Uses of Class
solvers.dataStructures.MultiplicitiesVector

Packages that use MultiplicitiesVector

Package	Description
solvers.basis	Basis representations of the MoM and CoMoM exact solution algorithms of JMVA.
solvers.dataStructures	Data structures shared by the JMVA solvers (tuples, positions, lists and matrices).
solvers.queueingnet	Queueing network model of JMVA: stations, classes, service demands and visits used by the exact and approximate solution algorithms.
solvers.utilities	Utilities of the JMVA solvers, such as the processing capacity checker used to verify that the workload can be processed by the network.

Uses of MultiplicitiesVector in solvers.basis

Methods in solvers.basis with parameters of type MultiplicitiesVector

Modifier and Type	Method	Description
int	CoMoMBasis.indexOf(PopulationChangeVector n, MultiplicitiesVector m)	Finds the index of Normalising Constant G(N-n, m) as determined by n and m

Uses of MultiplicitiesVector in solvers.dataStructures

Fields in solvers.dataStructures declared as MultiplicitiesVector

Modifier and Type	Field	Description
MultiplicitiesVector	QNModel.multiplicities	Contains the multiplicities for each queue

Methods in solvers.dataStructures that return MultiplicitiesVector

Modifier and Type	Method	Description
MultiplicitiesVector	MultiplicitiesVector.addVec(EnhancedVector b)
MultiplicitiesVector	MultiplicitiesVector.copy()	This method returns a copy of the current MultiplicitiesVector object.
MultiplicitiesVector	QNModel.getMultiplicitiesVector()	This method returns a copy of the current MultiplicitiesVector with the values contained in this QNModel object (quening network model).

Uses of MultiplicitiesVector in solvers.queueingnet

Fields in solvers.queueingnet with type parameters of type MultiplicitiesVector

Modifier and Type	Field	Description
protected Map<PopulationVector, Map<MultiplicitiesVector, BigRational>>	RecursiveSolver.Gmap	Here is stored every normalising constant computed.

Methods in solvers.queueingnet with parameters of type MultiplicitiesVector

Modifier and Type	Method	Description
BigRational	ConvolutionSolver.compute(MultiplicitiesVector m, PopulationVector p)	Computes any normalising constant using a simple recursion and taking advantage of any already computed and stored value.
protected BigRational	RECALNonRecursiveSolver.compute(MultiplicitiesVector finalm, PopulationVector finalp)	Computes any normalising constant non-recursively and by taking advantage of any already computed and stored value.
protected BigRational	RECALSolver.compute(MultiplicitiesVector m, PopulationVector p)	Computes any normalising constant using a simple recursion and taking advantage of any already computed and stored value.
protected BigRational	RecursiveSolver.compute(MultiplicitiesVector m, PopulationVector p)	Computes any normalising constant using a simple recursion and taking advantage of any already computed and stored value.
protected BigRational	RGFSolver.compute(MultiplicitiesVector m, PopulationVector p, int q, BigRational[][] load)
protected BigRational	RecursiveSolver.findG(MultiplicitiesVector m, PopulationVector p)	Searches for a normalising constant in the memory.
protected BigRational	RecursiveSolver.recallG(MultiplicitiesVector m, PopulationVector p)	Searches for a normalising constant in the memory.
protected void	RecursiveSolver.storeG(MultiplicitiesVector m, PopulationVector p, BigRational Gval)	Stores a computed normalising constant value for future re-use.
protected void	RecursiveSolver.storeG(MultiplicitiesVector m, PopulationVector p, BigRational Gval, Map<PopulationVector, Map<MultiplicitiesVector, BigRational>> map)	Stores at a particular Map<PopulationVector, Map<MultiplicitiesVector, BigRational>> data structure a computed normalising constant value for future re-use.

Method parameters in solvers.queueingnet with type arguments of type MultiplicitiesVector

Modifier and Type	Method	Description
protected void	RecursiveSolver.storeG(MultiplicitiesVector m, PopulationVector p, BigRational Gval, Map<PopulationVector, Map<MultiplicitiesVector, BigRational>> map)	Stores at a particular Map<PopulationVector, Map<MultiplicitiesVector, BigRational>> data structure a computed normalising constant value for future re-use.

Uses of MultiplicitiesVector in solvers.utilities

Methods in solvers.utilities that return MultiplicitiesVector

Modifier and Type	Method	Description
MultiplicitiesVector	CanonicalMultiplicitiesVectorCalculator.inttovec(int index)	Returns the index'th vector of the canonical ordering.

Methods in solvers.utilities that return types with arguments of type MultiplicitiesVector

Modifier and Type	Method	Description
List<MultiplicitiesVector>	CanonicalMultiplicitiesVectorCalculator.findMulVectorsSummingExactlyTo(int level)	This returns an ordered set containing the MultiplicitiesVectors the elements of which have sum equal to a specific number (level).
List<MultiplicitiesVector>	CanonicalMultiplicitiesVectorCalculator.findMulVectorsSummingUpTo(int level)	This returns an ordered set containing the MultiplicitiesVectors the elements of which have sum less than or equal to a specific number (level).

Methods in solvers.utilities with parameters of type MultiplicitiesVector

Modifier and Type	Method	Description
int	CanonicalMultiplicitiesVectorCalculator.vectoint(MultiplicitiesVector v)	Returns the index of a vector in the canonical ordering.