template<typename fitterT>
class mx::math::fit::fitEmpirical2DGen< fitterT >

Class to manage fitting a 2D Moffat to data via the levmarInterface.

Fits The Moffat Function to a 2-dimensional array of data.

This class allows for treating any of the parameters as fixed.

Template Parameters

fitterT a type meeting the requirements specified in levmarInterface.

Definition at line 62 of file fitEmpirical.hpp.

#include <math/fit/fitEmpirical.hpp>

Inheritance diagram for mx::math::fit::fitEmpirical2DGen< fitterT >:

Public Member Functions
void	setFixed (bool scale, bool dx, bool dy)
	Set whether each parameter is fixed.

void	setGuess (realT scale, realT dx, realT dy)
	Set the initial guess for the empirical fit.

void	setArray (const eigenImage< realT > data, const eigenImage< realT > ref)
	Set the data aray.

realT	scale ()
	Get the current value of the scale factor.

realT	dx ()
	Get the current value of dx, the x shift.

realT	dy ()
	Get the current value of dy, the y shift.

Public Member Functions inherited from mx::math::fit::levmarInterface< fitterT >
	levmarInterface ()
	Default constructor.

	levmarInterface (realT i_p, realT i_x, int i_m, int i_n, void *i_adata)
	Setup constructor.

	~levmarInterface ()
	Destructor.

void	nParams (int i_m)
	Set number of parameters, but don't allocate.

int	nParams ()
	Get the current number of parameters.

void	allocate_params ()
	Allocate parameters array based on previous call to nParams.

void	allocate_params (int i_m)
	Set number of parameters and allocate.

void	point_params (realT *i_p)
	Point the parameter pointer at an externally allocated array.

void	point_params (realT *i_p, int i_m)
	Point the parameter pointer at an externally allocated array.

void	set_params (realT *i_p)
	Copy parameters to the parameter array.

realT *	get_params ()
	Get current pointer array address.

void	set_itmax (int i_itmax)
	Set the maximum number of iterations.

int	get_itmax ()
	Get the maximum number of iterations.

void	allocate_work ()
	Allocate the work and covar matrices.

void	set_opts (int n, realT val)
	Set one of the minimization options to val.

void	set_opts_default (int n=-1)
	Set one or all of the minimization options to the default.

realT	get_opts (int n)
	Get the current value of an option.

int	fit ()
	Perform the fit.

realT	get_initial_norm ()
	Returns the L2-norm before minimization occurs.

realT	get_final_norm ()
	Returns the L2-norm at the end of the minimization.

int	get_iterations ()
	Get the number of iterations taken during the minimization.

int	get_reason_code ()
	Get a code specifying the reason minimization terminated.

std::string	get_reason_string ()
	Get the descriptive string describing the reason minimization terminated.

int	get_fevals ()
	Get the number of function evaluations during the minimization.

int	get_jevals ()
	Get the number of jacobian evaluations during the minimization.

int	get_nlinsys ()
	Get the number of linear system solutions during the minimization.

double	get_deltaT ()
	Get the elapsed time of the fit.

template<typename iosT , char comment = '#'>
iosT &	dumpParameters (iosT &ios)
	Output current parameters to a stream.

template<char comment = '#'>
std::ostream &	dumpParameters ()
	Dump the parameter vector to stdout.

template<typename iosT , char comment = '#'>
iosT &	dumpReport (iosT &ios, bool dumpParams=true)
	Output current parameters to a stream.

template<char comment = '#'>
std::ostream &	dumpReport (bool dumpParams=true)
	Dump a status report to stdout.

Additional Inherited Members
Public Attributes inherited from mx::math::fit::levmarInterface< fitterT >
realT *	x
	I: measurement vector. NULL implies a zero vector.

int	n
	I: measurement vector dimension.

realT	opts [LM_OPTS_SZ]
	Options passed to the minimization routines. See set_opts for details.

realT	info [LM_INFO_SZ]
	Information regarding the minimization.

double	deltaT
	Elapsed time of the fitting procedure.

realT *	work
	Working memory passed to the levmar routines.

int	work_sz
	The current size of the work array.

realT *	covar
	Covariance matrix corresponding to LS solution; mxm.

int	covar_sz
	The current size of the covar array.

bool	getCovar
	Controls whether the covar array is allocated.

void *	adata
	Pointer to possibly additional data, passed uninterpreted to func & jacf.

Protected Attributes inherited from mx::math::fit::levmarInterface< fitterT >
realT *	p
	Parameter array. On input is the initial estimates. On output has the estimated solution.

realT *	init_p
	Parameter array on input, saved for comparison.

int	m
	Parameter vector dimension (i.e. number of unknowns)

bool	own_p
	Flag indicating whether the p array is owned by this object (for de-allocation).

int	itmax
	Maximum number of iterations, default is 100.

Member Function Documentation

◆ dx()

template<typename fitterT >

realT mx::math::fit::fitEmpirical2DGen< fitterT >::dx ( )

inline

Get the current value of dx, the x shift.

Returns: the current value of dx

Definition at line 133 of file fitEmpirical.hpp.

References mx::math::fit::levmarInterface< fitterT >::p.

Referenced by mx::math::fit::fitEmpirical2DGen< fitterT >::setFixed().

◆ dy()

template<typename fitterT >

realT mx::math::fit::fitEmpirical2DGen< fitterT >::dy ( )

inline

Get the current value of dy, the y shift.

Returns: the current value of dy

Definition at line 142 of file fitEmpirical.hpp.

References mx::math::fit::levmarInterface< fitterT >::p.

Referenced by mx::math::fit::fitEmpirical2DGen< fitterT >::setFixed().

◆ scale()

template<typename fitterT >

realT mx::math::fit::fitEmpirical2DGen< fitterT >::scale ( )

inline

Get the current value of the scale factor.

Returns: the current value of scale

Definition at line 124 of file fitEmpirical.hpp.

References mx::math::fit::levmarInterface< fitterT >::p.

Referenced by mx::math::fit::fitEmpirical2DGen< fitterT >::setFixed().

◆ setArray()

template<typename fitterT >

void mx::math::fit::fitEmpirical2DGen< fitterT >::setArray	(	const eigenImage< realT > *	data,
		const eigenImage< realT > *	ref
	)

inline

Set the data aray.

Parameters

[in]	data	pointer to an nx X ny array of data to be fit
[in]	ref	pointer to the empirical function to fit

Definition at line 111 of file fitEmpirical.hpp.

References mx::math::fit::array2FitEmpirical< realT >::m_nx, mx::math::fit::array2FitEmpirical< realT >::m_ny, mx::math::fit::levmarInterface< fitterT >::n, and mx::math::six_fifths().

◆ setFixed()

template<typename fitterT >

void mx::math::fit::fitEmpirical2DGen< fitterT >::setFixed	(	bool	scale,
		bool	dx,
		bool	dy
	)

inline

Set whether each parameter is fixed.

Sets the parameter indices appropriately.

Parameters

[in]	scale	if true, then scale will be not be part of the fit
[in]	dx	if true, then dx will be not be part of the fit
[in]	dy	if true, then dy will be not be part of the fit

Definition at line 90 of file fitEmpirical.hpp.

References mx::math::fit::levmarInterface< fitterT >::allocate_params(), mx::math::fit::fitEmpirical2DGen< fitterT >::dx(), mx::math::fit::fitEmpirical2DGen< fitterT >::dy(), mx::math::fit::fitEmpirical2DGen< fitterT >::scale(), and mx::math::fit::array2FitEmpirical< realT >::setFixed().

◆ setGuess()

template<typename fitterT >

void mx::math::fit::fitEmpirical2DGen< fitterT >::setGuess	(	realT	scale,
		realT	dx,
		realT	dy
	)

inline

Set the initial guess for the empirical fit.

Parameters

[in]	scale	the scale factr
[in]	dx	the x shift
[in]	dy	the y shift

Definition at line 100 of file fitEmpirical.hpp.

References mx::math::fit::levmarInterface< fitterT >::p.

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

math/fit/fitEmpirical.hpp

Public Member Functions

Additional Inherited Members

Member Function Documentation

◆ dx()

◆ dy()

◆ scale()

◆ setArray()

◆ setFixed()

◆ setGuess()