roboptim::trajectory::BSpline< N > Class Template Reference

#include <roboptim/trajectory/b-spline.hh>

Inheritance diagram for roboptim::trajectory::BSpline< N >:

List of all members.

Public Types
typedef parent_t::interval_t	interval_t
	Import interval type.
typedef Polynomial< N >	polynomial_t
typedef Monomial< N >	monomial_t
typedef std::map< int, polynomial_t, std::less< int > , Eigen::aligned_allocator < std::pair< const int, polynomial_t > > >	cox_map
typedef cox_map::iterator	cox_map_itr_t
typedef std::vector < polynomial_t, Eigen::aligned_allocator < polynomial_t > >	basisPolynomials_t
typedef std::vector < basisPolynomials_t >	basisPolynomialsVector_t
Public Member Functions
	ROBOPTIM_NTIMES_DERIVABLE_FUNCTION_FWD_TYPEDEFS_ (Trajectory< N >)
	Parent type and imports.
	BSpline (const interval_t &timeRange, size_type dimension, const vector_t &parameters, const std::string name="B-Spline", bool clamped=false)
	Instantiate a B-Spline from its definition.
	BSpline (const interval_t &tr, size_type dimension, const vector_t &parameters, const_vector_ref knots, std::string name="B-Spline")
	Instantiate a B-Spline with parameters and knot points.
	BSpline (const BSpline< N > &spline)
	Copy constructor.
template<int M>
BSpline< N >	derivative () const
	Compute the derivative of the B-spline for a given order.
virtual	~BSpline ()
	Virtual destructor.
virtual void	setParameters (const vector_t &)
	Modify spline parameters.
virtual jacobian_t	variationConfigWrtParam (value_type t) const
virtual jacobian_t	variationDerivWrtParam (value_type t, size_type order) const
virtual value_type	singularPointAtRank (size_type rank) const
	Get singular point at given rank.
virtual vector_t	derivBeforeSingularPoint (size_type rank, size_type order) const
	Get left limit value of derivative at given singular point.
virtual vector_t	derivAfterSingularPoint (size_type rank, size_type order) const
	Get right limit value of derivative at given singular point.
virtual Trajectory< N > *	resize (interval_t timeRange) const
	Clone and resize a trajectory.
virtual std::ostream &	print (std::ostream &o) const
	Display the function on the specified output stream.
jacobian_t	variationConfigWrtParam (StableTimePoint tp) const
jacobian_t	variationDerivWrtParam (StableTimePoint tp, size_type order) const
value_type	Dt () const ROBOPTIM_TRAJECTORY_DEPRECATED
const vector_t &	knotVector () const
	Return the knot vector of the spline.
size_type	interval (value_type t) const
size_type	getNumberControlPoints () const
	Get the number of control points of the spline.
void	toPolynomials (basisPolynomials_t &res) const
	Return the polynomial expression of the B-spline on each time interval.
const basisPolynomialsVector_t &	basisPolynomials () const
	Constant getter for the basis polynomials of the B-spline.
Protected Types
enum	ConstructionMode {   NORMAL = 0,   UNINITIALIZED = 1 }
	Enum for special constructors. More...
Protected Member Functions
	BSpline (ConstructionMode mode, const interval_t &timeRange, size_type dimension, const vector_t &parameters, const std::string name="B-Spline", bool clamped=false)
	Special constructor used internally for specific cases (e.g.
void	impl_compute (result_ref, value_type) const
void	impl_derivative (derivative_ref g, value_type x, size_type order) const
void	impl_derivative (derivative_ref g, StableTimePoint, size_type order) const
vector_t	basisFunctions (value_type t, size_type order) const ROBOPTIM_TRAJECTORY_DEPRECATED
void	computeBasisPolynomials ()
	Compute the basis polynomials.
template<int M>
basisPolynomialsVector_t	deriveBasisPolynomials () const
	Derive basis polynomials, but express the result as polynomials of BSpline<N> instead of BSpline<N-M>.
cox_map	cox_de_boor (size_type j, size_type n) const
	Generate base polynomial set For the basic spline formula noted in the pdf from the docs section, this implements (3), the recursion formula.
void	initializeKnots (bool clamped)
	Initialize the knot vector.
Static Protected Attributes
static const size_type	order_ = N
	Order of the B-Spline.
static log4cxx::LoggerPtr	logger
	Pointer to B-spline logger (see log4cxx documentation).

template<int N>
class roboptim::trajectory::BSpline< N >

---

Member Typedef Documentation

template<int N>

typedef std::vector< polynomial_t, Eigen::aligned_allocator<polynomial_t> > roboptim::trajectory::BSpline< N >::basisPolynomials_t

template<int N>

typedef std::vector<basisPolynomials_t> roboptim::trajectory::BSpline< N >::basisPolynomialsVector_t

template<int N>

typedef std::map< int, polynomial_t, std::less<int>, Eigen::aligned_allocator<std::pair<const int, polynomial_t> > > roboptim::trajectory::BSpline< N >::cox_map

template<int N>

typedef cox_map::iterator roboptim::trajectory::BSpline< N >::cox_map_itr_t

template<int N>

typedef parent_t::interval_t roboptim::trajectory::BSpline< N >::interval_t

Import interval type.

Reimplemented from roboptim::trajectory::Trajectory< N >.

Reimplemented in roboptim::trajectory::ConstrainedBSpline< N >.

template<int N>

typedef Monomial<N> roboptim::trajectory::BSpline< N >::monomial_t

template<int N>

typedef Polynomial<N> roboptim::trajectory::BSpline< N >::polynomial_t

---

Member Enumeration Documentation

template<int N>

enum roboptim::trajectory::BSpline::ConstructionMode [protected]

Enum for special constructors.

Enumerator:

NORMAL	Automatically generate basis functions and knot vector.
UNINITIALIZED	Do not generate basis functions or knot vector automatically.

---

Constructor & Destructor Documentation

template<int N>

roboptim::trajectory::BSpline< N >::BSpline	(	const interval_t &	timeRange,
		size_type	dimension,
		const vector_t &	parameters,
		const std::string	name = "B-Spline",
		bool	clamped = false
	)

Instantiate a B-Spline from its definition.

Parameters:

timeRange	spline time range: $
dimension	spline dimension:
parameters	vector of parameters defining control points
name	function title
clamped	whether the spline should be clamped

Number of control points is inferred from dimension of dimenion of parameter vector.

References roboptim::trajectory::BSpline< N >::computeBasisPolynomials(), roboptim::trajectory::BSpline< N >::initializeKnots(), roboptim::trajectory::BSpline< N >::order_, roboptim::trajectory::Trajectory< N >::parameters_, and roboptim::trajectory::BSpline< N >::setParameters().

template<int N>

roboptim::trajectory::BSpline< N >::BSpline	(	const interval_t &	tr,
		size_type	dimension,
		const vector_t &	parameters,
		const_vector_ref	knots,
		std::string	name = "B-Spline"
	)

Instantiate a B-Spline with parameters and knot points.

Parameters:

timeRange	spline time range: $
dimension	spline dimension:
parameters	vector of parameters
knots	vector of control points
name	function title The number of knot points must be the number of parameters + N + 1. In the knot vector, N knots at the beginning must lie before the start of the spline. The rest of the knot point must lie before the end of the spline interval.

References roboptim::trajectory::BSpline< N >::computeBasisPolynomials(), roboptim::trajectory::BSpline< N >::order_, roboptim::trajectory::Trajectory< N >::parameters_, and roboptim::trajectory::BSpline< N >::setParameters().

template<int N>

roboptim::trajectory::BSpline< N >::BSpline

(

const BSpline< N > &

spline

)

Copy constructor.

Parameters:

spline

spline that will be copied.

References roboptim::trajectory::BSpline< N >::order_, roboptim::trajectory::Trajectory< N >::parameters(), roboptim::trajectory::Trajectory< N >::parameters_, and roboptim::trajectory::BSpline< N >::setParameters().

template<int N>

virtual roboptim::trajectory::BSpline< N >::~BSpline

(

)

[inline, virtual]

Virtual destructor.

template<int N>

roboptim::trajectory::BSpline< N >::BSpline	(	ConstructionMode	mode,
		const interval_t &	timeRange,
		size_type	dimension,
		const vector_t &	parameters,
		const std::string	name = "B-Spline",
		bool	clamped = false
	)		[protected]

Special constructor used internally for specific cases (e.g.

spline derivation).

Parameters:

timeRange	time range of the spline.
dimension	output dimension.
parameters	control point vector.
name	name of the spline.
clamped	whether the spline is clamped.

References roboptim::trajectory::BSpline< N >::computeBasisPolynomials(), roboptim::trajectory::BSpline< N >::initializeKnots(), roboptim::trajectory::BSpline< N >::NORMAL, roboptim::trajectory::BSpline< N >::order_, roboptim::trajectory::Trajectory< N >::parameters_, and roboptim::trajectory::BSpline< N >::setParameters().

---

Member Function Documentation

template<int N>

BSpline< N >::vector_t roboptim::trajectory::BSpline< N >::basisFunctions	(	value_type	t,
		size_type	order
	)		const [protected]

References roboptim::trajectory::Polynomial< N >::derivative(), and roboptim::trajectory::detail::fixTime().

template<int N>

const basisPolynomialsVector_t& roboptim::trajectory::BSpline< N >::basisPolynomials

(

)

const [inline]

Constant getter for the basis polynomials of the B-spline.

Note: computeBasisPolynomials() needs to be called beforehand (which is done in the BSpline constructor).

Returns:

constant reference to the basis polynomials.

template<int N>

void roboptim::trajectory::BSpline< N >::computeBasisPolynomials

(

)

[protected]

Compute the basis polynomials.

Referenced by roboptim::trajectory::BSpline< N >::BSpline().

template<int N>

BSpline< N >::cox_map roboptim::trajectory::BSpline< N >::cox_de_boor	(	size_type	j,
		size_type	n
	)		const [protected]

Generate base polynomial set For the basic spline formula noted in the pdf from the docs section, this implements (3), the recursion formula.

It returns the results as factors of b_j,0 where j is the index of the returned map.

Parameters:

j	current knot index
n	current basis function order

Returns:

a std::map. Call this with j as the index of the knot for which spline segment your want to generate the basis function for, and n as the order of your spline.

References roboptim::trajectory::Polynomial< N >::coefs().

template<int N>

BSpline< N >::vector_t roboptim::trajectory::BSpline< N >::derivAfterSingularPoint	(	size_type	rank,
		size_type	order
	)		const [virtual]

Get right limit value of derivative at given singular point.

Parameters:

rank	rank of the singular points.
order	order of derivation.

Return values:

derivative

Limit of the derivative at singular point for decreasing parameter values.

Implements roboptim::trajectory::Trajectory< N >.

template<int N>

template<int M>

BSpline< N > roboptim::trajectory::BSpline< N >::derivative

(

)

const

Compute the derivative of the B-spline for a given order.

Note: here we return a spline of the same degree for simplicity (we keep the same knot vector), but the basis polynomials are M degrees lower.

Template Parameters:

M	derivation order (M ≥ 0).

Returns:

derived spline.

template<int N>

BSpline< N >::vector_t roboptim::trajectory::BSpline< N >::derivBeforeSingularPoint	(	size_type	rank,
		size_type	order
	)		const [virtual]

Get left limit value of derivative at given singular point.

Parameters:

rank	rank of the singular points.
order	order of derivation.

Returns:

Limit of the derivative at singular point for increasing parameter values.

Implements roboptim::trajectory::Trajectory< N >.

template<int N>

template<int M>

BSpline< N >::basisPolynomialsVector_t roboptim::trajectory::BSpline< N >::deriveBasisPolynomials

(

)

const [protected]

Derive basis polynomials, but express the result as polynomials of BSpline<N> instead of BSpline<N-M>.

Template Parameters:

M	derivation order.

template<int N>

BSpline< N >::value_type roboptim::trajectory::BSpline< N >::Dt

(

)

const

template<int N>

size_type roboptim::trajectory::BSpline< N >::getNumberControlPoints

(

)

const [inline]

Get the number of control points of the spline.

Returns:

Number of control points of the spline.

Referenced by roboptim::trajectory::visualization::matplotlib::plot_spline().

template<int N>

void roboptim::trajectory::BSpline< N >::impl_compute	(	result_ref	derivative,
		value_type	t
	)		const [protected]

References roboptim::trajectory::detail::fixTime().

template<int N>

void roboptim::trajectory::BSpline< N >::impl_derivative	(	derivative_ref	g,
		value_type	x,
		size_type	order
	)		const [protected]

References roboptim::trajectory::Polynomial< N >::derivative(), and roboptim::trajectory::detail::fixTime().

template<int N>

void roboptim::trajectory::BSpline< N >::impl_derivative	(	derivative_ref	g,
		StableTimePoint	stp,
		size_type	order
	)		const [protected, virtual]

Implements roboptim::trajectory::Trajectory< N >.

References roboptim::trajectory::StableTimePoint::getTime().

template<int N>

void roboptim::trajectory::BSpline< N >::initializeKnots

(

bool

clamped

)

[protected]

Initialize the knot vector.

Parameters:

clamped

whether the spline is clamped.

Referenced by roboptim::trajectory::BSpline< N >::BSpline().

template<int N>

BSpline< N >::size_type roboptim::trajectory::BSpline< N >::interval

(

value_type

t

)

const

References roboptim::trajectory::detail::fixTime().

template<int N>

const BSpline< N >::vector_t & roboptim::trajectory::BSpline< N >::knotVector

(

)

const

Return the knot vector of the spline.

Returns:

knot vector of the spline (const).

Referenced by roboptim::trajectory::visualization::matplotlib::plot_spline().

template<int N>

std::ostream & roboptim::trajectory::BSpline< N >::print

(

std::ostream &

o

)

const [virtual]

Display the function on the specified output stream.

Parameters:

o	output stream used for display

Returns:

output stream

Reimplemented from roboptim::trajectory::Trajectory< N >.

template<int N>

Trajectory< N > * roboptim::trajectory::BSpline< N >::resize

(

interval_t

timeRange

)

const [virtual]

Clone and resize a trajectory.

Implements roboptim::trajectory::Trajectory< N >.

Reimplemented in roboptim::trajectory::ConstrainedBSpline< N >.

template<int N>

roboptim::trajectory::BSpline< N >::ROBOPTIM_NTIMES_DERIVABLE_FUNCTION_FWD_TYPEDEFS_

(

Trajectory< N >

)

Parent type and imports.

template<int N>

void roboptim::trajectory::BSpline< N >::setParameters

(

const vector_t &

p

)

[virtual]

Modify spline parameters.

Reimplemented from roboptim::trajectory::Trajectory< N >.

Reimplemented in roboptim::trajectory::ConstrainedBSpline< N >.

Referenced by roboptim::trajectory::BSpline< N >::BSpline().

template<int N>

BSpline< N >::value_type roboptim::trajectory::BSpline< N >::singularPointAtRank

(

size_type

rank

)

const [virtual]

Get singular point at given rank.

Implements roboptim::trajectory::Trajectory< N >.

template<int N>

void roboptim::trajectory::BSpline< N >::toPolynomials

(

basisPolynomials_t &

res

)

const

Return the polynomial expression of the B-spline on each time interval.

ROBOPTIM_DO_NOT_CHECK_ALLOCATION

ROBOPTIM_DO_NOT_CHECK_ALLOCATION

Referenced by roboptim::trajectory::visualization::matplotlib::plot_spline().

template<int N>

BSpline< N >::jacobian_t roboptim::trajectory::BSpline< N >::variationConfigWrtParam

(

value_type

t

)

const [virtual]

template<int N>

BSpline< N >::jacobian_t roboptim::trajectory::BSpline< N >::variationConfigWrtParam

(

StableTimePoint

tp

)

const [virtual]

Implements roboptim::trajectory::Trajectory< N >.

References roboptim::trajectory::StableTimePoint::getTime().

template<int N>

BSpline< N >::jacobian_t roboptim::trajectory::BSpline< N >::variationDerivWrtParam	(	value_type	t,
		size_type	order
	)		const [virtual]

References roboptim::trajectory::Polynomial< N >::derivative(), and roboptim::trajectory::detail::fixTime().

template<int N>

BSpline< N >::jacobian_t roboptim::trajectory::BSpline< N >::variationDerivWrtParam	(	StableTimePoint	tp,
		size_type	order
	)		const [virtual]

Implements roboptim::trajectory::Trajectory< N >.

References roboptim::trajectory::StableTimePoint::getTime().

---

Member Data Documentation

template<int N>

const size_type roboptim::trajectory::BSpline< N >::order_ = N [static, protected]

Order of the B-Spline.

Referenced by roboptim::trajectory::BSpline< N >::BSpline().