MEAL::Gaussian Class Reference

Gaussian function. More...

#include <Gaussian.h>

Inheritance diagram for MEAL::Gaussian:

Public Member Functions
void	set_centre (double centre)
	Set the centre.
double	get_centre () const
	Get the centre.
void	set_width (double width)
	Set the width.
double	get_width () const
	Get the width.
void	set_height (double height)
	Set the height.
double	get_height () const
	Get the height.
void	set_period (double period)
	Set the period.
double	get_period () const
	Get the period.
std::string	get_name () const
	Return the name of the class.
Public Member Functions inherited from MEAL::Univariate< Scalar >
	Univariate ()
	Default constructor.
	Univariate (const Univariate &copy)
	Copy constructor.
Univariate &	operator= (const Univariate &copy)
	Assignment operator.
Univariate< Scalar > *	clone () const
	Clone.
virtual void	set_abscissa (double value)
	Set the abscissa value.
double	get_abscissa () const
	Get the abscissa value.
Scalar ::Result	compute (double x)
	Evaluate the function.
Public Member Functions inherited from MEAL::Scalar
virtual Scalar *	clone () const
	Clone method.
Public Member Functions inherited from MEAL::Evaluable< double >
	Evaluable ()
	Default constructor.
	Evaluable (const Evaluable &copy)
	Copy constructor.
Evaluable &	operator= (const Evaluable &copy)
	Assignment operator.
double	evaluate (std::vector< double > *grad=0) const
	Return the Jones matrix and its gradient.
EstimateTraits< double >::type	estimate () const
	Return the Jones Estimate matrix.
Public Member Functions inherited from MEAL::Function
	Function ()
	Default constructor.
	Function (const Function &model)
	Copy constructor.
Function &	operator= (const Function &model)
	Assignment operator.
virtual	~Function ()
	Virtual destructor.
virtual void	copy (const Function *model)
	Does the work for operator =.
virtual TextInterface::Parser *	get_interface ()
	Return a text interface that can be used to access this instance.
virtual void	parse (const std::string &text)
	Parses the values of model parameters and fit flags from a string.
virtual void	print (std::string &text) const
	Prints the values of model parameters and fit flags to a string.
virtual std::string	get_description () const
	Return the description of the class.
unsigned	get_nparam () const
	Return the number of parameters.
std::string	get_param_name (unsigned index) const
	Return the name of the specified parameter.
std::string	get_param_description (unsigned index) const
	Return the description of the specified parameter.
double	get_param (unsigned index) const
	Return the value of the specified parameter.
void	set_param (unsigned index, double value)
	Set the value of the specified parameter.
double	get_variance (unsigned index) const
	Return the variance of the specified parameter.
void	set_variance (unsigned index, double value)
	Set the variance of the specified parameter.
bool	get_infit (unsigned index) const
	Return true if parameter at index is to be fitted.
void	set_infit (unsigned index, bool flag)
	Set flag for parameter at index to be fitted.
void	set_argument (unsigned dimension, Argument *axis)
	Set the independent variable of the specified dimension.
Estimate< double >	get_Estimate (unsigned index) const
	Return an Estimate of the specified parameter.
void	set_Estimate (unsigned index, const Estimate< double > &param)
	Set the Estimate of the specified parameter.
void	set_verbose (bool)
	Set the verbosity of this instance.
bool	get_verbose () const
	Get the verbosity of this instance.
void	set_evaluation_changed (bool _changed=true)
	Set true if the Function evaluation has changed.
bool	get_evaluation_changed () const
	Return true if the Function evaluation has changed.
const ParameterPolicy *	get_parameter_policy () const
	Provide access to the parameter_policy attribute.
bool	has_parameter_policy () const
	Some wrappers may not have a parameter policy.
virtual void	print_parameters (std::string &text, const std::string &separator) const
	Prints the values of model parameters and fit flags to a string.
Public Member Functions inherited from Reference::Able
	Able (const Able &)
Able &	operator= (const Able &)
unsigned	get_reference_count () const
Public Member Functions inherited from Reference::HeapTracked
	HeapTracked (const HeapTracked &)
HeapTracked &	operator= (const HeapTracked &)
bool	__is_on_heap () const

Protected Member Functions
void	calculate (double &x, std::vector< double > *grad=0)
	Return the value (and gradient, if requested) of the function.
Protected Member Functions inherited from MEAL::Univariate< Scalar >
void	set_univariate_policy (UnivariatePolicy *policy)
UnivariatePolicy *	get_univariate_policy () const
void	copy_univariate_policy (const Univariate *other)
	Copy the parameter policy of another instance.
Protected Member Functions inherited from MEAL::Evaluable< double >
void	calculate (Evaluable *eval, double &result, std::vector< double > *grad)
	Use the calculate method of another Evaluable instance.
void	copy_evaluation_policy (const Evaluable *other)
Protected Member Functions inherited from MEAL::Function
void	copy_evaluation_changed (const Function &model)
	Copy the evaluation changed state of another model instance.
void	copy_parameter_policy (const Function *)
	Copy the parameter policy of another instance.
void	set_parameter_policy (ParameterPolicy *policy)
	Set the parameter policy.
Protected Member Functions inherited from Reference::Able
Handle *	__reference (bool active) const
void	__dereference (bool auto_delete=true) const

Protected Attributes
double	period
	Set to greater than zero if the Gaussian is periodic.
Protected Attributes inherited from MEAL::Evaluable< double >
Reference::To< EvaluationPolicy< double > >	evaluation_policy
	The policy for managing function evaluation.
Protected Attributes inherited from MEAL::Function
Reference::To< ParameterPolicy >	parameter_policy
	The policy for managing function parameters.
Reference::To< ArgumentPolicy >	argument_policy
	The policy for managing function arguments.
bool	set_parameter_policy_context
	Set the parameter policy context.
bool	this_verbose
	The verbosity of this instance.

Additional Inherited Members
Public Types inherited from MEAL::Evaluable< double >
typedef double	Result
	The return type of the evaluate method.
Public Types inherited from MEAL::Function
enum	Attribute { ParameterCount, Evaluation }
	Function attributes that require the attention of Composite models. More...
Static Public Member Functions inherited from MEAL::Function
template<class Model >
static Model *	load (const std::string &filename)
	Construct a new Model instance from a file.
static Function *	load_Function (const std::string &filename)
	Construct a new Function instance from a file.
static Function *	factory (const std::string &text)
	Construct a new Function instance from a string. More...
Static Public Member Functions inherited from Reference::Able
static size_t	get_instance_count ()
Static Public Member Functions inherited from Reference::HeapTracked
static void *	operator new (size_t size, void *ptr=0)
static void	operator delete (void *location, void *ptr)
static void	operator delete (void *location)
static size_t	get_heap_queue_size ()
Public Attributes inherited from MEAL::Function
Callback< Attribute >	changed
	Callback executed when a Function Attribute has been changed.
Static Public Attributes inherited from MEAL::Scalar
static const char *	Name = "Scalar"
	The name of the class. More...
Static Public Attributes inherited from MEAL::Evaluable< double >
static const char *	Name
	The name of the class.
Static Public Attributes inherited from MEAL::Function
static bool	verbose = false
	Verbosity flag.
static bool	very_verbose = false
	Low-level verbosity flag.
static bool	check_zero = false
	When set, some Functions will throw an Error if they evaluate to zero.
static bool	check_variance = false
	When set, some Functions will throw an Error if input variance <= 0.
static bool	cache_results = false
	When set, use the Cached evaluation policy and callbacks.

Detailed Description

Gaussian function.

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

• Gaussian.h
• Gaussian.C