radius search => near search

git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/call_it_near_search@2669 636b058d-ea47-450e-bf9e-a15bfbe3eedb

Former-commit-id: e77c8b7de12df9cf5d0a6ef8d79e4b14a28237b3

4 files changed, 7 insertions, 7 deletions

diff --git a/src/Spatial_searching/doc/Intro_spatial_searching.h b/src/Spatial_searching/doc/Intro_spatial_searching.h
index 9a3c1b65..22652ac4 100644
--- a/src/Spatial_searching/doc/Intro_spatial_searching.h
+++ b/src/Spatial_searching/doc/Intro_spatial_searching.h
@@ -46,7 +46,7 @@ namespace spatial_searching {
  * 
  * \section spatial_searching_examples Example
  * 
- * This example generates 500 random points, then performs radius search, and queries for nearest and farthest points using different methods.
+ * This example generates 500 random points, then performs near search, and queries for nearest and farthest points using different methods.
  * 
  * \include Spatial_searching/example_spatial_searching.cpp
  * 
diff --git a/src/Spatial_searching/example/example_spatial_searching.cpp b/src/Spatial_searching/example/example_spatial_searching.cpp
index 9e6a8f32..201b589e 100644
--- a/src/Spatial_searching/example/example_spatial_searching.cpp
+++ b/src/Spatial_searching/example/example_spatial_searching.cpp
@@ -48,10 +48,10 @@ int main(void) {
   for (auto ifs_iterator = ifn_range.begin(); ifs_iterator->first != 0; ++ifs_iterator)
     std::cout << ifs_iterator->first << " (sq. dist. = " << ifs_iterator->second << ")\n";
 
-  // Radius search
-  std::cout << "Radius search:\n";
+  // Near search
+  std::cout << "Near search:\n";
   std::vector<std::size_t> rs_result;
-  points_ds.radius_search(points[45], 0.5, std::back_inserter(rs_result));
+  points_ds.near_search(points[45], 0.5, std::back_inserter(rs_result));
   K k;
   for (auto const& p_idx : rs_result)
     std::cout << p_idx << " (sq. dist. = " << k.squared_distance_d_object()(points[p_idx], points[45]) << ")\n";
diff --git a/src/Spatial_searching/include/gudhi/Kd_tree_search.h b/src/Spatial_searching/include/gudhi/Kd_tree_search.h
index f13a98f7..a4385c84 100644
--- a/src/Spatial_searching/include/gudhi/Kd_tree_search.h
+++ b/src/Spatial_searching/include/gudhi/Kd_tree_search.h
@@ -264,7 +264,7 @@ class Kd_tree_search {
   ///                Note: `it` is used this way: `*it++ = each_point`.
   /// @param[in] eps Approximation factor.
   template <typename OutputIterator>
-  void radius_search(
+  void near_search(
     Point const& p,
     FT radius,
     OutputIterator it,
diff --git a/src/Spatial_searching/test/test_Kd_tree_search.cpp b/src/Spatial_searching/test/test_Kd_tree_search.cpp
index f79114bc..663a103a 100644
--- a/src/Spatial_searching/test/test_Kd_tree_search.cpp
+++ b/src/Spatial_searching/test/test_Kd_tree_search.cpp
@@ -110,10 +110,10 @@ BOOST_AUTO_TEST_CASE(test_Kd_tree_search) {
   // Same result for KFN and IFN?
   BOOST_CHECK(kfn_result == ifn_result);
 
-  // Test radius search
+  // Test near search
   Point rs_q(rd.get_double(-1., 1), rd.get_double(-1., 1), rd.get_double(-1., 1), rd.get_double(-1., 1));
   std::vector<std::size_t> rs_result;
-  points_ds.radius_search(rs_q, 0.5, std::back_inserter(rs_result));
+  points_ds.near_search(rs_q, 0.5, std::back_inserter(rs_result));
   K k;
   for (auto const& p_idx : rs_result)
     BOOST_CHECK(k.squared_distance_d_object()(points[p_idx], rs_q) <= 0.5);