jphase
Class SparseDiscPhaseVar

java.lang.Object
  jphase.AbstractDiscPhaseVar
      jphase.SparseDiscPhaseVar

All Implemented Interfaces:

JMarkovElement, DiscPhaseVar, PhaseVar

public class SparseDiscPhaseVar
extends AbstractDiscPhaseVar

Version:

0.1 This class allows the creation and manipulation of Discrete Phase-type distributions represented by sparse (Flexible Compressed Row) matrices.

Author:

German Ria�o, Juan Fernando Perez

Field Summary

protected no.uib.cipr.matrix.sparse.FlexCompRowMatrix	A Transition Matrix in Sparse representation (FlexCompRowMatrix)
protected no.uib.cipr.matrix.sparse.SparseVector	alpha Initial Probability distribution vector

Constructor Summary

SparseDiscPhaseVar(double[] alpha, double[][] A)
Construcs a discrete Phase-type Distribution with sparse representation (FlexCompRowMatrix)

SparseDiscPhaseVar(int n)
Construcs an empty Discrete Phase-type Distribution of size n with sparse representation (FlexCompRowMatrix)

SparseDiscPhaseVar(no.uib.cipr.matrix.sparse.SparseVector alpha, no.uib.cipr.matrix.sparse.FlexCompRowMatrix A)
Construcs a discrete Phase-type Distribution with sparse representation (FlexCompRowMatrix)

SparseDiscPhaseVar(no.uib.cipr.matrix.Vector alpha, no.uib.cipr.matrix.Matrix A)
Construcs a discrete Phase-type Distribution with sparse representation (FlexCompRowMatrix)

Method Summary

DiscPhaseVar	copy() Creates a deep copy of the original Phase-Type Variable
no.uib.cipr.matrix.Matrix	getMatrix() Returns the transition matrix of the Phase-Type Distribution
no.uib.cipr.matrix.Vector	getVector() Returns the initial probability mass vector
DiscPhaseVar	newVar(int n) Creates a new variable of the same class of the original Discrete Phase-Type Variable
void	setMatrix(no.uib.cipr.matrix.Matrix A) Rate Matrix = A
void	setVector(no.uib.cipr.matrix.Vector alpha) Initial Probability vector = alpha

Methods inherited from class jphase.AbstractDiscPhaseVar

cdf, cdf, CV, description, expectedValue, getMat0, getMat0Array, getMatrixArray, getNumPhases, getVec0, getVectorArray, label, lossFunction1, lossFunction2, max, max, median, min, min, mix, mix, moment, pmf, pmf, prob, quantil, stdDeviation, sum, sum, sumGeom, sumPH, sumPH, survival, survival, toString, variance

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface jmarkov.basic.JMarkovElement

equals

Field Detail

A

protected no.uib.cipr.matrix.sparse.FlexCompRowMatrix A

Transition Matrix in Sparse representation (FlexCompRowMatrix)

alpha

protected no.uib.cipr.matrix.sparse.SparseVector alpha

Initial Probability distribution vector

Constructor Detail

SparseDiscPhaseVar

public SparseDiscPhaseVar(int n)

Construcs an empty Discrete Phase-type Distribution of size n with sparse representation (FlexCompRowMatrix)

Parameters:

n - size of the Discrete Phase-type Distribution

SparseDiscPhaseVar

public SparseDiscPhaseVar(no.uib.cipr.matrix.sparse.SparseVector alpha,
                          no.uib.cipr.matrix.sparse.FlexCompRowMatrix A)

Construcs a discrete Phase-type Distribution with sparse representation (FlexCompRowMatrix)

Parameters:

A - transition probability matrix

alpha - initial probability distribution vector

SparseDiscPhaseVar

public SparseDiscPhaseVar(no.uib.cipr.matrix.Vector alpha,
                          no.uib.cipr.matrix.Matrix A)

Construcs a discrete Phase-type Distribution with sparse representation (FlexCompRowMatrix)

Parameters:

A - transition probability matrix

alpha - initial probability distribution vector

SparseDiscPhaseVar

public SparseDiscPhaseVar(double[] alpha,
                          double[][] A)

Construcs a discrete Phase-type Distribution with sparse representation (FlexCompRowMatrix)

Parameters:

A - transtion probability matrix

alpha - initial probability distribution vector

Method Detail

getMatrix

public no.uib.cipr.matrix.Matrix getMatrix()

Description copied from interface: PhaseVar

Returns the transition matrix of the Phase-Type Distribution

Returns:

Transition matrix for transient states of the Phase-Type Distribution

See Also:

PhaseVar.getMatrix()

setMatrix

public void setMatrix(no.uib.cipr.matrix.Matrix A)

Description copied from interface: PhaseVar

Rate Matrix = A

Parameters:

A - Transition matrix for transient states of the Phase-Type Distribution

See Also:

PhaseVar.setMatrix(no.uib.cipr.matrix.Matrix)

getVector

public no.uib.cipr.matrix.Vector getVector()

Description copied from interface: PhaseVar

Returns the initial probability mass vector

Returns:

Initial probability mass vector

See Also:

PhaseVar.getVector()

setVector

public void setVector(no.uib.cipr.matrix.Vector alpha)

Description copied from interface: PhaseVar

Initial Probability vector = alpha

Parameters:

alpha - Initial probability mass vector

See Also:

PhaseVar.setVector(no.uib.cipr.matrix.Vector)

copy

public DiscPhaseVar copy()

Description copied from interface: DiscPhaseVar

Creates a deep copy of the original Phase-Type Variable

Returns:

A deep copy of the original Phase-Type Variable

See Also:

ContPhaseVar.copy()

newVar

public DiscPhaseVar newVar(int n)

Description copied from interface: DiscPhaseVar

Creates a new variable of the same class of the original Discrete Phase-Type Variable

Parameters:

n - number of Phases of the new Variable

Returns:

A new variable of the same class of the original Discrete Phase-Type Variable