interface for the gausian mixture to dirac approximation More...

#include <dirac_to_dirac_approx_i.h>

Inheritance diagram for dirac_to_dirac_approx_i< T >:

Public Types
using	GSLVectorType = typename GSLTemplateTypeAlias< T >::VectorType

using	GSLVectorViewType = typename GSLTemplateTypeAlias< T >::VectorViewType

using	GSLMatrixType = typename GSLTemplateTypeAlias< T >::MatrixType

using	GSLMatrixViewType = typename GSLTemplateTypeAlias< T >::MatrixViewType

Public Member Functions
virtual bool	approximate (const T y, size_t M, size_t L, size_t N, size_t bMax, T x, const T wX, const T wY, GslminimizerResult *result, const ApproximateOptions &options)=0
	reduce the data points using raw pointers

virtual void	modified_van_mises_distance_sq (T distance, const T y, size_t M, size_t L, size_t N, size_t bMax, T x, const T wX, const T *wY)=0
	calculate modified van mises distance based on x and y

virtual void	modified_van_mises_distance_sq_derivative (T gradient, const T y, size_t M, size_t L, size_t N, size_t bMax, T x, const T wX, const T *wY)=0
	calculate modified van mises distance based on x and y

virtual bool	approximate (const GSLVectorType y, size_t L, size_t N, size_t bMax, GSLVectorType x, const GSLVectorType wX, const GSLVectorType wY, GslminimizerResult *result, const ApproximateOptions &options)=0
	reduce the data points using gsl vectors

virtual void	modified_van_mises_distance_sq (T distance, const GSLVectorType y, size_t L, size_t N, size_t bMax, GSLVectorType x, const GSLVectorType wX, const GSLVectorType *wY)=0
	calculate modified van mises distance based on x and y

virtual void	modified_van_mises_distance_sq_derivative (GSLMatrixType gradient, const GSLVectorType y, size_t L, size_t N, size_t bMax, GSLVectorType x, const GSLVectorType wX, const GSLVectorType *wY)=0
	calculate modified van mises distance based on x and y

virtual bool	approximate (GSLMatrixType y, size_t L, size_t bMax, GSLMatrixType x, const GSLVectorType wX, const GSLVectorType wY, GslminimizerResult *result, const ApproximateOptions &options)=0
	reduce the data points using gsl matricies where possible

virtual void	modified_van_mises_distance_sq (T distance, GSLMatrixType y, size_t L, size_t bMax, GSLMatrixType x, const GSLVectorType wX, const GSLVectorType *wY)=0
	calculate modified van mises distance based on x and y

virtual void	modified_van_mises_distance_sq_derivative (GSLMatrixType gradient, GSLMatrixType y, size_t L, size_t bMax, GSLMatrixType x, const GSLVectorType wX, const GSLVectorType *wY)=0
	calculate modified van mises distance based on x and y

Detailed Description

template<typename T>
class dirac_to_dirac_approx_i< T >

interface for the gausian mixture to dirac approximation

Template Parameters

T	type of the vector (float, double)

Member Function Documentation

◆ approximate() [1/3]

template<typename T >

virtual bool dirac_to_dirac_approx_i< T >::approximate	(	const GSLVectorType *	y,
		size_t	L,
		size_t	N,
		size_t	bMax,
		GSLVectorType *	x,
		const GSLVectorType *	wX,
		const GSLVectorType *	wY,
		GslminimizerResult *	result,
		const ApproximateOptions &	options
	)

pure virtual

reduce the data points using gsl vectors

Parameters

y	input data points
L	number of data points for reduction
N	dimension of the data
bMax	bMax
x	first guess for the reduction and return value
wX	weights for the x data points
wY	weights for the y data points
result	minimizer result
options	options for minimizer

Returns: true, on success, false otherwise

Implemented in dirac_to_dirac_approx_short< T >, and dirac_to_dirac_approx_short_thread< T >.

◆ approximate() [2/3]

template<typename T >

virtual bool dirac_to_dirac_approx_i< T >::approximate	(	const T *	y,
		size_t	M,
		size_t	L,
		size_t	N,
		size_t	bMax,
		T *	x,
		const T *	wX,
		const T *	wY,
		GslminimizerResult *	result,
		const ApproximateOptions &	options
	)

pure virtual

reduce the data points using raw pointers

Parameters

y	input data points
M	number of input data points
L	number of data points for reduction
N	dimension of the data
bMax	bMax
x	first guess for the reduction and return value
wX	weights for the x data points
wY	weights for the y data points
result	minimizer result
options	options for minimizer

Returns: true, on success, false otherwise

Implemented in dirac_to_dirac_approx_short< T >, and dirac_to_dirac_approx_short_thread< T >.

◆ approximate() [3/3]

template<typename T >

virtual bool dirac_to_dirac_approx_i< T >::approximate	(	GSLMatrixType *	y,
		size_t	L,
		size_t	bMax,
		GSLMatrixType *	x,
		const GSLVectorType *	wX,
		const GSLVectorType *	wY,
		GslminimizerResult *	result,
		const ApproximateOptions &	options
	)

pure virtual

reduce the data points using gsl matricies where possible

Parameters

y	input data points
L	number of data points for reduction
bMax	bMax
x	first guess for the reduction and return value
wX	weights for the x data points
wY	weights for the y data points
result	minimizer result
options	options for minimizer

Returns: true, on success, false otherwise

Implemented in dirac_to_dirac_approx_short< T >, and dirac_to_dirac_approx_short_thread< T >.

◆ modified_van_mises_distance_sq() [1/3]

template<typename T >

virtual void dirac_to_dirac_approx_i< T >::modified_van_mises_distance_sq	(	T *	distance,
		const GSLVectorType *	y,
		size_t	L,
		size_t	N,
		size_t	bMax,
		GSLVectorType *	x,
		const GSLVectorType *	wX,
		const GSLVectorType *	wY
	)

pure virtual

calculate modified van mises distance based on x and y

Parameters

distance	pointer to distance value to be calculated
y	input data points
L	number of elements in x
N	dimension of the data
bMax	bMax
x	input data points
wX	weights for the x data points
wY	weights for the y data points

Returns: true, on success, false otherwise

Implemented in dirac_to_dirac_approx_short< T >, and dirac_to_dirac_approx_short_thread< T >.

◆ modified_van_mises_distance_sq() [2/3]

template<typename T >

virtual void dirac_to_dirac_approx_i< T >::modified_van_mises_distance_sq	(	T *	distance,
		const T *	y,
		size_t	M,
		size_t	L,
		size_t	N,
		size_t	bMax,
		T *	x,
		const T *	wX,
		const T *	wY
	)

pure virtual

calculate modified van mises distance based on x and y

Parameters

distance	pointer to distance value to be calculated
y	input data points
M	number of elements in y
L	number of elements in x
N	dimension of the data
bMax	bMax
x	input data points
wX	weights for the x data points
wY	weights for the y data points

Returns: true, on success, false otherwise

Implemented in dirac_to_dirac_approx_short< T >, and dirac_to_dirac_approx_short_thread< T >.

◆ modified_van_mises_distance_sq() [3/3]

template<typename T >

virtual void dirac_to_dirac_approx_i< T >::modified_van_mises_distance_sq	(	T *	distance,
		GSLMatrixType *	y,
		size_t	L,
		size_t	bMax,
		GSLMatrixType *	x,
		const GSLVectorType *	wX,
		const GSLVectorType *	wY
	)

pure virtual

calculate modified van mises distance based on x and y

Parameters

distance	pointer to distance value to be calculated
y	input data points
L	number of elements in x
bMax	bMax
x	input data points
wX	weights for the x data points
wY	weights for the y data points

Returns: true, on success, false otherwise

Implemented in dirac_to_dirac_approx_short< T >, and dirac_to_dirac_approx_short_thread< T >.

◆ modified_van_mises_distance_sq_derivative() [1/3]

template<typename T >

virtual void dirac_to_dirac_approx_i< T >::modified_van_mises_distance_sq_derivative	(	GSLMatrixType *	gradient,
		const GSLVectorType *	y,
		size_t	L,
		size_t	N,
		size_t	bMax,
		GSLVectorType *	x,
		const GSLVectorType *	wX,
		const GSLVectorType *	wY
	)

pure virtual

calculate modified van mises distance based on x and y

Parameters

gradient	pointer to gradient to be calculated
y	input data points
L	number of elements in x
N	dimension of the data
bMax	bMax
x	input data points
wX	weights for the x data points
wY	weights for the y data points

Returns: true, on success, false otherwise

Implemented in dirac_to_dirac_approx_short< T >, and dirac_to_dirac_approx_short_thread< T >.

◆ modified_van_mises_distance_sq_derivative() [2/3]

template<typename T >

virtual void dirac_to_dirac_approx_i< T >::modified_van_mises_distance_sq_derivative	(	GSLMatrixType *	gradient,
		GSLMatrixType *	y,
		size_t	L,
		size_t	bMax,
		GSLMatrixType *	x,
		const GSLVectorType *	wX,
		const GSLVectorType *	wY
	)

pure virtual

calculate modified van mises distance based on x and y

Parameters

gradient	pointer to gradient to be calculated
y	input data points
L	number of elements in x
bMax	bMax
x	input data points
wX	weights for the x data points
wY	weights for the y data points

Returns: true, on success, false otherwise

Implemented in dirac_to_dirac_approx_short< T >, and dirac_to_dirac_approx_short_thread< T >.

◆ modified_van_mises_distance_sq_derivative() [3/3]

template<typename T >

virtual void dirac_to_dirac_approx_i< T >::modified_van_mises_distance_sq_derivative	(	T *	gradient,
		const T *	y,
		size_t	M,
		size_t	L,
		size_t	N,
		size_t	bMax,
		T *	x,
		const T *	wX,
		const T *	wY
	)

pure virtual

calculate modified van mises distance based on x and y

Parameters

gradient	pointer to gradient to be calculated
y	input data points
M	number of elements in y
L	number of elements in x
N	dimension of the data
bMax	bMax
x	input data points
wX	weights for the x data points
wY	weights for the y data points

Returns: true, on success, false otherwise

Implemented in dirac_to_dirac_approx_short< T >, and dirac_to_dirac_approx_short_thread< T >.

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

lib/dirac_to_dirac/dirac_to_dirac_approx_i.h

Public Types

Public Member Functions

Detailed Description

Member Function Documentation

◆ approximate() [1/3]

◆ approximate() [2/3]

◆ approximate() [3/3]

◆ modified_van_mises_distance_sq() [1/3]

◆ modified_van_mises_distance_sq() [2/3]

◆ modified_van_mises_distance_sq() [3/3]

◆ modified_van_mises_distance_sq_derivative() [1/3]

◆ modified_van_mises_distance_sq_derivative() [2/3]

◆ modified_van_mises_distance_sq_derivative() [3/3]