CGAL::Weighted_Minkowski_distance<Traits>

Definition

The class Weighted_Minkowski_distance<Traits> provides an implementation of the concept OrthogonalDistance, with a weighted Minkowski metric on $$d-dimensional points defined by $$l_p(w)(r,q)= (_i=1^i=d w_i(r_i-q_i)^p)^1/p for $$0 < p < and defined by $$l (w)(r,q)=max {w_i |r_i-q_i| 1 i d}. For the purpose of the distance computations it is more efficient to compute the transformed distance $$_i=1^i=d w_i(r_i-q_i)^p instead of the actual distance.

#include <CGAL/Weighted_Minkowski_distance.h>

Parameters

Expects for the template argument a model of the concept SearchTraits, for example CGAL::Search_traits_2<Kernel>.

Is Model for the Concepts

OrthogonalDistance

Types

Creation

Weighted_Minkowski_distance<Traits> wd ( int d);
	Constructor implementing $$l2 metric for $$d-dimensional points.
template <class InputIterator>
Weighted_Minkowski_distance<Traits> wd ( FT power, int dim, InputIterator wb, InputIterator we);
	Constructor implementing the $$lpower(weights) metric. $$power 0 denotes the $$l (weights) metric. The values in the iterator range [wb,we) are the weight.

Operations

FT	wd.transformed_distance ( Point_d q, Point_d r)
		Returns $$dpower, where $$d denotes the distance between q and r.
FT	wd.min_distance_to_rectangle ( Point_d q, Kd_tree_rectangle<Traits> r;)
		Returns $$dpower, where $$d denotes the distance between the query item q and the point on the boundary of r closest to q.
FT	wd.max_distance_to_rectangle ( Point_d q, Kd_tree_rectangle<Traits> r;)
		Returns $$dpower, where $$d denotes the distance between the query item q and the point on the boundary of r farthest to q.
FT	wd.new_distance ( FT dist, FT old_off, FT new_off, int cutting_dimension)
		Updates dist incrementally and returns the updated distance.
FT	wd.transformed_distance ( FT d)	Returns $$dp for $$0 < p < . Returns $$d for $$p= .
FT	wd.inverse_of_transformed_distance ( FT d)
		Returns $$d1/p for $$0 < p < . Returns $$d for $$p= .

See Also

OrthogonalDistance
CGAL::Euclidean_distance<Traits>