optimization parameters for the Dirac To Dirac approximation with constant weights More...

Inheritance diagram for DiracToDiracConstWeightOptimizationParams:

Public Member Functions
	DiracToDiracConstWeightOptimizationParams (const gsl_vector wX, const gsl_vector wY, const gsl_vector *y, size_t N, size_t M, size_t L, size_t bMax, double cB)
	Construct a new Dirac To Dirac Const Weight Optimization Params object.

	DiracToDiracConstWeightOptimizationParams (const gsl_vector *y, size_t N, size_t M, size_t L, size_t bMax, double cB)
	Construct a new Dirac To Dirac Const Weight Optimization Params object.

	~DiracToDiracConstWeightOptimizationParams ()
	Destroy the Dirac To Dirac Const Weight Optimization Params object.

Public Member Functions inherited from DiracToDiracBaseOptimizationParams
	DiracToDiracBaseOptimizationParams (const gsl_vector wY, const gsl_vector y, size_t N, size_t M, size_t L, size_t bMax, double cB)
	Construct a new Dirac To Dirac Base Optimization Params object.

	~DiracToDiracBaseOptimizationParams ()
	Destroy the Dirac To Dirac Base Optimization Params object.

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

Data Fields
const gsl_vector *	wX

Data Fields inherited from DiracToDiracBaseOptimizationParams
const gsl_vector *	wY

const gsl_vector *	y

const size_t	M

const size_t	bMax

const double	cB

const double	Dy

const double	piPrefactor

const gsl_vector *	meanY

SquaredEuclideanDistanceUtilsLL *	squaredEuclideanDistanceUtilLL

SquaredEuclideanDistanceUtilsLM *	squaredEuclideanDistanceUtilLM

gsl_vector *	vecN

Data Fields inherited from GslMinimizerOptimizationParams
size_t	L

size_t	N

Detailed Description

optimization parameters for the Dirac To Dirac approximation with constant weights

Constructor & Destructor Documentation

DiracToDiracConstWeightOptimizationParams::DiracToDiracConstWeightOptimizationParams	(	const gsl_vector *	wX,
		const gsl_vector *	wY,
		const gsl_vector *	y,
		size_t	N,
		size_t	M,
		size_t	L,
		size_t	bMax,
		double	cB
	)

inline

Construct a new Dirac To Dirac Const Weight Optimization Params object.

uses custom weights wX

Parameters

wX	weight vector for the x data points
wY	weight vector for the y data points
y	input data points
N	dimension of the data
M	number of input data points
L	number of data points for apprioximation
bMax	bMax
cB	cB

DiracToDiracConstWeightOptimizationParams::DiracToDiracConstWeightOptimizationParams	(	const gsl_vector *	y,
		size_t	N,
		size_t	M,
		size_t	L,
		size_t	bMax,
		double	cB
	)

inline

Construct a new Dirac To Dirac Const Weight Optimization Params object.

automatically creates weights wX = 1.00 / L, wY = 1.00 / M

Parameters

y	input data points
N	dimension of the data
M	number of input data points
L	number of data points for apprioximation
bMax	bMax
cB	cB

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