\( \newcommand{\E}{\mathrm{E}} \) \( \newcommand{\A}{\mathrm{A}} \) \( \newcommand{\R}{\mathrm{R}} \) \( \newcommand{\N}{\mathrm{N}} \) \( \newcommand{\Q}{\mathrm{Q}} \) \( \newcommand{\Z}{\mathrm{Z}} \) \( \def\ccSum #1#2#3{ \sum_{#1}^{#2}{#3} } \def\ccProd #1#2#3{ \sum_{#1}^{#2}{#3} }\)
CGAL 4.4 - 2D and 3D Linear Geometry Kernel
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Kernel::CompareDistance_2 Concept Reference
Kernel Function Object Concepts

Definition

See Also
Kernel::CompareSquaredDistance_2
CGAL::compare_distance_to_point()
CGAL::compare_squared_distance()
Refines:
AdaptableFunctor (with three arguments)

Operations

A model of this concept must provide:

Comparison_result operator() (const Type1 &obj1, const Type2 &obj2, const Type3 &obj3)
 compares the squared distance between obj1 and obj2 to the squared distance between obj1 and obj3, for all triples of types Type1, Type2 andType3 in the following set of types: More...
 
Comparison_result operator() (const Type1 &obj1, const Type2 &obj2, const Type3 &obj3, const Type4 &obj4)
 compares the squared distance between obj1 and obj2 to the squared distance between obj3 and obj4, for all tuples of types Type1, Type2, Type3 and Type4 in the following set of types: More...
 

Member Function Documentation

Comparison_result Kernel::CompareDistance_2::operator() ( const Type1 &  obj1,
const Type2 &  obj2,
const Type3 &  obj3 
)

compares the squared distance between obj1 and obj2 to the squared distance between obj1 and obj3, for all triples of types Type1, Type2 andType3 in the following set of types:

Comparison_result Kernel::CompareDistance_2::operator() ( const Type1 &  obj1,
const Type2 &  obj2,
const Type3 &  obj3,
const Type4 &  obj4 
)

compares the squared distance between obj1 and obj2 to the squared distance between obj3 and obj4, for all tuples of types Type1, Type2, Type3 and Type4 in the following set of types: