Public Member Functions | List of all members
te::sa::GPMWeightsSquaredInverseDistanceStrategy Class Reference

This class defines a class to calculates a weight for a GPM using Inverse Distance strategy. More...

#include <GPMWeightsSquaredInverseDistanceStrategy.h>

Inheritance diagram for te::sa::GPMWeightsSquaredInverseDistanceStrategy:
te::sa::GPMWeightsAbstractStrategy

Public Member Functions

 GPMWeightsSquaredInverseDistanceStrategy (bool normalize, double a=1.0, double factor=1.0)
 Default constructor. More...
 
virtual ~GPMWeightsSquaredInverseDistanceStrategy ()
 Virtual destructor. More...
 

Methods

Methods used by the GPM constructor

bool m_normalize
 
double m_a
 
double m_factor
 
virtual void calculate (GeneralizedProximityMatrix *gpm)
 

Methods

Methods used by the GPM constructor

GPMWeightsStrategyType m_type
 Weight Type. More...
 
GeneralizedProximityMatrix * m_gpm
 GPM Pointer. More...
 
GPMWeightsStrategyType getWeightsType ()
 
int createWeightAttribute (GeneralizedProximityMatrix *gpm)
 Added to the edge a new attribute for weight information and return the attr index. More...
 
bool getDistanceAttributeIndex (te::graph::GraphMetadata *gm, int &index)
 Function used to get the distance attribute index. More...
 
double getDistanceAttributeValue (te::graph::Edge *e, const int index)
 Function used to get the distance value from a edge element. More...
 

Detailed Description

This class defines a class to calculates a weight for a GPM using Inverse Distance strategy.

Formula: w = (a*1/(dist_centroids)2 + b*1/(dist_to_net)2 + c*1/(dist_net_connection)2)*factor

These values can be normalized or not.

See also
GPMBuilder

Definition at line 57 of file GPMWeightsSquaredInverseDistanceStrategy.h.

Constructor & Destructor Documentation

◆ GPMWeightsSquaredInverseDistanceStrategy()

te::sa::GPMWeightsSquaredInverseDistanceStrategy::GPMWeightsSquaredInverseDistanceStrategy ( bool  normalize,
double  a = 1.0,
double  factor = 1.0 
)

Default constructor.

◆ ~GPMWeightsSquaredInverseDistanceStrategy()

virtual te::sa::GPMWeightsSquaredInverseDistanceStrategy::~GPMWeightsSquaredInverseDistanceStrategy ( )
virtual

Virtual destructor.

Member Function Documentation

◆ calculate()

virtual void te::sa::GPMWeightsSquaredInverseDistanceStrategy::calculate ( GeneralizedProximityMatrix *  gpm)
virtual

Implements te::sa::GPMWeightsAbstractStrategy.

◆ createWeightAttribute()

int te::sa::GPMWeightsAbstractStrategy::createWeightAttribute ( GeneralizedProximityMatrix *  gpm)
protectedinherited

Added to the edge a new attribute for weight information and return the attr index.

◆ getDistanceAttributeIndex()

bool te::sa::GPMWeightsAbstractStrategy::getDistanceAttributeIndex ( te::graph::GraphMetadata *  gm,
int &  index 
)
protectedinherited

Function used to get the distance attribute index.

◆ getDistanceAttributeValue()

double te::sa::GPMWeightsAbstractStrategy::getDistanceAttributeValue ( te::graph::Edge *  e,
const int  index 
)
protectedinherited

Function used to get the distance value from a edge element.

◆ getWeightsType()

GPMWeightsStrategyType te::sa::GPMWeightsAbstractStrategy::getWeightsType ( )
inherited

Member Data Documentation

◆ m_a

double te::sa::GPMWeightsSquaredInverseDistanceStrategy::m_a
protected

Definition at line 83 of file GPMWeightsSquaredInverseDistanceStrategy.h.

◆ m_factor

double te::sa::GPMWeightsSquaredInverseDistanceStrategy::m_factor
protected

Definition at line 85 of file GPMWeightsSquaredInverseDistanceStrategy.h.

◆ m_gpm

GeneralizedProximityMatrix* te::sa::GPMWeightsAbstractStrategy::m_gpm
protectedinherited

GPM Pointer.

Definition at line 97 of file GPMWeightsAbstractStrategy.h.

◆ m_normalize

bool te::sa::GPMWeightsSquaredInverseDistanceStrategy::m_normalize
protected

Definition at line 81 of file GPMWeightsSquaredInverseDistanceStrategy.h.

◆ m_type

GPMWeightsStrategyType te::sa::GPMWeightsAbstractStrategy::m_type
protectedinherited

Weight Type.

Definition at line 95 of file GPMWeightsAbstractStrategy.h.

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