cgal/Packages/Spatial_searching/doc_tex/Spatial_searching_ref/Tree.tex

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% +------------------------------------------------------------------------+
% | Reference manual page: Tree.tex
% +------------------------------------------------------------------------+
% | 1.07.2001 Johan W.H. Tangelder
% | Package: ASPAS
% |
\RCSdef{\RCSTreeRev}{$Revision$}
\RCSdefDate{\RCSTreeDate}{$Date$}
% |
%%RefPage: end of header, begin of main body
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\begin{ccRefConcept}{Tree}
%% \ccHtmlCrossLink{} %% add further rules for cross referencing links
%% \ccHtmlIndexC[concept]{} %% add further index entries
\ccDefinition
The concept \ccRefName\ defines the requirements for a tree supporting
both neighbor searching and approximate range searching.
\ccParameters
\ccc{TreeTraits} represents a tree traits class.
\ccTypes
\ccNestedType{Node;}{Node type.}
\ccNestedType{Node_handle;}{Node handle.}
\ccNestedType{Point_iterator;}{Iterator over points.}
\ccNestedType{input_iterator;}{Input iterator over points.}
\ccCreation
\ccCreationVariable{tree} %% choose variable name
\ccConstructor{Tree(input_iterator first, input_iterator beyond, TreeTraits t);}
{
Constructs a tree on the elements from the sequence
\ccc{first, beyond}.
}
\ccOperations
\ccMethod{
template <class OutputIterator, class FuzzyQueryItem>
OutputIterator search(OutputIterator it, FuzzyQueryItem q);}
{Reports the points that are approximately contained by \ccc{q}.}
\ccMethod{
OutputIterator report_all_points(OutputIterator it);}
{Reports all the points contained by the tree.}
\ccMethod{Traits traits();}
{
Returns an instance of the traits class.
}
\ccMethod{Node_handle root();}
{
Returns a handle to the root node of the tree.
}
\ccMethod{Kd_tree_rectangle<NT>* bounding_box();}{returns a pointer to the bounding box
of the root node of the tree.}
\ccMethod{int item_number();}
{
Returns the number of items that are stored in the tree.
}
\ccHasModels
\ccc{CGAL::Kd_tree<TreeTraits>}.
\ccSeeAlso
\ccc{CGAL::Kd_tree<TreeTraits>}.
\end{ccRefConcept}
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