CGAL 5.2.2 - dD Spatial Searching
CGAL::Euclidean_distance< Traits > Class Template Reference

#include <CGAL/Euclidean_distance.h>

Definition

The class Euclidean_distance provides an implementation of the concept OrthogonalDistance, with the Euclidean distance ( \( l_2\) metric).

To optimize distance computations squared distances are used.

Template Parameters
Traitsmust be a model of the concept SearchTraits, for example Search_traits_2<Simple_cartesian<double> >.
Is Model Of:
OrthogonalDistance
See also
OrthogonalDistance
CGAL::Weighted_Minkowski_distance<Traits>
Examples:
Spatial_searching/searching_sphere_orthogonally.cpp, Spatial_searching/splitter_worst_cases.cpp, and Spatial_searching/using_fair_splitting_rule.cpp.

Types

typedef Traits::Dimension D
 Dimension Tag.
 
typedef Traits::FT FT
 Number type.
 
typedef Traits::Point_d Point_d
 Point type.
 
typedef Point_d Query_item
 Query item type.
 

Creation

 Euclidean_distance (Traits t=Traits())
 Default constructor.
 

Operations

FT transformed_distance (Query_item q, Point_d p) const
 Returns the squared Euclidean distance between q and p.
 
template<typename Coord_iterator >
FT transformed_distance_from_coordinates (Query_item q, Coord_iterator begin, Coord_iterator end) const
 Returns the transformed distance between q and the point whose Cartesian coordinates are contained in the range [begin, end).
 
template<typename Coord_iterator >
FT interruptible_transformed_distance (Query_item q, Coord_iterator begin, Coord_iterator end, FT stop_if_geq_to_this) const
 Returns the transformed distance between q and the point whose Cartesian coordinates are contained in the range [begin, end), or any value \( \geq \) stop_if_geq_to_this if the transformed distance is \( \geq \) stop_if_geq_to_this.
 
FT min_distance_to_rectangle (Query_item q, Kd_tree_rectangle< FT, D > r) const
 Returns the squared Euclidean distance between q and the point on the boundary of r closest to q.
 
FT min_distance_to_rectangle (Query_item q, Kd_tree_rectangle< FT, D > r, vector< FT > &dists)
 Returns the squared Euclidean distance between q and the point on the boundary of r closest to q. More...
 
FT max_distance_to_rectangle (Query_item q, Kd_tree_rectangle< FT, D > r) const
 Returns the squared Euclidean distance, where \( d\) denotes the distance between q and the point on the boundary of r farthest to q.
 
FT max_distance_to_rectangle (Query_item q, Kd_tree_rectangle< FT, D > r, vector< FT > &dists)
 Returns the squared Euclidean distance, where \( d\) denotes the distance between q and the point on the boundary of r farthest to q. More...
 
FT new_distance (FT dist, FT old_off, FT new_off, int cutting_dimension) const
 Updates the squared dist incrementally and returns the updated squared distance.
 
FT transformed_distance (FT d) const
 Returns \( d^2\).
 
FT inverse_of_transformed_distance (FT d) const
 Returns \( d^{1/2}\).
 

Member Function Documentation

◆ max_distance_to_rectangle()

template<typename Traits >
FT CGAL::Euclidean_distance< Traits >::max_distance_to_rectangle ( Query_item  q,
Kd_tree_rectangle< FT, D r,
vector< FT > &  dists 
)

Returns the squared Euclidean distance, where \( d\) denotes the distance between q and the point on the boundary of r farthest to q.

Stores the distances in each dimension in dists.

◆ min_distance_to_rectangle()

template<typename Traits >
FT CGAL::Euclidean_distance< Traits >::min_distance_to_rectangle ( Query_item  q,
Kd_tree_rectangle< FT, D r,
vector< FT > &  dists 
)

Returns the squared Euclidean distance between q and the point on the boundary of r closest to q.

Stores the distances in each dimension in dists.