#include <distance_to_average.hh>

Inheritance diagram for DistanceToAverage:

Collaboration diagram for DistanceToAverage:

Public Member Functions
	DistanceToAverage ()

virtual	~DistanceToAverage ()

int	initialize ()

int	iterate ()

int	done () const

Scalar	getValue (const Sample &x) const

int	getConvergence (Scalar *val)

Public Member Functions inherited from AlgorithmImpl
	AlgorithmImpl (AlgMetadata const *metadata)

virtual	~AlgorithmImpl ()

void	setParameters (int nparam, AlgParameter const *param)

void	setParameters (const ParamSetType &)

std::string const	getID () const

AlgMetadata const *	getMetadata () const

AlgorithmPtr	getFreshCopy ()

virtual int	supportsModelProjection () const

Model	createModel (const SamplerPtr &samp, CallbackWrapper *func=0)

void	setSampler (const SamplerPtr &samp)

virtual int	finalize ()

virtual int	getConvergence (Scalar *const val) const

virtual float	getProgress () const

virtual int	needNormalization ()

Normalizer *	getNormalizer () const

void	setNormalization (const SamplerPtr &samp) const

void	setNormalization (const EnvironmentPtr &env) const

virtual Model	getModel () const

ConfigurationPtr	getConfiguration () const

void	setConfiguration (const ConstConfigurationPtr &)

Public Member Functions inherited from Configurable
virtual	~Configurable ()

Protected Member Functions
virtual void	_getConfiguration (ConfigurationPtr &) const

virtual void	_setConfiguration (const ConstConfigurationPtr &)

Protected Member Functions inherited from AlgorithmImpl
int	dimDomain ()

int	getParameter (std::string const &name, std::string *value)

int	getParameter (std::string const &name, double *value)

int	getParameter (std::string const &name, float *value)

int	getParameter (std::string const &name, int *value)

Private Attributes
bool	_done

Scalar	_dist

Scalar	_min
	Store the minimum distance (for debug). More...

Scalar	_max
	Store the maximum distance (for debug). More...

Sample	_avg
	Average related to occurrence points. More...

Additional Inherited Members
Public Types inherited from AlgorithmImpl
typedef std::map< icstring, std::string >	ParamSetType

Protected Attributes inherited from AlgorithmImpl
SamplerPtr	_samp

Normalizer *	_normalizerPtr

ParamSetType	_param

Detailed Description

Declaration of cartesian DistanceToAverage algorithm.

Author: Mauro E S Mu�oz (mauro.nosp@m.@cri.nosp@m.a.org.nosp@m..br)

Date: 2003-09-12

Id:: distance_to_average.hh 3382 2007-07-19 19:09:18Z rdg

LICENSE INFORMATION

http://www.cria.org.br

This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details:

http://www.gnu.org/copyleft/gpl.html Algorithm to generate models based on the cartesian DistanceToAverage from the average related to occurrence points.

Definition at line 42 of file distance_to_average.hh.