cgal/Spatial_searching/doc_tex/Spatial_searching_ref/SpatialTree.tex

83 lines
2.4 KiB
TeX

% +------------------------------------------------------------------------+
% | Reference manual page: SpatialTree.tex
% +------------------------------------------------------------------------+
% | 1.07.2001 Johan W.H. Tangelder
% | Package: ASPAS
% |
\RCSdef{\RCSSpatialTreeRev}{$Id$}
\RCSdefDate{\RCSSpatialTreeDate}{$Date$}
% |
%%RefPage: end of header, begin of main body
% +------------------------------------------------------------------------+
\begin{ccRefConcept}{SpatialTree}
%% \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.
\ccTypes
\ccNestedType{SearchTraits}{Search traits.}
\ccNestedType{Point_d}{Point type.}
\ccNestedType{iterator}{Bidirectional iterator with value type \ccc{Point_d} that allows
to enumerate all points in the tree.}
\ccNestedType{Node_handle}{Node handle.}
\ccNestedType{Point_d_iterator}{Iterator with value type \ccc{Point_d*}.}
\ccNestedType{Splitter}{Splitter.}
\ccNestedType{Distance}{Distance.}
\ccCreation
\ccCreationVariable{tree} %% choose variable name
\ccConstructor{template <class InputIterator> Tree(InputIterator first, InputIterator beyond, SearchTraits 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}. The value type
of \ccc{OutputIterator} must be \ccc{Point_d}.}
\ccMethod{iterator begin();}{Returns an iterator to the first point in the tree.}
\ccMethod{iterator end();}{Returns the corresponding past-the-end iterator.}
\ccMethod{Node_handle root();}
{
Returns a handle to the root node of the tree.
}
\ccMethod{const Kd_tree_rectangle<SearchTraits>& bounding_box();}{returns a const
reference to the bounding box of the root node of the tree.}
\ccMethod{unsigned int size();}
{
Returns the number of items that are stored in the tree.
}
\ccHasModels
\ccc{CGAL::Kd_tree<Traits,Splitter,UseExtendedNode>}.
\end{ccRefConcept}
% +------------------------------------------------------------------------+
%%RefPage: end of main body, begin of footer
% EOF
% +------------------------------------------------------------------------+