2D Rosenbrock function. More...

#include <ArtificialLandscapes.hpp>

Inheritance diagram for mic::neural_nets::optimization::artificial_landscapes::Rosenbrock2DFunction< eT >:

Collaboration diagram for mic::neural_nets::optimization::artificial_landscapes::Rosenbrock2DFunction< eT >:

Public Member Functions
	Rosenbrock2DFunction (eT a_=1, eT b_=100)
	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...

Private Attributes
eT	a
	Coefficients. More...

eT	b

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::Rosenbrock2DFunction< eT >

2D Rosenbrock function.

Author: tkornuta

Definition at line 187 of file ArtificialLandscapes.hpp.

Constructor & Destructor Documentation

template<typename eT = float>

mic::neural_nets::optimization::artificial_landscapes::Rosenbrock2DFunction< eT >::Rosenbrock2DFunction	(	eT	a_ = `1`,
		eT	b_ = `100`
	)

inline

Constructor.

Definition at line 191 of file ArtificialLandscapes.hpp.

Member Function Documentation

template<typename eT = float>

mic::types::MatrixPtr<eT> mic::neural_nets::optimization::artificial_landscapes::Rosenbrock2DFunction< 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 218 of file ArtificialLandscapes.hpp.

template<typename eT = float>

eT mic::neural_nets::optimization::artificial_landscapes::Rosenbrock2DFunction< 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 202 of file ArtificialLandscapes.hpp.