roboptim::trajectory::StateFunction< T > Class Template Reference

Trajectory cost function defined by state evaluation at parameter. More...

#include <roboptim/trajectory/state-function.hh>

Inheritance diagram for roboptim::trajectory::StateFunction< T >:

List of all members.

Public Types
typedef T	trajectory_t
	Trajectory type.
Public Member Functions
	StateFunction (const trajectory_t &gamma, boost::shared_ptr< DerivableFunction > cost, const StableTimePoint tpt, size_type order=1)
	Constructor.
virtual	~StateFunction ()
size_type	order () const
Static Public Member Functions
template<typename F , typename CLIST >
static void	addToProblem (const trajectory_t &trajectory, boost::shared_ptr< DerivableFunction > function, unsigned order, Problem< F, CLIST > &problem, typename Function::interval_t bounds, unsigned nConstraints)
template<typename F , typename CLIST >
static void	addToProblem (const trajectory_t &trajectory, boost::shared_ptr< DerivableFunction > function, unsigned order, Problem< F, CLIST > &problem, const typename Function::intervals_t &bounds, const std::vector< typename Function::value_type > &scales, unsigned nConstraints)
Protected Member Functions
void	impl_compute (result_ref, const_argument_ref) const
void	impl_gradient (gradient_ref, const_argument_ref, size_type) const

---

Detailed Description

template<typename T>
class roboptim::trajectory::StateFunction< T >

Trajectory cost function defined by state evaluation at parameter.

The state along a trajectory is defined as the vector containing the configuration and derivatives up to order of the configuration.

where

• is the trajectory cost,
• is the state cost,
• is the parameter along the trajectory where the cost is evaluated (fixed at construction),
• is called the order of the state.

Template Parameters:

T	trajectory type

---

Member Typedef Documentation

template<typename T >

typedef T roboptim::trajectory::StateFunction< T >::trajectory_t

Trajectory type.

---

Constructor & Destructor Documentation

template<typename T >

roboptim::trajectory::StateFunction< T >::StateFunction	(	const trajectory_t &	gamma,
		boost::shared_ptr< DerivableFunction >	cost,
		const StableTimePoint	tpt,
		size_type	order = 1
	)

Constructor.

Parameters:

gamma	Trajectory along which the state is evaluated.
cost	state cost: .
tpt	parameter where the state is evaluated.
order	order of derivation.

Exceptions:

std::runtime_error

template<typename T >

roboptim::trajectory::StateFunction< T >::~StateFunction

(

)

[virtual]

---

Member Function Documentation

template<typename T >

template<typename F , typename CLIST >

static void roboptim::trajectory::StateFunction< T >::addToProblem	(	const trajectory_t &	trajectory,
		boost::shared_ptr< DerivableFunction >	function,
		unsigned	order,
		Problem< F, CLIST > &	problem,
		typename Function::interval_t	bounds,
		unsigned	nConstraints
	)		[inline, static]

References roboptim::trajectory::tMax.

template<typename T >

template<typename F , typename CLIST >

static void roboptim::trajectory::StateFunction< T >::addToProblem	(	const trajectory_t &	trajectory,
		boost::shared_ptr< DerivableFunction >	function,
		unsigned	order,
		Problem< F, CLIST > &	problem,
		const typename Function::intervals_t &	bounds,
		const std::vector< typename Function::value_type > &	scales,
		unsigned	nConstraints
	)		[inline, static]

References roboptim::trajectory::tMax.

template<typename T >

void roboptim::trajectory::StateFunction< T >::impl_compute	(	result_ref	res,
		const_argument_ref	p
	)		const [protected]

ROBOPTIM_DO_NOT_CHECK_ALLOCATION

template<typename T >

void roboptim::trajectory::StateFunction< T >::impl_gradient	(	gradient_ref	grad,
		const_argument_ref	p,
		size_type	i
	)		const [protected]

ROBOPTIM_DO_NOT_CHECK_ALLOCATION

template<typename T >

StateFunction< T >::size_type roboptim::trajectory::StateFunction< T >::order

(

)

const