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Rosetta
3.7
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utility functions for kd-tree. See kdtree.hh for more information. More...
#include <numeric/types.hh>
#include <utility/vector1.hh>
#include <numeric/kdtree/KDTree.fwd.hh>
#include <numeric/kdtree/KDNode.fwd.hh>
#include <numeric/kdtree/HyperRectangle.fwd.hh>
#include <numeric/kdtree/KDPointList.hh>
#include <utility/pointer/ReferenceCount.hh>
#include <utility/pointer/ReferenceCount.fwd.hh>
Namespaces | |
numeric | |
Unit headers. | |
numeric::kdtree | |
Functions | |
KDPointList | numeric::kdtree::nearest_neighbors (KDTree &tree, utility::vector1< numeric::Real > const &pt, Size const wanted) |
Returns a KDPointList of the N nearest neighbors from the KDTree to the given input point. More... | |
KDPointList | numeric::kdtree::nearest_neighbors (KDTree &tree, utility::vector1< numeric::Real > const &pt, Size const wanted, numeric::Real const max_dist_allowed) |
void | numeric::kdtree::nearest_neighbor (KDTree &tree, utility::vector1< numeric::Real > const &pt,KDNodeOP &nearest, numeric::Real &dist_sq) |
Searches the KDtree for the nearest neigbor to a given input point, returns nearest neighbor and distance-squared to nearest neigbor by reference. More... | |
void | numeric::kdtree::nearest_neighbor (KDNodeOP ¤t, utility::vector1< numeric::Real > const &pt, HyperRectangle &bounds, numeric::Real max_dist_sq,KDNodeOP &nearest, numeric::Real &dist_sq) |
returns the nearest neighbor to the given point. More... | |
void | numeric::kdtree::nearest_neighbors (KDNodeOP ¤t, utility::vector1< numeric::Real > const &pt, HyperRectangle &bounds, numeric::Real max_dist_sq,KDPointList &neighbors) |
Recursive function definition for search for a list of the N nearest neighbors, where N is defined as a member variable of the KDPointList object. More... | |
utility functions for kd-tree. See kdtree.hh for more information.