dynotree::LinearKNN< Id, Dimensions, Scalar, StateSpace > Class Template Reference

#include <linear_nn.h>

Collaboration diagram for dynotree::LinearKNN< Id, Dimensions, Scalar, StateSpace >:

Classes
struct	DistanceId

Public Types
using	scalar_t = Scalar
using	id_t = Id
using	point_t = Eigen::Matrix<Scalar, Dimensions, 1>
using	cref_t = const Eigen::Ref<const Eigen::Matrix<Scalar, Dimensions, 1>> &
using	ref_t = Eigen::Ref<Eigen::Matrix<Scalar, Dimensions, 1>>

Public Member Functions
StateSpace &	getStateSpace ()
	LinearKNN (int runtime_dimension=-1, const StateSpace &state_space=StateSpace())
size_t	size () const
void	addPoint (const point_t &x, const Id &id, bool dummy)
std::vector< DistanceId >	searchKnn (const point_t &x, std::size_t maxPoints) const
std::vector< DistanceId >	searchBall (const point_t &x, Scalar maxRadius) const
DistanceId	searchNN (const point_t &x) const

Public Attributes
int	m_dimensions = Dimensions

Member Typedef Documentation

cref_t

template<class Id , int Dimensions, typename Scalar = double, typename StateSpace = Rn<Scalar, Dimensions>>

using dynotree::LinearKNN< Id, Dimensions, Scalar, StateSpace >::cref_t = const Eigen::Ref<const Eigen::Matrix<Scalar, Dimensions, 1>> &

id_t

template<class Id , int Dimensions, typename Scalar = double, typename StateSpace = Rn<Scalar, Dimensions>>

using dynotree::LinearKNN< Id, Dimensions, Scalar, StateSpace >::id_t = Id

point_t

template<class Id , int Dimensions, typename Scalar = double, typename StateSpace = Rn<Scalar, Dimensions>>

using dynotree::LinearKNN< Id, Dimensions, Scalar, StateSpace >::point_t = Eigen::Matrix<Scalar, Dimensions, 1>

ref_t

template<class Id , int Dimensions, typename Scalar = double, typename StateSpace = Rn<Scalar, Dimensions>>

using dynotree::LinearKNN< Id, Dimensions, Scalar, StateSpace >::ref_t = Eigen::Ref<Eigen::Matrix<Scalar, Dimensions, 1>>

scalar_t

template<class Id , int Dimensions, typename Scalar = double, typename StateSpace = Rn<Scalar, Dimensions>>

using dynotree::LinearKNN< Id, Dimensions, Scalar, StateSpace >::scalar_t = Scalar

Constructor & Destructor Documentation

LinearKNN()

template<class Id , int Dimensions, typename Scalar = double, typename StateSpace = Rn<Scalar, Dimensions>>

dynotree::LinearKNN< Id, Dimensions, Scalar, StateSpace >::LinearKNN ( int runtime_dimension = -1, const StateSpace & state_space = StateSpace() )

inline

Member Function Documentation

addPoint()

template<class Id , int Dimensions, typename Scalar = double, typename StateSpace = Rn<Scalar, Dimensions>>

void dynotree::LinearKNN< Id, Dimensions, Scalar, StateSpace >::addPoint ( const point_t & x, const Id & id, bool dummy )

inline

getStateSpace()

template<class Id , int Dimensions, typename Scalar = double, typename StateSpace = Rn<Scalar, Dimensions>>

StateSpace & dynotree::LinearKNN< Id, Dimensions, Scalar, StateSpace >::getStateSpace ( )

inline

searchBall()

template<class Id , int Dimensions, typename Scalar = double, typename StateSpace = Rn<Scalar, Dimensions>>

std::vector< DistanceId > dynotree::LinearKNN< Id, Dimensions, Scalar, StateSpace >::searchBall ( const point_t & x, Scalar maxRadius ) const

inline

searchKnn()

template<class Id , int Dimensions, typename Scalar = double, typename StateSpace = Rn<Scalar, Dimensions>>

std::vector< DistanceId > dynotree::LinearKNN< Id, Dimensions, Scalar, StateSpace >::searchKnn ( const point_t & x, std::size_t maxPoints ) const

inline

searchNN()

template<class Id , int Dimensions, typename Scalar = double, typename StateSpace = Rn<Scalar, Dimensions>>

DistanceId dynotree::LinearKNN< Id, Dimensions, Scalar, StateSpace >::searchNN ( const point_t & x ) const

inline

size()

template<class Id , int Dimensions, typename Scalar = double, typename StateSpace = Rn<Scalar, Dimensions>>

size_t dynotree::LinearKNN< Id, Dimensions, Scalar, StateSpace >::size ( ) const

inline

Member Data Documentation

m_dimensions

template<class Id , int Dimensions, typename Scalar = double, typename StateSpace = Rn<Scalar, Dimensions>>

int dynotree::LinearKNN< Id, Dimensions, Scalar, StateSpace >::m_dimensions = Dimensions

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The documentation for this class was generated from the following file:

• include/dynotree/linear_nn.h