roboptim::finiteDifferenceGradientPolicies::Simple< T > Class Template Reference

Fast finite difference gradient computation. More...

#include <roboptim/core/decorator/finite-difference-gradient.hh>

Inheritance diagram for roboptim::finiteDifferenceGradientPolicies::Simple< T >:

List of all members.

Public Types
typedef Policy< T >	policy_t
Public Member Functions
	ROBOPTIM_DIFFERENTIABLE_FUNCTION_FWD_TYPEDEFS_ (GenericDifferentiableFunction< T >)
	Simple (const GenericFunction< T > &adaptee)
void	computeColumn (value_type epsilon, gradient_ref column, const_argument_ref argument, size_type colIdx, argument_ref xEps) const
void	computeGradient (value_type epsilon, gradient_ref gradient, const_argument_ref argument, size_type idFunction, argument_ref xEps) const
void	computeJacobian (value_type epsilon, jacobian_ref jacobian, const_argument_ref argument, argument_ref xEps) const
template<>
void	computeGradient (value_type epsilon, gradient_ref gradient, const_argument_ref argument, size_type idFunction, argument_ref xEps) const
template<>
void	computeColumn (value_type epsilon, gradient_ref column, const_argument_ref argument, size_type colIdx, argument_ref xEps) const

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Detailed Description

template<typename T>
class roboptim::finiteDifferenceGradientPolicies::Simple< T >

Fast finite difference gradient computation.

Finite difference is computed using forward difference.

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Member Typedef Documentation

template<typename T >

typedef Policy<T> roboptim::finiteDifferenceGradientPolicies::Simple< T >::policy_t

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Constructor & Destructor Documentation

template<typename T >

roboptim::finiteDifferenceGradientPolicies::Simple< T >::Simple

(

const GenericFunction< T > &

adaptee

)

[inline, explicit]

---

Member Function Documentation

template<typename T >

void roboptim::finiteDifferenceGradientPolicies::Simple< T >::computeColumn	(	value_type	epsilon,
		gradient_ref	column,
		const_argument_ref	argument,
		size_type	colIdx,
		argument_ref	xEps
	)		const [virtual]

Implements roboptim::finiteDifferenceGradientPolicies::Policy< T >.

References result_.

template<>

void roboptim::finiteDifferenceGradientPolicies::Simple< EigenMatrixSparse >::computeColumn	(	value_type	epsilon,
		gradient_ref	column,
		const_argument_ref	argument,
		size_type	colIdx,
		argument_ref	xEps
	)		const [inline, virtual]

Implements roboptim::finiteDifferenceGradientPolicies::Policy< T >.

References result_.

template<typename T >

void roboptim::finiteDifferenceGradientPolicies::Simple< T >::computeGradient	(	value_type	epsilon,
		gradient_ref	gradient,
		const_argument_ref	argument,
		size_type	idFunction,
		argument_ref	xEps
	)		const [virtual]

Implements roboptim::finiteDifferenceGradientPolicies::Policy< T >.

References roboptim::GenericFunction< T >::inputSize(), and result_.

template<>

void roboptim::finiteDifferenceGradientPolicies::Simple< EigenMatrixSparse >::computeGradient	(	value_type	epsilon,
		gradient_ref	gradient,
		const_argument_ref	argument,
		size_type	idFunction,
		argument_ref	xEps
	)		const [inline, virtual]

Implements roboptim::finiteDifferenceGradientPolicies::Policy< T >.

References roboptim::GenericFunction< T >::inputSize(), and result_.

template<typename T >

void roboptim::finiteDifferenceGradientPolicies::Simple< T >::computeJacobian	(	value_type	epsilon,
		jacobian_ref	jacobian,
		const_argument_ref	argument,
		argument_ref	xEps
	)		const [virtual]

Reimplemented from roboptim::finiteDifferenceGradientPolicies::Policy< T >.

References result_.

template<typename T >

roboptim::finiteDifferenceGradientPolicies::Simple< T >::ROBOPTIM_DIFFERENTIABLE_FUNCTION_FWD_TYPEDEFS_

(

GenericDifferentiableFunction< T >

)

Reimplemented from roboptim::finiteDifferenceGradientPolicies::Policy< T >.