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-rw-r--r--src/Bottleneck_distance/doc/Intro_bottleneck_distance.h3
-rw-r--r--src/Bottleneck_distance/include/gudhi/Neighbors_finder.h3
2 files changed, 5 insertions, 1 deletions
diff --git a/src/Bottleneck_distance/doc/Intro_bottleneck_distance.h b/src/Bottleneck_distance/doc/Intro_bottleneck_distance.h
index f8fce96c..6fd058a8 100644
--- a/src/Bottleneck_distance/doc/Intro_bottleneck_distance.h
+++ b/src/Bottleneck_distance/doc/Intro_bottleneck_distance.h
@@ -41,6 +41,9 @@ namespace persistence_diagram {
*
* \image html perturb_pd.png On this picture, the red edges represent the matching. The bottleneck distance is the length of the longest edge.
*
+ * This implementation is based on ideas from "Geometry Helps in Bottleneck Matching and Related Problems"
+ * \cite DBLP:journals/algorithmica/EfratIK01. Another relevant publication, although it was not used is
+ * "Geometry Helps to Compare Persistence Diagrams" \cite Kerber:2017:GHC:3047249.3064175.
*/
/** @} */ // end defgroup bottleneck_distance
diff --git a/src/Bottleneck_distance/include/gudhi/Neighbors_finder.h b/src/Bottleneck_distance/include/gudhi/Neighbors_finder.h
index 36a63ea0..8c12d353 100644
--- a/src/Bottleneck_distance/include/gudhi/Neighbors_finder.h
+++ b/src/Bottleneck_distance/include/gudhi/Neighbors_finder.h
@@ -33,6 +33,7 @@
#include <unordered_set>
#include <vector>
#include <algorithm> // for std::max
+#include <cmath> // for std::abs
namespace Gudhi {
@@ -45,7 +46,7 @@ struct Square_query {
typedef Internal_point Point_d;
typedef double FT;
bool contains(Point_d p) const {
- return std::max(std::abs(p.x()-c.x()), std::abs(p.y()-c.y())) <= size;
+ return (std::max)(std::abs(p.x()-c.x()), std::abs(p.y()-c.y())) <= size;
}
bool inner_range_intersects(CGAL::Kd_tree_rectangle<FT, D> const&r) const {
return