implements a vectorized version of calculating squared euclidean distances store in a vector More...

Inheritance diagram for SquaredEuclideanDistance_LL_vectorized_optimized:

Public Member Functions
	SquaredEuclideanDistance_LL_vectorized_optimized (size_t L, size_t N)

double	getDistance (size_t xi, size_t xj) const override

void	calculateDistance (const gsl_matrix x, const gsl_matrix y) override
	calculate all squared euclidean distance between vectors contained as columns in x and y

Public Member Functions inherited from SquaredEuclideanDistanceUtilsLL
	SquaredEuclideanDistanceUtilsLL (size_t L, size_t N)

Public Member Functions inherited from SquaredEuclideanDistanceUtils
	SquaredEuclideanDistanceUtils (size_t L, size_t M, size_t N)

size_t	getL () const

size_t	getM () const

size_t	getN () const

Additional Inherited Members
Static Protected Member Functions inherited from SquaredEuclideanDistanceUtils
static gsl_matrix	convToMatrix (const gsl_vector *v, size_t N) noexcept
	convert an gsl_vector to a N column gsl_matrix

Protected Attributes inherited from SquaredEuclideanDistanceUtils
size_t	L

size_t	M

size_t	N

Detailed Description

implements a vectorized version of calculating squared euclidean distances store in a vector

uses symmetrie: ||xi - xj||² = ||xj - xi||² and ||xi - xj||² = ||xi||² + ||xj||² - 2 * xiᵀ * xj

with cblas functions

only needs to calculate (L² - L) / 2 elements

Member Function Documentation

void SquaredEuclideanDistance_LL_vectorized_optimized::calculateDistance	(	const gsl_matrix *	x,
		const gsl_matrix *	y
	)

inlineoverridevirtual

calculate all squared euclidean distance between vectors contained as columns in x and y

Parameters

x	LxN Matrix with L vectors of size N
y	MxN Matrix with M vectors of size M

double SquaredEuclideanDistance_LL_vectorized_optimized::getDistance	(	size_t	xi,
		size_t	xj
	)		const

inlineoverridevirtual

The documentation for this class was generated from the following file: