mirror of https://github.com/CGAL/cgal
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Andreas Fabri
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22d35aabb0
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@ -78,7 +78,7 @@ Inserts statistics of the search process into the output stream \ccc{s}.
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\ccSeeAlso
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\ccc{CGAL::Orthogonal_priority_search<PointTraits, OrthogonalDistance, SpatialTree>}.
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\ccc{CGAL::Orthogonal_incremental_neighbor_search<PointTraits, OrthogonalDistance, Splitter, SpatialTree>}.
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\end{ccRefClass}
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@ -74,7 +74,7 @@ Inserts statistics of the search process into the output stream \ccc{s}.
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\ccSeeAlso
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\ccc{CGAL::Orthogonal_standard_search<PointTraits, Distance, SpatialTree>}.
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\ccc{CGAL::Orthogonal_k_neighbor_search<PointTraits, Distance, Splitter, SpatialTree>}.
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\end{ccRefClass}
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@ -1,17 +1,17 @@
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% +------------------------------------------------------------------------+
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% | Reference manual page: Manhattan_distance_rectangle_point.tex
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% | Reference manual page: Manhattan_distance_iso_box_point.tex
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% +------------------------------------------------------------------------+
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% | 1.07.2001 Johan W.H. Tangelder
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% | Package: ASPAS
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% |
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\RCSdef{\RCSManhattandistancerectanglepointRev}{$Revision$}
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\RCSdefDate{\RCSManhattandistancerectanglepointDate}{$Date$}
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\RCSdef{\RCSManhattandistanceisoboxpointRev}{$Revision$}
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\RCSdefDate{\RCSManhattandistanceisoboxpointDate}{$Date$}
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% |
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%%RefPage: end of header, begin of main body
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% +------------------------------------------------------------------------+
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\begin{ccRefClass}{Manhattan_distance_rectangle_point<PointTraits, IsoBox>} %% add template arg's if necessary
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\begin{ccRefClass}{Manhattan_distance_iso_box_point<PointTraits, IsoBox>} %% add template arg's if necessary
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%% \ccHtmlCrossLink{} %% add further rules for cross referencing links
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%% \ccHtmlIndexC[class]{} %% add further index entries
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@ -21,11 +21,11 @@
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The class \ccRefName\ provides an implementation of
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the \ccc{GeneralDistance} concept
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for the Manhattan distance ($l_1$ metric)
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between a $d$-dimensional iso-rectangle and a $d$-dimensional point
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and the Manhattan distance between a $d$-dimensional iso-rectangle
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and a $d$-dimensional iso-rectangle defined as a $k$-$d$ tree rectangle.
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between a $d$-dimensional iso-box and a $d$-dimensional point
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and the Manhattan distance between a $d$-dimensional iso-box
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and a $d$-dimensional iso-box defined as a $k$-$d$ tree rectangle.
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\ccInclude{CGAL/Manhattan_distance_rectangle_point.h}
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\ccInclude{CGAL/Manhattan_distance_iso_box_point.h}
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\ccParameters
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Expects for the first template argument
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@ -49,12 +49,8 @@ GeneralDistance
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\ccCreation
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\ccCreationVariable{d} %% choose variable name
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\ccConstructor{Manhattan_distance_rectangle_point();}{Default constructor implementing Manhattan distance for
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two-dimensional iso-rectangles.}
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\ccConstructor{Manhattan_distance_rectangle_point(int d);}
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{Constructor implementing Manhattan distance for
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$d$-dimensional iso-rectangles.}
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\ccConstructor{Manhattan_distance_iso_box_point();}{Default constructor implementing Manhattan distance for
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two-dimensional iso-boxs.}
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\ccOperations
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@ -69,7 +65,7 @@ $d$-dimensional iso-rectangles.}
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\ccc{r}.}
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\ccMethod{NT max_distance_to_queryitem(IsoBox b q, Kd_tree_rectangle<PointTraits> r;);}
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{Returns the maximal distance between the iso-rectangle \ccc{b} and
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{Returns the maximal distance between the iso-box \ccc{b} and
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a point from \ccc{r} furthest to \ccc{q}.}
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@ -74,7 +74,7 @@ Inserts statistics of the search process into the output stream \ccc{s}.
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\ccSeeAlso
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\ccc{CGAL::General_incremental_neighbor_search<PointTraits, GeneralDistance, SpatialTree>}.
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\ccc{CGAL::Incremental_neighbor_search<PointTraits, GeneralDistance, SpatialTree>}.
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\end{ccRefClass}
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@ -75,7 +75,7 @@ Inserts statistics of the search process into the output stream \ccc{s}.
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\ccSeeAlso
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\ccc{CGAL::General_k_neighbor_search<PointTraits, GeneralDistance, QueryItem, Tree>}.
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\ccc{CGAL::K_neighbor_search<PointTraits, GeneralDistance, Splitter, SpatialTree>}.
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\end{ccRefClass}
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@ -78,7 +78,7 @@ Inserts statistics of the search process into the output stream \ccc{s}.
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\ccSeeAlso
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\ccc{CGAL::Orthogonal_priority_search<PointTraits, OrthogonalDistance, SpatialTree>}.
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\ccc{CGAL::Orthogonal_incremental_neighbor_search<PointTraits, OrthogonalDistance, Splitter, SpatialTree>}.
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\end{ccRefClass}
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@ -74,7 +74,7 @@ Inserts statistics of the search process into the output stream \ccc{s}.
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\ccSeeAlso
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\ccc{CGAL::Orthogonal_standard_search<PointTraits, Distance, SpatialTree>}.
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\ccc{CGAL::Orthogonal_k_neighbor_search<PointTraits, Distance, Splitter, SpatialTree>}.
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\end{ccRefClass}
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@ -1,17 +1,17 @@
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% +------------------------------------------------------------------------+
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% | Reference manual page: Manhattan_distance_rectangle_point.tex
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% | Reference manual page: Manhattan_distance_iso_box_point.tex
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% +------------------------------------------------------------------------+
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% | 1.07.2001 Johan W.H. Tangelder
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% | Package: ASPAS
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% |
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\RCSdef{\RCSManhattandistancerectanglepointRev}{$Revision$}
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\RCSdefDate{\RCSManhattandistancerectanglepointDate}{$Date$}
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\RCSdef{\RCSManhattandistanceisoboxpointRev}{$Revision$}
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\RCSdefDate{\RCSManhattandistanceisoboxpointDate}{$Date$}
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% |
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%%RefPage: end of header, begin of main body
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% +------------------------------------------------------------------------+
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\begin{ccRefClass}{Manhattan_distance_rectangle_point<PointTraits, IsoBox>} %% add template arg's if necessary
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\begin{ccRefClass}{Manhattan_distance_iso_box_point<PointTraits, IsoBox>} %% add template arg's if necessary
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%% \ccHtmlCrossLink{} %% add further rules for cross referencing links
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%% \ccHtmlIndexC[class]{} %% add further index entries
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@ -21,11 +21,11 @@
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The class \ccRefName\ provides an implementation of
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the \ccc{GeneralDistance} concept
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for the Manhattan distance ($l_1$ metric)
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between a $d$-dimensional iso-rectangle and a $d$-dimensional point
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and the Manhattan distance between a $d$-dimensional iso-rectangle
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and a $d$-dimensional iso-rectangle defined as a $k$-$d$ tree rectangle.
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between a $d$-dimensional iso-box and a $d$-dimensional point
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and the Manhattan distance between a $d$-dimensional iso-box
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and a $d$-dimensional iso-box defined as a $k$-$d$ tree rectangle.
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\ccInclude{CGAL/Manhattan_distance_rectangle_point.h}
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\ccInclude{CGAL/Manhattan_distance_iso_box_point.h}
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\ccParameters
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Expects for the first template argument
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@ -49,12 +49,8 @@ GeneralDistance
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\ccCreation
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\ccCreationVariable{d} %% choose variable name
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\ccConstructor{Manhattan_distance_rectangle_point();}{Default constructor implementing Manhattan distance for
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two-dimensional iso-rectangles.}
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\ccConstructor{Manhattan_distance_rectangle_point(int d);}
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{Constructor implementing Manhattan distance for
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$d$-dimensional iso-rectangles.}
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\ccConstructor{Manhattan_distance_iso_box_point();}{Default constructor implementing Manhattan distance for
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two-dimensional iso-boxs.}
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\ccOperations
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@ -69,7 +65,7 @@ $d$-dimensional iso-rectangles.}
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\ccc{r}.}
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\ccMethod{NT max_distance_to_queryitem(IsoBox b q, Kd_tree_rectangle<PointTraits> r;);}
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{Returns the maximal distance between the iso-rectangle \ccc{b} and
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{Returns the maximal distance between the iso-box \ccc{b} and
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a point from \ccc{r} furthest to \ccc{q}.}
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@ -74,7 +74,7 @@ Inserts statistics of the search process into the output stream \ccc{s}.
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\ccSeeAlso
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\ccc{CGAL::General_incremental_neighbor_search<PointTraits, GeneralDistance, SpatialTree>}.
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\ccc{CGAL::Incremental_neighbor_search<PointTraits, GeneralDistance, SpatialTree>}.
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\end{ccRefClass}
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@ -75,7 +75,7 @@ Inserts statistics of the search process into the output stream \ccc{s}.
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\ccSeeAlso
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\ccc{CGAL::General_k_neighbor_search<PointTraits, GeneralDistance, QueryItem, Tree>}.
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\ccc{CGAL::K_neighbor_search<PointTraits, GeneralDistance, Splitter, SpatialTree>}.
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\end{ccRefClass}
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