Inheritance diagram for dirac_to_dirac_approx_short_function< T >:

Public Types
using	GSLVectorType = typename dirac_to_dirac_approx_function_i< T >::GSLVectorType

using	GSLVectorViewType = typename dirac_to_dirac_approx_function_i< T >::GSLVectorViewType

using	GSLMatrixType = typename dirac_to_dirac_approx_function_i< T >::GSLMatrixType

using	wXf = typename dirac_to_dirac_approx_function_i< T >::wXf

using	wXd = typename dirac_to_dirac_approx_function_i< T >::wXd

Public Types inherited from dirac_to_dirac_approx_function_i< T >
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
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=nullptr, const ApproximateOptions &options=ApproximateOptions{}) override
	reduce the data points using raw pointers

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) override
	calculate modified van mises distance based on x and y

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) override
	calculate modified van mises distance based on x and y

bool	approximate (const GSLVectorType y, size_t L, size_t N, size_t bMax, GSLVectorType x, wXf wXcallback, wXd wXDcallback, GslminimizerResult *result=nullptr, const ApproximateOptions &options=ApproximateOptions{}) override
	reduce the data points using gsl vectors

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) override
	calculate modified van mises distance based on x and y

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) override
	calculate modified van mises distance based on x and y

bool	approximate (GSLMatrixType y, size_t L, size_t bMax, GSLMatrixType x, wXf wXcallback, wXd wXDeriv, GslminimizerResult *result=nullptr, const ApproximateOptions &options=ApproximateOptions{}) override
	reduce the data points using gsl matricies where possible

void	modified_van_mises_distance_sq (T distance, GSLMatrixType y, size_t L, size_t bMax, GSLMatrixType *x, wXf wXcallback, wXd wXDcallback) override
	calculate modified van mises distance based on x and y

void	modified_van_mises_distance_sq_derivative (GSLMatrixType gradient, GSLMatrixType y, size_t L, size_t bMax, GSLMatrixType *x, wXf wXcallback, wXd wXDcallback) override
	calculate modified van mises distance based on x and y

bool	approximate (const gsl_vector y, size_t L, size_t N, size_t bMax, gsl_vector x, wXf wXcallback, wXd wXDcallback, GslminimizerResult *result, const ApproximateOptions &options)

void	modified_van_mises_distance_sq (double distance, const gsl_vector y, size_t L, size_t N, size_t bMax, gsl_vector *x, wXf wXcallback, wXd wXDcallback)

void	modified_van_mises_distance_sq_derivative (gsl_matrix gradient, const gsl_vector y, size_t L, size_t N, size_t bMax, gsl_vector *x, wXf wXcallback, wXd wXDcallback)

bool	approximate (const gsl_vector y, size_t L, size_t N, size_t bMax, gsl_vector x, wXf wXcallback, wXd wXDcallback, GslminimizerResult *result, const ApproximateOptions &options)

void	modified_van_mises_distance_sq (double distance, const gsl_vector y, size_t L, size_t N, size_t bMax, gsl_vector *x, wXf wXcallback, wXd wXDcallback)

void	modified_van_mises_distance_sq_derivative (gsl_matrix gradient, const gsl_vector y, size_t L, size_t N, size_t bMax, gsl_vector *x, wXf wXcallback, wXd wXDcallback)

Member Function Documentation

◆ approximate() [1/3]

template<typename T >

bool dirac_to_dirac_approx_short_function< T >::approximate	(	const GSLVectorType *	y,
		size_t	L,
		size_t	N,
		size_t	bMax,
		GSLVectorType *	x,
		wXf	wXcallback,
		wXd	wXDcallback,
		GslminimizerResult *	result = `nullptr`,
		const ApproximateOptions &	options = `ApproximateOptions{}`
	)

overridevirtual

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

Implements dirac_to_dirac_approx_function_i< T >.

◆ approximate() [2/3]

template<typename T >

bool dirac_to_dirac_approx_short_function< 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 = `nullptr`,
		const ApproximateOptions &	options = `ApproximateOptions{}`
	)

overridevirtual

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

Implements dirac_to_dirac_approx_function_i< T >.

◆ approximate() [3/3]

template<typename T >

bool dirac_to_dirac_approx_short_function< T >::approximate	(	GSLMatrixType *	y,
		size_t	L,
		size_t	bMax,
		GSLMatrixType *	x,
		wXf	wXcallback,
		wXd	wXDcallback,
		GslminimizerResult *	result = `nullptr`,
		const ApproximateOptions &	options = `ApproximateOptions{}`
	)

overridevirtual

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

Implements dirac_to_dirac_approx_function_i< T >.

◆ modified_van_mises_distance_sq() [1/3]

template<typename T >

void dirac_to_dirac_approx_short_function< 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
	)

overridevirtual

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

Implements dirac_to_dirac_approx_function_i< T >.

◆ modified_van_mises_distance_sq() [2/3]

template<typename T >

void dirac_to_dirac_approx_short_function< 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
	)

overridevirtual

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

Implements dirac_to_dirac_approx_function_i< T >.

◆ modified_van_mises_distance_sq() [3/3]

template<typename T >

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

overridevirtual

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

Implements dirac_to_dirac_approx_function_i< T >.

◆ modified_van_mises_distance_sq_derivative() [1/3]

template<typename T >

void dirac_to_dirac_approx_short_function< 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
	)

overridevirtual

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

Implements dirac_to_dirac_approx_function_i< T >.

◆ modified_van_mises_distance_sq_derivative() [2/3]

template<typename T >

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

overridevirtual

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

Implements dirac_to_dirac_approx_function_i< T >.

◆ modified_van_mises_distance_sq_derivative() [3/3]

template<typename T >

void dirac_to_dirac_approx_short_function< 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
	)

overridevirtual

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

Implements dirac_to_dirac_approx_function_i< T >.

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

lib/dirac_to_dirac/dirac_to_dirac_approx_short_function.h
lib/dirac_to_dirac/dirac_to_dirac_approx_short_function.cpp

Public Types

Public Member Functions

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]