cgal/Spatial_searching/test/Spatial_searching
Sébastien Loriot 93b2b7cbac Add bounded priority queue as an internal data-structure.
Use the bounded_priority_queue inside Orthogonal_k_neighbor search
and K_neighbor_search, a maximum of code is now shared by these two classes.
This reduces computation time and memory needed.
Extend the interface: to save time the sequence  k-nearest neighbors 
can be sorted (default) or not. 
Add a new test that ensures all methods find the same kth closest neighbor.
Update manual.
2010-01-29 15:19:39 +00:00
..
Building_kd_tree_with_ddim_points.cpp
Building_kd_tree_with_own_pointtype.cpp
Circular_query.cpp
Compare_methods.cpp Add bounded priority queue as an internal data-structure. 2010-01-29 15:19:39 +00:00
Distance.h
Iso_rectangle_2_query.cpp
K_neighbor_search_manhattan_distance_isobox_point.cpp
K_neighbor_search_with_circle.cpp Fix a buggy testsuite 2008-11-06 12:09:28 +00:00
Orthogonal_incremental_neighbor_search.cpp Replace Protect_FPU_rounding<true> pfr(CGAL_FE_TONEAREST) 2008-12-03 21:42:28 +00:00
Orthogonal_k_neighbor_search.cpp
Point.h
Range_searching.cpp
Splitters.cpp Replace Protect_FPU_rounding<true> pfr(CGAL_FE_TONEAREST) 2008-12-03 21:42:28 +00:00