nanoflann.hpp File Reference

#include <algorithm>
#include <cassert>
#include <cmath>
#include <cstdio>
#include <cstdlib>
#include <limits>
#include <stdexcept>
#include <vector>

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Classes
class	nanoflann::KNNResultSet< DistanceType, IndexType, CountType >
class	nanoflann::RadiusResultSet< DistanceType, IndexType >
struct	nanoflann::IndexDist_Sorter
struct	nanoflann::L1_Adaptor< T, DataSource, _DistanceType >
struct	nanoflann::L2_Adaptor< T, DataSource, _DistanceType >
struct	nanoflann::L2_Simple_Adaptor< T, DataSource, _DistanceType >
struct	nanoflann::metric_L1
struct	nanoflann::metric_L1::traits< T, DataSource >
struct	nanoflann::metric_L2
struct	nanoflann::metric_L2::traits< T, DataSource >
struct	nanoflann::metric_L2_Simple
struct	nanoflann::metric_L2_Simple::traits< T, DataSource >
struct	nanoflann::KDTreeSingleIndexAdaptorParams
struct	nanoflann::SearchParams
class	nanoflann::PooledAllocator
class	nanoflann::CArray< T, N >
struct	nanoflann::array_or_vector_selector< DIM, T >
struct	nanoflann::array_or_vector_selector<-1, T >
class	nanoflann::KDTreeSingleIndexAdaptor< Distance, DatasetAdaptor, DIM, IndexType >
struct	nanoflann::KDTreeSingleIndexAdaptor< Distance, DatasetAdaptor, DIM, IndexType >::Node
struct	nanoflann::KDTreeSingleIndexAdaptor< Distance, DatasetAdaptor, DIM, IndexType >::Interval
struct	nanoflann::KDTreeEigenMatrixAdaptor< MatrixType, DIM, Distance >

Namespaces
namespace	nanoflann

Macros
#define	NANOFLANN_VERSION   0x123

Functions
template<typename T >
void	nanoflann::save_value (FILE *stream, const T &value, size_t count=1)
template<typename T >
void	nanoflann::save_value (FILE *stream, const std::vector< T > &value)
template<typename T >
void	nanoflann::load_value (FILE *stream, T &value, size_t count=1)
template<typename T >
void	nanoflann::load_value (FILE *stream, std::vector< T > &value)
template<typename T >
T *	nanoflann::allocate (size_t count=1)

Variables
const size_t	nanoflann::WORDSIZE = 16
const size_t	nanoflann::BLOCKSIZE = 8192