wns::markovchain::MarkovBase< T > Class Template Reference

Base Class to represent a Markov Process. More...

#include <markovchain/MarkovBase.hpp>

Inheritance diagram for wns::markovchain::MarkovBase< T >:

Collaboration diagram for wns::markovchain::MarkovBase< T >:

List of all members.

Public Member Functions

int getActualStateIndex (int actualchain) const

get the actual state index for a certain chain

const T * getStateContent (int index) const

returns a state from the vector of states

const std::vector< double > & getStateProbabilities () const

double getStateProbability (int stateIndex) const

get the state probability for a state

const std::vector< T > & getStates () const

get Vector of States

double getTransitionMatrixElement (int row, int col) const

get Transitions/probabilities Matrix elements

MarkovBase (int nos, int noc, std::vector< T > states, TransitionMatrixType matrix, std::vector< int > sStates)

Creates a Complete MarkovBase.

MarkovBase (int _numberOfChains)

Creates an empty MarkovBase. numberOfChains is needed.

int readNumberOfStates (std::istream &in)

Reads the number of states from a stream.

void readTransitionsFromFile (std::istream &in)

Reads the matrix of transitions/probabilities between the states from a stream.

void setNumberOfStates (int _numberOfStates)

setNumberOfStates. The allocation of vectors and matrices is done afterwards

void setStartStates (std::vector< int > states)

set Start States

void setTransitionMatrix (const TransitionMatrixType &matrix)

set Transitions/probabilities Matrix

void setTransitionMatrixElement (int row, int col, double value)

set Transitions/probabilities Matrix elements

virtual ~MarkovBase ()

MarkovBase destructor.

Protected Member Functions

virtual void calculateStateProbabilities ()

determine the probability of each state. this cannot be done here, as it depends on the transition matrix type (continuous or discrete)

Protected Attributes

std::vector< int > actualStates

Internal representation of actual states: vector of actual states: one for each chain.

wns::logger::Logger logger

logger

std::vector< int > nextStates

Internal representation of next state: vector of next states, one for each chain.

std::vector< double > nextTransitionTime

Internal representation of next state transition time: vector of next states transition time, one for each chain.

int numberOfChains

Internal representation of the number of chains.

int numberOfStates

Internal representation of the number of states.

std::vector< int > startStates

Internal representation of start states: vector of start states, one for each chain.

std::vector< double > stateProbabilities

probability of each state. Calculated in calculateStateProbabilities (different for continuous and discrete)

TransitionMatrixType transitionsMatrix

Internal representation of the matrix of transitions/probabilities.

std::vector< T > vectorOfStates

representation of vector of states

Private Member Functions

void prepareTransitionMatrixAndVectorOfStates ()

prepare transitions/probabilities Matrix and the vector of states. It is called when the numberOfStates is known.

Friends

class MarkovBaseTest

std::ostream & operator<< (std::ostream &os, const MarkovBase &markov)

Detailed Description

template<class T>
class wns::markovchain::MarkovBase< T >

Author:: Sara Gutierrez de Mesa (sgm@comnets.rwth-aachen.de)
Rainer Schoenen (rs@comnets.rwth-aachen.de)

Functions and attributes that have in common MarkovContinuousTime and MarkovDiscreteTime. both classes derive from it

Definition at line 52 of file MarkovBase.hpp.

Constructor & Destructor Documentation

template<class T>

wns::markovchain::MarkovBase< T >::MarkovBase ( int _numberOfChains ) [inline]

Definition at line 69 of file MarkovBase.hpp.

template<class T>

wns::markovchain::MarkovBase< T >::MarkovBase	(	int	nos,
		int	noc,
		std::vector< T >	states,
		TransitionMatrixType	matrix,
		std::vector< int >	sStates
	)			`[inline]`

NumberOfStates: nos NumberOfChains: noc states: vector that contains all the states matrix: transition matrix/probability matrix startstates: vector with position of startstate of each chain actualstates: vector with position of actualstate of each chain nextstates: vector with position of nextstate of each chain nextTransitionTime: vector with Nexttransitiontime of each chain

Definition at line 99 of file MarkovBase.hpp.

template<class T>

virtual wns::markovchain::MarkovBase< T >::~MarkovBase ( ) [inline, virtual]

Definition at line 123 of file MarkovBase.hpp.

Member Function Documentation

template<class T>

virtual void wns::markovchain::MarkovBase< T >::calculateStateProbabilities ( ) [inline, protected, virtual]

Reimplemented in wns::markovchain::MarkovContinuousTime< T >, wns::markovchain::MarkovContinuousTimeTraffic, wns::markovchain::MarkovDiscreteTime< T >, wns::markovchain::MarkovDiscreteTimeTraffic, wns::markovchain::MarkovContinuousTime< wns::markovchain::TrafficSpec >, and wns::markovchain::MarkovDiscreteTime< wns::markovchain::TrafficSpec >.

Definition at line 289 of file MarkovBase.hpp.

template<class T>

int wns::markovchain::MarkovBase< T >::getActualStateIndex ( int actualchain ) const [inline]

Definition at line 153 of file MarkovBase.hpp.

template<class T>

const T* wns::markovchain::MarkovBase< T >::getStateContent ( int index ) const [inline]

Definition at line 179 of file MarkovBase.hpp.

template<class T>

const std::vector<double>& wns::markovchain::MarkovBase< T >::getStateProbabilities ( ) const [inline]

Definition at line 169 of file MarkovBase.hpp.

template<class T>

double wns::markovchain::MarkovBase< T >::getStateProbability ( int stateIndex ) const [inline]

Definition at line 162 of file MarkovBase.hpp.

template<class T>

const std::vector<T>& wns::markovchain::MarkovBase< T >::getStates ( ) const [inline]

Definition at line 143 of file MarkovBase.hpp.

template<class T>

double wns::markovchain::MarkovBase< T >::getTransitionMatrixElement	(	int	row,
		int	col
	)			const `[inline]`

Definition at line 209 of file MarkovBase.hpp.

template<class T>

void wns::markovchain::MarkovBase< T >::prepareTransitionMatrixAndVectorOfStates ( ) [inline, private]

Definition at line 358 of file MarkovBase.hpp.

template<class T>

int wns::markovchain::MarkovBase< T >::readNumberOfStates ( std::istream & in ) [inline]

Definition at line 231 of file MarkovBase.hpp.

template<class T>

void wns::markovchain::MarkovBase< T >::readTransitionsFromFile ( std::istream & in ) [inline]

Definition at line 259 of file MarkovBase.hpp.

template<class T>

void wns::markovchain::MarkovBase< T >::setNumberOfStates ( int _numberOfStates ) [inline]

Definition at line 133 of file MarkovBase.hpp.

template<class T>

void wns::markovchain::MarkovBase< T >::setStartStates ( std::vector< int > states ) [inline]

Definition at line 188 of file MarkovBase.hpp.

template<class T>

void wns::markovchain::MarkovBase< T >::setTransitionMatrix ( const TransitionMatrixType & matrix ) [inline]

Definition at line 222 of file MarkovBase.hpp.

template<class T>

void wns::markovchain::MarkovBase< T >::setTransitionMatrixElement	(	int	row,
		int	col,
		double	value
	)			`[inline]`

Definition at line 198 of file MarkovBase.hpp.

Friends And Related Function Documentation

template<class T>

friend class MarkovBaseTest [friend]

Definition at line 350 of file MarkovBase.hpp.

template<class T>

std::ostream& operator<<	(	std::ostream &	os,
		const MarkovBase< T > &	markov
	)			`[friend]`

Definition at line 57 of file MarkovBase.hpp.

Member Data Documentation

template<class T>

std::vector<int> wns::markovchain::MarkovBase< T >::actualStates [protected]

Definition at line 324 of file MarkovBase.hpp.

template<class T>

wns::logger::Logger wns::markovchain::MarkovBase< T >::logger [protected]

Definition at line 347 of file MarkovBase.hpp.

template<class T>

std::vector<int> wns::markovchain::MarkovBase< T >::nextStates [protected]

Definition at line 330 of file MarkovBase.hpp.

template<class T>

std::vector<double> wns::markovchain::MarkovBase< T >::nextTransitionTime [protected]

Definition at line 336 of file MarkovBase.hpp.

template<class T>

int wns::markovchain::MarkovBase< T >::numberOfChains [protected]

Definition at line 302 of file MarkovBase.hpp.

template<class T>

int wns::markovchain::MarkovBase< T >::numberOfStates [protected]

Definition at line 297 of file MarkovBase.hpp.

template<class T>

std::vector<int> wns::markovchain::MarkovBase< T >::startStates [protected]

Definition at line 318 of file MarkovBase.hpp.

template<class T>

std::vector<double> wns::markovchain::MarkovBase< T >::stateProbabilities [protected]

Definition at line 342 of file MarkovBase.hpp.

template<class T>

TransitionMatrixType wns::markovchain::MarkovBase< T >::transitionsMatrix [protected]

Definition at line 312 of file MarkovBase.hpp.

template<class T>

std::vector<T> wns::markovchain::MarkovBase< T >::vectorOfStates [protected]

Definition at line 307 of file MarkovBase.hpp.

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

framework/library/src/markovchain/MarkovBase.hpp


Public Member Functions
int	getActualStateIndex (int actualchain) const
	get the actual state index for a certain chain
const T *	getStateContent (int index) const
	returns a state from the vector of states
const std::vector< double > &	getStateProbabilities () const
double	getStateProbability (int stateIndex) const
	get the state probability for a state
const std::vector< T > &	getStates () const
	get Vector of States
double	getTransitionMatrixElement (int row, int col) const
	get Transitions/probabilities Matrix elements
	MarkovBase (int nos, int noc, std::vector< T > states, TransitionMatrixType matrix, std::vector< int > sStates)
	Creates a Complete MarkovBase.
	MarkovBase (int _numberOfChains)
	Creates an empty MarkovBase. numberOfChains is needed.
int	readNumberOfStates (std::istream &in)
	Reads the number of states from a stream.
void	readTransitionsFromFile (std::istream &in)
	Reads the matrix of transitions/probabilities between the states from a stream.
void	setNumberOfStates (int _numberOfStates)
	setNumberOfStates. The allocation of vectors and matrices is done afterwards
void	setStartStates (std::vector< int > states)
	set Start States
void	setTransitionMatrix (const TransitionMatrixType &matrix)
	set Transitions/probabilities Matrix
void	setTransitionMatrixElement (int row, int col, double value)
	set Transitions/probabilities Matrix elements
virtual	~MarkovBase ()
	MarkovBase destructor.
Protected Member Functions
virtual void	calculateStateProbabilities ()
	determine the probability of each state. this cannot be done here, as it depends on the transition matrix type (continuous or discrete)
Protected Attributes
std::vector< int >	actualStates
	Internal representation of actual states: vector of actual states: one for each chain.
wns::logger::Logger	logger
	logger
std::vector< int >	nextStates
	Internal representation of next state: vector of next states, one for each chain.
std::vector< double >	nextTransitionTime
	Internal representation of next state transition time: vector of next states transition time, one for each chain.
int	numberOfChains
	Internal representation of the number of chains.
int	numberOfStates
	Internal representation of the number of states.
std::vector< int >	startStates
	Internal representation of start states: vector of start states, one for each chain.
std::vector< double >	stateProbabilities
	probability of each state. Calculated in calculateStateProbabilities (different for continuous and discrete)
TransitionMatrixType	transitionsMatrix
	Internal representation of the matrix of transitions/probabilities.
std::vector< T >	vectorOfStates
	representation of vector of states
Private Member Functions
void	prepareTransitionMatrixAndVectorOfStates ()
	prepare transitions/probabilities Matrix and the vector of states. It is called when the numberOfStates is known.
Friends
class	MarkovBaseTest
std::ostream &	operator<< (std::ostream &os, const MarkovBase &markov)

wns::markovchain::MarkovBase< T > Class Template Reference

Public Member Functions

Protected Member Functions

Protected Attributes

Private Member Functions

Friends

Detailed Description

template<class T> class wns::markovchain::MarkovBase< T >

Constructor & Destructor Documentation

Member Function Documentation

Friends And Related Function Documentation

Member Data Documentation

template<class T>
class wns::markovchain::MarkovBase< T >