CONDENSATION (CONditional DENSity EstimATION) is a state estimator very similiar to the Kalman Filter, not only for Gaussian-, but also for any multi-modal distribution. More...

#include <StateEstimator/Condensation.hh>

Inheritance diagram for BIAS::Condensation:

Collaboration diagram for BIAS::Condensation:

Public Member Functions
void	AddDebugLevel (const long int lv)

void	AddDebugLevel (const std::string &name)

	Condensation ()

bool	DebugLevelIsSet (const long int lv) const

bool	DebugLevelIsSet (const std::string &name) const

virtual void	EvaluateImportanceWeights ()
	If you want to use importance sampling, then overload this function, which is the importance function. More...

virtual void	EvaluateObservationDensities ()=0
	most important function, here u have to calculate a probability for each sample position based on your observations and assign this prob. More...

int	GetDebugLevel () const

std::ostream &	GetDebugStream () const

void	GetDebugStream (std::ostream &os) const

Vector< double >	GetMean ()
	returns the mean state of the density distribution More...

double	GetMeanWeight () const
	Returns the mean weight of all samples. More...

const std::vector < BIAS::Vector< double > > &	GetSamplePositions ()

double	GetVariance () const
	returns the weighted variance as a scalar More...

bool	GetVariance (Vector< double > &var) const
	Returns the variance of the sample positions in var. More...

bool	GetWeightedVariance (Vector< double > &var) const
	Returns the "weighted variance" of the sample positions in var. More...

int	Init (unsigned int nrSmaples)
	Init the Condensation directly after constructor, with the desired amount of Samples, there more the better the approximation of the real densities. More...

virtual void	InitModelDefaults ()=0
	Here u can specify the model and process defaults. More...

int	InitPrior ()
	sets the sample positions for first time step More...

virtual void	InitPriorPositions (unsigned int nrOfInitSamples)=0
	The Prior condition is used to init the first sample positions. More...

long int	Name2DebugLevel (const std::string &name) const
	looks up a debuglevel in the internal map, returns 0 if not found More...

long int	NewDebugLevel (const std::string &name)
	creates a new debuglevel More...

int	PredictNewSamplePositions ()

void	PrintDebugLevel (std::ostream &os=std::cout) const

void	Process ()
	This really does one iteration of Condensation. More...

void	RemoveDebugLevel (const long int lv)

void	RemoveDebugLevel (const std::string &name)

void	SetDebugLevel (const long int lv)

void	SetDebugLevel (const std::string &name)

void	SetDebugStream (const std::ostream &os)

void	SetDefaultInitFraction (double fraction)
	Set the amount of samples, whose position is always taken by the prior distribution. More...

void	SetImportanceSampleFraction (double fraction)
	Only specifiy a value unlike zero, if EvaluateImportanceWeights() is overloaded. More...

void	SetPredictionOffset (const BIAS::Vector< double > &offSet)
	all samples are moved by this offset at the prediction step More...

void	SetProcessMean (const BIAS::Vector< double > &newProcessMean)
	set a new processMean for the PredictSamplePosition step, see SecondOrderARP_() More...

void	ShowDebugLevel (std::ostream &os=std::cout) const
	prints all internally known debuglevels More...

virtual	~Condensation ()

Static Public Member Functions
static long int	GetGlobalDebugLevel ()

static void	SetGlobalDebugLevel (long int lev)

Protected Member Functions
virtual void	AddDiffusions_ ()
	Adds gaussian noise to the position, can be overwritten if some other (i.e. More...

virtual void	AddOffsets_ ()
	adds offSet_ to the samplePosNew_, can be overwritten if some other offset mechanism is needed More...

virtual void	CalculateBaseWeights_ ()
	Once all the unweighted sample positions have been computed using predict_new_bases, this routine computes the weights by evaluating the observation density at each of the positions. More...

void	CalculateMean_ ()

long	ConsumeNextFreeDebuglevel_ ()
	returns the next available debuglevel More...

unsigned int	PickImportanceSample_ ()

unsigned int	PickOneSample_ ()
	The process model for a first-order auto-regressive process is: x_{t+1} - mean = (x_t - mean)scaling + sigmaw_t where w_t is unit iid Gaussian noise, which is added by AddDiffusion. More...

void	SecondOrderARP_ (unsigned int indexOldSample, Vector< double > &newSample)
	question: real pos_tminus2 of each sample or better old mean value for all samples? More...

Static Protected Member Functions
static int	compdouble (const void l, const void r)

Protected Attributes
bool	_doSecondOrderARP

long int	_liDebugLevel

long int	_liNextDebugLevel
	new concept, debuglevel are managed here in the debug class More...

double *	_randomArray

std::map< std::string, long int >	_String2Debuglevel

std::vector< double >	correctionOfImportanceWeights_

std::vector< double >	cumulProbArray_

std::vector< double >	cumulProbArrayImportance_

double	defaultInitFraction_

Vector< double >	diffusionSigma_
	Process parameters. More...

double	importanceFraction_

std::vector< unsigned int >	indexTminus2_

bool	initial_

Vector< double >	mean_

Vector< double >	meanTminus1_

unsigned int	Nsamples_

BIAS::Vector< double >	offSet_

std::vector< unsigned int >	oldIndices_

Vector< double >	processFirstOrderScale_

Vector< double >	processMean_

Vector< double >	processSecondOrderScale_

Random	random_

std::vector< double >	sampleImportanceWeights_

std::vector< Vector< double > >	samplePosNew_

std::vector< Vector< double > >	samplePosOld_

std::vector< Vector< double > >	samplePosTminus2_

std::vector< double >	sampleWeights_

unsigned int	stateDim_

double	sumOfImportanceWeights_

double	sumOfWeights_

Static Protected Attributes
static std::ostream	_zDebugStream

static long int	GlobalDebugLevel = 0

Detailed Description

CONDENSATION (CONditional DENSity EstimATION) is a state estimator very similiar to the Kalman Filter, not only for Gaussian-, but also for any multi-modal distribution.

Also it is a rather simple algorithm.

The current state of a system, described by a state vector, is estimated using a certain number of samples, which approximate the real densities. This is done by incorporating measurements ( p(Z|X) ) with a prior distribution p(X)= p(X_t-1 | z_t).

Usage:

Write a class derived from Condensation and overload the three necessary functions. See CondensImg and Examples/condensImgExample for examples.
In your main program, just call Init() once with the desired amount of samples
optional, set parameter for the initial prior distribution(write your own function)
call InitPrior(), which calls InitPriorPositions() and precalculates the weigths etc.

In the loop:

call PredictNewSamplePositions();
GetSamplePositions() and measure at those positions
call your own necessary functions to give the condensation your observation values, e. g.SetObservation()
call Process(), which calls EvaluateObservationDensities() and calculates the mean etc.
Get the real state of the system, e.g. the mean with GetMean()
Author
Daniel Grest, Feb. 2004

Definition at line 81 of file Condensation.hh.

Constructor & Destructor Documentation

Condensation::Condensation ( )

Definition at line 38 of file Condensation.cpp.

Condensation::~Condensation ( )

virtual

Definition at line 53 of file Condensation.cpp.

Member Function Documentation

void BIAS::Debug::AddDebugLevel ( const long int lv )

inlineinherited

Examples:: EvaluateAlignment.cpp, ExampleAlignment.cpp, ExampleMinMax.cpp, ExampleRANSAC_double.cpp, ExampleRANSACPlane.cpp, and ExampleTriangulateOptimal.cpp.

Definition at line 355 of file Debug.hh.

Referenced by BIAS::GLProjectionParametersBase::AddDebugLevel(), BIAS::Triangulation::CorrectCorrespondences(), BIAS::FilterBase< InputStorageType, OutputStorageType >::FilterBase(), BIAS::ShowCamWxVideoSourceFactory::OpenDevice(), and BIAS::SceneOpenSceneGraph::SceneOpenSceneGraph().

void BIAS::Debug::AddDebugLevel ( const std::string & name )

inlineinherited

Definition at line 362 of file Debug.hh.

void Condensation::AddDiffusions_ ( )

protectedvirtual

Adds gaussian noise to the position, can be overwritten if some other (i.e.

non gaussian) noise is needed

Definition at line 275 of file Condensation.cpp.

void Condensation::AddOffsets_ ( )

protectedvirtual

adds offSet_ to the samplePosNew_, can be overwritten if some other offset mechanism is needed

Definition at line 292 of file Condensation.cpp.

void Condensation::CalculateBaseWeights_ ( )

protectedvirtual

Once all the unweighted sample positions have been computed using predict_new_bases, this routine computes the weights by evaluating the observation density at each of the positions.

Cumulative probabilities are also computed at the same time, to permit an efficient implementation of pick_base_sample using binary search.

Definition at line 301 of file Condensation.cpp.

References BIAS::TimeMeasure::GetRealTime(), BIAS::TimeMeasure::Reset(), BIAS::TimeMeasure::Start(), and BIAS::TimeMeasure::Stop().

void BIAS::Condensation::CalculateMean_ ( )

inlineprotected

Definition at line 324 of file Condensation.hh.

References BIAS::TimeMeasure::GetRealTime(), mean_, BIAS::Vector< T >::MultiplyIP(), Nsamples_, samplePosOld_, sampleWeights_, BIAS::Vector< T >::Set(), BIAS::TimeMeasure::Start(), BIAS::TimeMeasure::Stop(), and sumOfWeights_.

static int BIAS::Condensation::compdouble	(	const void *	l,
		const void *	r
	)

inlinestaticprotected

Definition at line 252 of file Condensation.hh.

long BIAS::Debug::ConsumeNextFreeDebuglevel_ ( )

inlineprotectedinherited

returns the next available debuglevel

Author: woelk 09/2006

Definition at line 521 of file Debug.hh.

bool BIAS::Debug::DebugLevelIsSet ( const long int lv ) const

inlineinherited

Examples:: ExampleTriangulateOptimal.cpp.

Definition at line 341 of file Debug.hh.

Referenced by BIAS::GenSynthMatches::_AddUniformDistributedOutliers(), BIAS::GenSynthMatches::_CreateCamMovement(), BIAS::GenSynthMatches::_CreateStatic2DPoints(), BIAS::UnscentedTransform::ComputeSigmaPoints_(), BIAS::Triangulation::CorrectCorrespondences(), BIAS::GenSynthMatches::GetGTNormalizedF(), BIAS::MonteCarloTransform::GetSamples_(), and BIAS::MonteCarloTransform::Transform().

bool BIAS::Debug::DebugLevelIsSet ( const std::string & name ) const

inlineinherited

Definition at line 350 of file Debug.hh.

virtual void BIAS::Condensation::EvaluateImportanceWeights ( )

inlinevirtual

If you want to use importance sampling, then overload this function, which is the importance function.

It should be a density distribution, which gives hint where to measure the object state.
Evaluate here the samplePosOld_, not the new ones
IMPORTANT: the scale of the importance weights must be equal to the normal weights, like in EvaluateObservationDensities()

Reimplemented in BIAS::CondensImg.

Definition at line 177 of file Condensation.hh.

virtual void BIAS::Condensation::EvaluateObservationDensities ( )

pure virtual

most important function, here u have to calculate a probability for each sample position based on your observations and assign this prob.

as a weight to the sample

Implemented in BIAS::CondensHisto, and BIAS::CondensImg.

int BIAS::Debug::GetDebugLevel ( ) const

inlineinherited

Examples:: ExampleCamera.cpp, ExampleCamPoseCalib.cpp, ExampleCopy.cpp, and ExampleParabola.cpp.

Definition at line 332 of file Debug.hh.

Referenced by BIAS::listenthread(), BIAS::Image< StorageType >::operator=(), and BIAS::ImageBase::operator=().

std::ostream& BIAS::Debug::GetDebugStream ( ) const

inlineinherited

Definition at line 405 of file Debug.hh.

void BIAS::Debug::GetDebugStream ( std::ostream & os ) const

inlineinherited

Definition at line 414 of file Debug.hh.

static long int BIAS::Debug::GetGlobalDebugLevel ( )

inlinestaticinherited

Definition at line 431 of file Debug.hh.

Vector<double> BIAS::Condensation::GetMean ( void )

inline

returns the mean state of the density distribution

Examples:: ExampleCondensImg.cpp.

Definition at line 115 of file Condensation.hh.

double Condensation::GetMeanWeight ( ) const

Returns the mean weight of all samples.

Initialization samples and importance samples are not used in calculation.

Author: woelk 12/2004

Definition at line 432 of file Condensation.cpp.

const std::vector<BIAS::Vector<double> >& BIAS::Condensation::GetSamplePositions ( )

inline

Definition at line 107 of file Condensation.hh.

double Condensation::GetVariance ( ) const

returns the weighted variance as a scalar

Author: grest

Definition at line 375 of file Condensation.cpp.

bool Condensation::GetVariance ( Vector< double > & var ) const

Returns the variance of the sample positions in var.

Initialization samples and importance samples are not used in calculation.

Author: woelk 12/2004

Definition at line 412 of file Condensation.cpp.

References BIAS::Vector< T >::ElementwiseProduct(), TNT::Vector< T >::newsize(), and BIAS::Vector< T >::SetZero().

bool Condensation::GetWeightedVariance ( Vector< double > & var ) const

Returns the "weighted variance" of the sample positions in var.

Initialization samples and importance samples are not used in calculation.

Author: woelk 12/2004

Definition at line 390 of file Condensation.cpp.

References BIAS::Vector< T >::ElementwiseProduct(), TNT::Vector< T >::newsize(), and BIAS::Vector< T >::SetZero().

int Condensation::Init ( unsigned int nrSmaples )

Init the Condensation directly after constructor, with the desired amount of Samples, there more the better the approximation of the real densities.

The other Init functions are called here also.

Examples:: ExampleCondensHisto.cpp, and ExampleCondensImg.cpp.

Definition at line 58 of file Condensation.cpp.

virtual void BIAS::Condensation::InitModelDefaults ( )

pure virtual

Here u can specify the model and process defaults.

Implemented in BIAS::CondensHisto, and BIAS::CondensImg.

int Condensation::InitPrior ( )

sets the sample positions for first time step

Examples:: ExampleCondensHisto.cpp, and ExampleCondensImg.cpp.

Definition at line 113 of file Condensation.cpp.

References BIAS::TimeMeasure::GetRealTime(), BIAS::TimeMeasure::Start(), and BIAS::TimeMeasure::Stop().

virtual void BIAS::Condensation::InitPriorPositions ( unsigned int nrOfInitSamples )

pure virtual

The Prior condition is used to init the first sample positions.

Calculates a initial pos for all samples. The prior cond. maybe defined by an image (if state vector is 2-dim) or by a mixture of gaussions or Uniform_distributed or ... or ...

Implemented in BIAS::CondensHisto, and BIAS::CondensImg.

long int BIAS::Debug::Name2DebugLevel ( const std::string & name ) const

inlineinherited

looks up a debuglevel in the internal map, returns 0 if not found

Author: woelk 09/2006

Definition at line 454 of file Debug.hh.

long int BIAS::Debug::NewDebugLevel ( const std::string & name )

inlineinherited

creates a new debuglevel

Author: woelk 09/2006

Definition at line 474 of file Debug.hh.

Referenced by BIAS::COSAC< SolutionType >::COSAC(), BIAS::ProjectionParametersPerspectiveDepth::Init(), BIAS::MonteCarloTransform::MonteCarloTransform(), BIAS::PMatrixEstimation::PMatrixEstimation(), BIAS::PreemptiveRANSAC< SolutionType >::PreemptiveRANSAC(), BIAS::RANSACPreKnowledge< SolutionType >::RANSACPreKnowledge(), BIAS::ROI::ROI(), BIAS::RotationAveraging::RotationAveraging(), BIAS::SceneOpenSceneGraph::SceneOpenSceneGraph(), BIAS::ThreeDOutOpenSceneGraph::ThreeDOutOpenSceneGraph(), BIAS::Triangulation::Triangulation(), and BIAS::UnscentedTransform::UnscentedTransform().

unsigned int BIAS::Condensation::PickImportanceSample_ ( )

inlineprotected

Definition at line 282 of file Condensation.hh.

References cumulProbArrayImportance_, BIAS::Random::GetUniformDistributed(), Nsamples_, random_, and sumOfImportanceWeights_.

unsigned int BIAS::Condensation::PickOneSample_ ( )

inlineprotected

The process model for a first-order auto-regressive process is:
x_{t+1} - mean = (x_t - mean)*scaling + sigma*w_t
where w_t is unit iid Gaussian noise, which is added by AddDiffusion.

This is binary search using cumulative probabilities to pick a base sample. The use of this routine makes Condensation O(NlogN) where N is the number of samples. It is probably better to pick base samples deterministically, since then the algorithm is O(N) and probably marginally more efficient, but this routine is kept here for conceptual simplicity and because it maps better to the published literature.

Definition at line 258 of file Condensation.hh.

References cumulProbArray_, BIAS::Random::GetUniformDistributed(), Nsamples_, random_, and sumOfWeights_.

int Condensation::PredictNewSamplePositions ( )

now pick samples from the last time step using the weights

most probably from the process model

most probably gaussian noise

Examples:: ExampleCondensHisto.cpp, and ExampleCondensImg.cpp.

Definition at line 142 of file Condensation.cpp.

References BIAS::TimeMeasure::GetRealTime(), BIAS::TimeMeasure::Reset(), BIAS::TimeMeasure::Start(), and BIAS::TimeMeasure::Stop().

void BIAS::Debug::PrintDebugLevel ( std::ostream & os = std::cout ) const

inlineinherited

Definition at line 383 of file Debug.hh.

void Condensation::Process ( )

This really does one iteration of Condensation.

It calls PredictSamplePosition() and EvaluateObservationDensity() in the necessary order.

Examples:: ExampleCondensHisto.cpp, and ExampleCondensImg.cpp.

Definition at line 332 of file Condensation.cpp.

References BIAS::TimeMeasure::GetRealTime(), BIAS::TimeMeasure::Reset(), BIAS::TimeMeasure::Start(), and BIAS::TimeMeasure::Stop().

void BIAS::Debug::RemoveDebugLevel ( const long int lv )

inlineinherited

Definition at line 369 of file Debug.hh.

void BIAS::Debug::RemoveDebugLevel ( const std::string & name )

inlineinherited

Definition at line 376 of file Debug.hh.

void BIAS::Condensation::SecondOrderARP_	(	unsigned int	indexOldSample,
		Vector< double > &	newSample
	)

inlineprotected

question: real pos_tminus2 of each sample or better old mean value for all samples?

Definition at line 303 of file Condensation.hh.

References indexTminus2_, processFirstOrderScale_, processMean_, processSecondOrderScale_, samplePosOld_, samplePosTminus2_, and stateDim_.

void BIAS::Debug::SetDebugLevel ( const long int lv )

inlineinherited

void BIAS::Debug::SetDebugLevel ( const std::string & name )

inlineinherited

Definition at line 325 of file Debug.hh.

void BIAS::Debug::SetDebugStream ( const std::ostream & os )

inlineinherited

Definition at line 398 of file Debug.hh.

void Condensation::SetDefaultInitFraction ( double fraction )

Set the amount of samples, whose position is always taken by the prior distribution.

Default is 0.2.
fraction must be in [0..1];

Definition at line 260 of file Condensation.cpp.

static void BIAS::Debug::SetGlobalDebugLevel ( long int lev )

inlinestaticinherited

Definition at line 424 of file Debug.hh.

void Condensation::SetImportanceSampleFraction ( double fraction )

Only specifiy a value unlike zero, if EvaluateImportanceWeights() is overloaded.

Definition at line 268 of file Condensation.cpp.

void BIAS::Condensation::SetPredictionOffset ( const BIAS::Vector< double > & offSet )

inline

all samples are moved by this offset at the prediction step

Definition at line 103 of file Condensation.hh.

void BIAS::Condensation::SetProcessMean ( const BIAS::Vector< double > & newProcessMean )

inline

set a new processMean for the PredictSamplePosition step, see SecondOrderARP_()

Definition at line 152 of file Condensation.hh.

void BIAS::Debug::ShowDebugLevel ( std::ostream & os = std::cout ) const

inlineinherited

prints all internally known debuglevels

Author: woelk 09/2006

Definition at line 496 of file Debug.hh.

Member Data Documentation

bool BIAS::Condensation::_doSecondOrderARP

protected

Definition at line 177 of file Condensation.hh.

long int BIAS::Debug::_liDebugLevel

protectedinherited

Definition at line 510 of file Debug.hh.

Referenced by BIAS::Debug::operator=(), and BIAS::ImageBase::operator=().

long int BIAS::Debug::_liNextDebugLevel

protectedinherited

new concept, debuglevel are managed here in the debug class

Definition at line 516 of file Debug.hh.

Referenced by BIAS::Debug::operator=().

double* BIAS::Condensation::_randomArray

protected

Definition at line 249 of file Condensation.hh.

std::map<std::string, long int> BIAS::Debug::_String2Debuglevel

protectedinherited

Definition at line 517 of file Debug.hh.

Referenced by BIAS::Debug::operator=().

std::ostream BIAS::Debug::_zDebugStream

staticprotectedinherited

Definition at line 511 of file Debug.hh.

Referenced by BIAS::Debug::operator=().

std::vector<double> BIAS::Condensation::correctionOfImportanceWeights_

protected

Definition at line 236 of file Condensation.hh.

std::vector<double> BIAS::Condensation::cumulProbArray_

protected

Definition at line 234 of file Condensation.hh.

Referenced by PickOneSample_().

std::vector<double> BIAS::Condensation::cumulProbArrayImportance_

protected

Definition at line 235 of file Condensation.hh.

Referenced by PickImportanceSample_().

double BIAS::Condensation::defaultInitFraction_

protected

Definition at line 245 of file Condensation.hh.

Vector<double> BIAS::Condensation::diffusionSigma_

protected

Process parameters.

Definition at line 241 of file Condensation.hh.

long int BIAS::Debug::GlobalDebugLevel = 0

staticprotectedinherited

Definition at line 513 of file Debug.hh.

double BIAS::Condensation::importanceFraction_

protected

Definition at line 246 of file Condensation.hh.

std::vector<unsigned int> BIAS::Condensation::indexTminus2_

protected

Definition at line 230 of file Condensation.hh.

Referenced by SecondOrderARP_().

bool BIAS::Condensation::initial_

protected

Definition at line 244 of file Condensation.hh.

Vector<double> BIAS::Condensation::mean_

protected

Definition at line 232 of file Condensation.hh.

Referenced by CalculateMean_().

Vector<double> BIAS::Condensation::meanTminus1_

protected

Definition at line 232 of file Condensation.hh.

unsigned int BIAS::Condensation::Nsamples_

protected

Definition at line 223 of file Condensation.hh.

Referenced by CalculateMean_(), PickImportanceSample_(), and PickOneSample_().

BIAS::Vector<double> BIAS::Condensation::offSet_

protected

Definition at line 250 of file Condensation.hh.

std::vector<unsigned int> BIAS::Condensation::oldIndices_

protected

Definition at line 230 of file Condensation.hh.

Vector<double> BIAS::Condensation::processFirstOrderScale_

protected

Definition at line 242 of file Condensation.hh.

Referenced by SecondOrderARP_().

Vector<double> BIAS::Condensation::processMean_

protected

Definition at line 241 of file Condensation.hh.

Referenced by SecondOrderARP_().

Vector<double> BIAS::Condensation::processSecondOrderScale_

protected

Definition at line 242 of file Condensation.hh.

Referenced by SecondOrderARP_().

Random BIAS::Condensation::random_

protected

Definition at line 248 of file Condensation.hh.

Referenced by PickImportanceSample_(), and PickOneSample_().

std::vector<double> BIAS::Condensation::sampleImportanceWeights_

protected

Definition at line 235 of file Condensation.hh.

std::vector<Vector<double> > BIAS::Condensation::samplePosNew_

protected

Definition at line 225 of file Condensation.hh.

std::vector<Vector<double> > BIAS::Condensation::samplePosOld_

protected

Definition at line 226 of file Condensation.hh.

Referenced by CalculateMean_(), and SecondOrderARP_().

std::vector<Vector<double> > BIAS::Condensation::samplePosTminus2_

protected

Definition at line 227 of file Condensation.hh.

Referenced by SecondOrderARP_().

std::vector<double> BIAS::Condensation::sampleWeights_

protected

Definition at line 234 of file Condensation.hh.

Referenced by CalculateMean_().

unsigned int BIAS::Condensation::stateDim_

protected

Definition at line 224 of file Condensation.hh.

Referenced by SecondOrderARP_().

double BIAS::Condensation::sumOfImportanceWeights_

protected

Definition at line 238 of file Condensation.hh.

Referenced by PickImportanceSample_().

double BIAS::Condensation::sumOfWeights_

protected

Definition at line 238 of file Condensation.hh.

Referenced by CalculateMean_(), and PickOneSample_().

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

StateEstimator/Condensation.hh
StateEstimator/Condensation.cpp

Public Member Functions

Static Public Member Functions

Protected Member Functions

Static Protected Member Functions

Protected Attributes

Static Protected Attributes

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation