interface for the gausian mixture to dirac approximation with a custom weight function More...

#include <dirac_to_dirac_approx_function_i.h>

Inheritance diagram for dirac_to_dirac_approx_function_i< T >:

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

using	GSLVectorViewType = typename GSLTemplateTypeAlias< T >::VectorViewType

using	GSLMatrixType = typename GSLTemplateTypeAlias< T >::MatrixType

using	wXf = void()(const double x, double *res, size_t L, size_t N)

using	wXd = wXf

Public Member Functions
virtual bool	approximate (const T y, size_t M, size_t L, size_t N, size_t bMax, T x, wXf wXcallback, wXd wXDcallback, 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, wXf wXcallback, wXd wXDcallback)=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, wXf wXcallback, wXd wXDcallback)=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, wXf wXcallback, wXd wXDcallback, 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, wXf wXcallback, wXd wXDcallback)=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, wXf wXcallback, wXd wXDcallback)=0
	calculate modified van mises distance based on x and y

virtual bool	approximate (GSLMatrixType y, size_t L, size_t bMax, GSLMatrixType x, wXf wXcallback, wXd wXDcallback, 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, wXf wXcallback, wXd wXDcallback)=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, wXf wXcallback, wXd wXDcallback)=0
	calculate modified van mises distance based on x and y

Detailed Description

template<typename T>
class dirac_to_dirac_approx_function_i< T >

interface for the gausian mixture to dirac approximation with a custom weight function

Template Parameters

T	type of the vector (float, double)

Member Function Documentation

◆ approximate() [1/3]

template<typename T >

virtual bool dirac_to_dirac_approx_function_i< T >::approximate	(	const GSLVectorType *	y,
		size_t	L,
		size_t	N,
		size_t	bMax,
		GSLVectorType *	x,
		wXf	wXcallback,
		wXd	wXDcallback,
		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
wXcallback	callback for the weight function
wXDcallback	callback for the gradient of the weight function
result	minimizer result
options	options for minimizer

Returns: true, on success, false otherwise

Implemented in dirac_to_dirac_approx_short_function< T >.

◆ approximate() [2/3]

template<typename T >

virtual bool dirac_to_dirac_approx_function_i< T >::approximate	(	const T *	y,
		size_t	M,
		size_t	L,
		size_t	N,
		size_t	bMax,
		T *	x,
		wXf	wXcallback,
		wXd	wXDcallback,
		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
wXcallback	callback for the weight function
wXDcallback	callback for the gradient of the weight function
result	minimizer result
options	options for minimizer

Returns: true, on success, false otherwise

Implemented in dirac_to_dirac_approx_short_function< T >.

◆ approximate() [3/3]

template<typename T >

virtual bool dirac_to_dirac_approx_function_i< T >::approximate	(	GSLMatrixType *	y,
		size_t	L,
		size_t	bMax,
		GSLMatrixType *	x,
		wXf	wXcallback,
		wXd	wXDcallback,
		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
wXcallback	callback for the weight function
wXDcallback	callback for the gradient of the weight function
result	minimizer result
options	options for minimizer

Returns: true, on success, false otherwise

Implemented in dirac_to_dirac_approx_short_function< T >.

◆ modified_van_mises_distance_sq() [1/3]

template<typename T >

virtual void dirac_to_dirac_approx_function_i< T >::modified_van_mises_distance_sq	(	T *	distance,
		const GSLVectorType *	y,
		size_t	L,
		size_t	N,
		size_t	bMax,
		GSLVectorType *	x,
		wXf	wXcallback,
		wXd	wXDcallback
	)

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
wXcallback	callback for the weight function
wXDcallback	callback for the gradient of the weight function

Returns: true, on success, false otherwise

Implemented in dirac_to_dirac_approx_short_function< T >.

◆ modified_van_mises_distance_sq() [2/3]

template<typename T >

virtual void dirac_to_dirac_approx_function_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,
		wXf	wXcallback,
		wXd	wXDcallback
	)

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
wXcallback	callback for the weight function
wXDcallback	callback for the gradient of the weight function

Returns: true, on success, false otherwise

Implemented in dirac_to_dirac_approx_short_function< T >.

◆ modified_van_mises_distance_sq() [3/3]

template<typename T >

virtual void dirac_to_dirac_approx_function_i< T >::modified_van_mises_distance_sq	(	T *	distance,
		GSLMatrixType *	y,
		size_t	L,
		size_t	bMax,
		GSLMatrixType *	x,
		wXf	wXcallback,
		wXd	wXDcallback
	)

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
wXcallback	callback for the weight function
wXDcallback	callback for the gradient of the weight function

Returns: true, on success, false otherwise

Implemented in dirac_to_dirac_approx_short_function< T >.

◆ modified_van_mises_distance_sq_derivative() [1/3]

template<typename T >

virtual void dirac_to_dirac_approx_function_i< T >::modified_van_mises_distance_sq_derivative	(	GSLMatrixType *	gradient,
		const GSLVectorType *	y,
		size_t	L,
		size_t	N,
		size_t	bMax,
		GSLVectorType *	x,
		wXf	wXcallback,
		wXd	wXDcallback
	)

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
wXcallback	callback for the weight function
wXDcallback	callback for the gradient of the weight function

Returns: true, on success, false otherwise

Implemented in dirac_to_dirac_approx_short_function< T >.

◆ modified_van_mises_distance_sq_derivative() [2/3]

template<typename T >

virtual void dirac_to_dirac_approx_function_i< T >::modified_van_mises_distance_sq_derivative	(	GSLMatrixType *	gradient,
		GSLMatrixType *	y,
		size_t	L,
		size_t	bMax,
		GSLMatrixType *	x,
		wXf	wXcallback,
		wXd	wXDcallback
	)

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
wXcallback	callback for the weight function
wXDcallback	callback for the gradient of the weight function

Returns: true, on success, false otherwise

Implemented in dirac_to_dirac_approx_short_function< T >.

◆ modified_van_mises_distance_sq_derivative() [3/3]

template<typename T >

virtual void dirac_to_dirac_approx_function_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,
		wXf	wXcallback,
		wXd	wXDcallback
	)

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
wXcallback	callback for the weight function
wXDcallback	callback for the gradient of the weight function

Returns: true, on success, false otherwise

Implemented in dirac_to_dirac_approx_short_function< T >.

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

lib/dirac_to_dirac/dirac_to_dirac_approx_function_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]