Classes | Files | Functions
private implementation

Classes

struct  Nabo::BruteForceSearch< T >
 Brute-force nearest neighbour. More...
struct  Nabo::KDTreeUnbalancedPtInLeavesImplicitBoundsStackOpt< T, Heap >
 KDTree, unbalanced, points in leaves, stack, implicit bounds, ANN_KD_SL_MIDPT, optimised implementation. More...

Files

file  brute_force_cpu.cpp
 

brute force search, cpu implementation


file  index_heap.h
 

implementation of index heaps


file  kdtree_cpu.cpp
 

kd-tree search, cpu implementation


file  nabo.cpp
 

implementation of public interface


file  nabo_private.h
 

header for implementation


Functions

template<typename T , typename A , typename B >
Nabo::dist2 (const A &v0, const B &v1)
 Euclidean distance.

Function Documentation

template<typename T , typename A , typename B >
T Nabo::dist2 ( const A v0,
const B &  v1 
) [inline]

Euclidean distance.

Definition at line 69 of file nabo_private.h.



libnabo
Author(s): St├ęphane Magnenat
autogenerated on Thu Jan 2 2014 11:15:54