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CGAL 4.5 - dD Spatial Searching
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Classes

class  CGAL::Euclidean_distance< Traits >
 The class Euclidean_distance provides an implementation of the concept OrthogonalDistance, with the Euclidean distance ( l2 metric). More...
 
class  CGAL::Euclidean_distance_sphere_point< Traits >
 The class Euclidean_distance_sphere_point provides an implementation of the GeneralDistance concept for the Euclidean distance ( l2 metric) between a d-dimensional sphere and a point, and the Euclidean distance between a d-dimensional sphere and a d-dimensional iso-rectangle defined as a k- d tree rectangle. More...
 
class  CGAL::Manhattan_distance_iso_box_point< Traits >
 The class Manhattan_distance_iso_box_point provides an implementation of the GeneralDistance concept for the Manhattan distance ( l1 metric) between a d-dimensional iso-box and a d-dimensional point and the Manhattan distance between a d-dimensional iso-box and a d-dimensional iso-box defined as a k-d tree rectangle. More...
 
class  CGAL::Distance_adapter< Key, PointPropertyMap, Base_distance >
 A class that uses a point property map to adapt a distance class to work on a key as point type. More...
 
class  CGAL::Weighted_Minkowski_distance< Traits >
 The class Weighted_Minkowski_distance provides an implementation of the concept OrthogonalDistance, with a weighted Minkowski metric on d-dimensional points defined by lp(w)(r,q)=(Σi=di=1wi(riqi)p)1/p for 0<p< and defined by l(w)(r,q)=max{wi|riqi|1id}. More...