GMToDiracEvenOptimizationParams Struct Reference

optimization parameters for the closed-form even-N Gaussian-to-Dirac approximation More...

#include <gm_to_dirac_even_optimization_params.h>

Inheritance diagram for GMToDiracEvenOptimizationParams:

Public Member Functions
	GMToDiracEvenOptimizationParams (const gsl_vector *wX, size_t N, size_t L, double bMax, bool includeD1)
	Construct a new GMToDiracEvenOptimizationParams object.
	~GMToDiracEvenOptimizationParams ()
	Destroy the GMToDiracEvenOptimizationParams object.
void	update (const gsl_vector *x)
	refresh the per-evaluation caches for a new x
double	distanceSq (size_t i, size_t j) const
	cached squared distance T_ij between samples i and j
Public Member Functions inherited from GslMinimizerOptimizationParams
	GslMinimizerOptimizationParams (size_t L, size_t N)

Data Fields
const gsl_vector *	wX
const double	bMax
const size_t	k
	N / 2.
const double	reportedOffset
const double	objectiveOffset
std::vector< double >	cSqrdNorm
	c_i = ||s_i||^2, size L
SquaredEuclideanDistanceUtilsLL *	squaredEuclideanDistanceUtilLL = nullptr
Data Fields inherited from GslMinimizerOptimizationParams
size_t	L
size_t	N

Detailed Description

optimization parameters for the closed-form even-N Gaussian-to-Dirac approximation

Constructor & Destructor Documentation

GMToDiracEvenOptimizationParams()

GMToDiracEvenOptimizationParams::GMToDiracEvenOptimizationParams ( const gsl_vector *  wX, size_t  N, size_t  L, double  bMax, bool  includeD1  )

inline

Construct a new GMToDiracEvenOptimizationParams object.

Parameters

wX	weights of the Dirac mixture, must be non-null and of size L
N	dimension of the data, must be even and >= 2
L	number of Dirac components, must be >= 1
bMax	upper bound of the b-integral, must be > 0
includeD1	true to carry the sample-independent constant in the objective (see gm_to_dirac_even_closed_form::includeD1InObjective)

Member Function Documentation

distanceSq()

double GMToDiracEvenOptimizationParams::distanceSq ( size_t  i, size_t  j  ) const

inline

cached squared distance T_ij between samples i and j

Parameters

i	index of the first sample
j	index of the second sample

Returns

||s_i - s_j||^2

update()

void GMToDiracEvenOptimizationParams::update ( const gsl_vector *  x )

inline

refresh the per-evaluation caches for a new x

Must be called whenever x changes, before reading cSqrdNorm or distanceSq().

Parameters

x	sample locations, L * N

Field Documentation

objectiveOffset

const double GMToDiracEvenOptimizationParams::objectiveOffset

what the minimizer's objective actually carries: reportedOffset, or 0 if the caller opted out. Adding a constant costs no x-dependent precision.

reportedOffset

const double GMToDiracEvenOptimizationParams::reportedOffset

constant turning the reduced objective into the true distance: distance = f_reduced + reportedOffset. See lcd_reported_offset().

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

• lib/gm_to_dirac_even/gm_to_dirac_even_optimization_params.h