dirac_to_dirac_approx_short< T > Class Template Reference

Inheritance diagram for dirac_to_dirac_approx_short< T >:

Public Types
using	GSLVectorType = typename dirac_to_dirac_approx_i< T >::GSLVectorType
using	GSLVectorViewType = typename dirac_to_dirac_approx_i< T >::GSLVectorViewType
using	GSLMatrixType = typename dirac_to_dirac_approx_i< T >::GSLMatrixType
using	GSLMatrixViewType = typename dirac_to_dirac_approx_i< T >::GSLMatrixViewType
Public Types inherited from dirac_to_dirac_approx_i< T >
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
bool	approximate (const T *y, size_t M, size_t L, size_t N, size_t bMax, T *x, const T *wX=nullptr, const T *wY=nullptr, 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, const T *wX=nullptr, const T *wY=nullptr) 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, const T *wX=nullptr, const T *wY=nullptr) 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, const GSLVectorType *wX=nullptr, const GSLVectorType *wY=nullptr, 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, const GSLVectorType *wX=nullptr, const GSLVectorType *wY=nullptr) 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, const GSLVectorType *wX=nullptr, const GSLVectorType *wY=nullptr) override
	calculate modified van mises distance based on x and y
bool	approximate (GSLMatrixType *y, size_t L, size_t bMax, GSLMatrixType *x, const GSLVectorType *wX=nullptr, const GSLVectorType *wY=nullptr, 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, const GSLVectorType *wX=nullptr, const GSLVectorType *wY=nullptr) 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, const GSLVectorType *wX=nullptr, const GSLVectorType *wY=nullptr) override
	calculate modified van mises distance based on x and y
bool	approximate (const gsl_vector_float *y, size_t L, size_t N, size_t bMax, gsl_vector_float *x, const gsl_vector_float *wX, const gsl_vector_float *wY, GslminimizerResult *result, const ApproximateOptions &options)
bool	approximate (const gsl_vector *y, size_t L, size_t N, size_t bMax, gsl_vector *x, const gsl_vector *wX, const gsl_vector *wY, GslminimizerResult *result, const ApproximateOptions &options)
void	modified_van_mises_distance_sq (float *distance, const gsl_vector_float *y, size_t L, size_t N, size_t bMax, gsl_vector_float *x, const gsl_vector_float *wX, const gsl_vector_float *wY)
void	modified_van_mises_distance_sq (double *distance, const gsl_vector *y, size_t L, size_t N, size_t bMax, gsl_vector *x, const gsl_vector *wX, const gsl_vector *wY)
void	modified_van_mises_distance_sq_derivative (gsl_matrix_float *gradient, const gsl_vector_float *y, size_t L, size_t N, size_t bMax, gsl_vector_float *x, const gsl_vector_float *wX, const gsl_vector_float *wY)
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, const gsl_vector *wX, const gsl_vector *wY)
bool	approximate (const gsl_vector_float *y, size_t L, size_t N, size_t bMax, gsl_vector_float *x, const gsl_vector_float *wX, const gsl_vector_float *wY, GslminimizerResult *result, const ApproximateOptions &options)
bool	approximate (const gsl_vector *y, size_t L, size_t N, size_t bMax, gsl_vector *x, const gsl_vector *wX, const gsl_vector *wY, GslminimizerResult *result, const ApproximateOptions &options)
void	modified_van_mises_distance_sq (float *distance, const gsl_vector_float *y, size_t L, size_t N, size_t bMax, gsl_vector_float *x, const gsl_vector_float *wX, const gsl_vector_float *wY)
void	modified_van_mises_distance_sq (double *distance, const gsl_vector *y, size_t L, size_t N, size_t bMax, gsl_vector *x, const gsl_vector *wX, const gsl_vector *wY)
void	modified_van_mises_distance_sq_derivative (gsl_matrix_float *gradient, const gsl_vector_float *y, size_t L, size_t N, size_t bMax, gsl_vector_float *x, const gsl_vector_float *wX, const gsl_vector_float *wY)
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, const gsl_vector *wX, const gsl_vector *wY)

Friends
class	benchmark_dirac_to_dirac_approx_short

Member Function Documentation

approximate() [1/3]

template<typename T >

bool dirac_to_dirac_approx_short< T >::approximate ( const GSLVectorType *  y, size_t  L, size_t  N, size_t  bMax, GSLVectorType *  x, const GSLVectorType *  wX = nullptr, const GSLVectorType *  wY = nullptr, 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
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

Implements dirac_to_dirac_approx_i< T >.

approximate() [2/3]

template<typename T >

bool dirac_to_dirac_approx_short< T >::approximate ( const T *  y, size_t  M, size_t  L, size_t  N, size_t  bMax, T *  x, const T *  wX = nullptr, const T *  wY = nullptr, 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
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

Implements dirac_to_dirac_approx_i< T >.

approximate() [3/3]

template<typename T >

bool dirac_to_dirac_approx_short< T >::approximate ( GSLMatrixType *  y, size_t  L, size_t  bMax, GSLMatrixType *  x, const GSLVectorType *  wX = nullptr, const GSLVectorType *  wY = nullptr, 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
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

Implements dirac_to_dirac_approx_i< T >.

modified_van_mises_distance_sq() [1/3]

template<typename T >

void dirac_to_dirac_approx_short< 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 = nullptr, const GSLVectorType *  wY = nullptr  )

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
wX	weights for the x data points
wY	weights for the y data points

Returns

true, on success, false otherwise

Implements dirac_to_dirac_approx_i< T >.

modified_van_mises_distance_sq() [2/3]

template<typename T >

void dirac_to_dirac_approx_short< 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 = nullptr, const T *  wY = nullptr  )

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
wX	weights for the x data points
wY	weights for the y data points

Returns

true, on success, false otherwise

Implements dirac_to_dirac_approx_i< T >.

modified_van_mises_distance_sq() [3/3]

template<typename T >

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

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
wX	weights for the x data points
wY	weights for the y data points

Returns

true, on success, false otherwise

Implements dirac_to_dirac_approx_i< T >.

modified_van_mises_distance_sq_derivative() [1/3]

template<typename T >

void dirac_to_dirac_approx_short< 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 = nullptr, const GSLVectorType *  wY = nullptr  )

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
wX	weights for the x data points
wY	weights for the y data points

Returns

true, on success, false otherwise

Implements dirac_to_dirac_approx_i< T >.

modified_van_mises_distance_sq_derivative() [2/3]

template<typename T >

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

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
wX	weights for the x data points
wY	weights for the y data points

Returns

true, on success, false otherwise

Implements dirac_to_dirac_approx_i< T >.

modified_van_mises_distance_sq_derivative() [3/3]

template<typename T >

void dirac_to_dirac_approx_short< 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 = nullptr, const T *  wY = nullptr  )

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
wX	weights for the x data points
wY	weights for the y data points

Returns

true, on success, false otherwise

Implements dirac_to_dirac_approx_i< T >.

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

• lib/dirac_to_dirac/dirac_to_dirac_approx_short.h
• lib/dirac_to_dirac/dirac_to_dirac_approx_short.cpp