
class  CGAL::Euclidean_distance< Traits > 
 The class Euclidean_distance provides an implementation of the concept OrthogonalDistance , with the Euclidean distance ( \( l_2\) 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 ( \( l_2\) metric) between a \( d\)dimensional sphere and a point, and the Euclidean distance between a \( d\)dimensional sphere and a \( d\)dimensional isorectangle 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 ( \( l_1\) metric) between a d dimensional isobox and a d dimensional point and the Manhattan distance between a d dimensional isobox and a d dimensional isobox defined as a kd 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 \( l_p(w)(r,q)= ({\Sigma_{i=1}^{i=d} \, w_i(r_iq_i)^p})^{1/p}\) for \( 0 < p <\infty\) and defined by \( l_{\infty}(w)(r,q)=max \{w_i r_iq_i \mid 1 \leq i \leq d\}\). More...

