Uses of Package
solvers.dataStructures

Packages that use solvers.dataStructures

Package	Description
solvers	Solution algorithms of JMVA.
solvers.basis	Basis representations of the MoM and CoMoM exact solution algorithms of JMVA.
solvers.basis.comparators	Comparators used to order the basis vectors of the MoM and CoMoM algorithms.
solvers.control	Control logic of the JMVA solvers.
solvers.dataStructures	Data structures shared by the JMVA solvers (tuples, positions, lists and matrices).
solvers.linearSystem	Linear system formulation shared by the MoM and CoMoM exact algorithms of JMVA.
solvers.linearSystem.btf	Block Triangular Form (BTF) of the linear systems arising in the MoM and CoMoM algorithms, as described in the method of moments literature.
solvers.linearSystem.btf.macroBlocks	Macro blocks of the Block Triangular Form linear system decomposition used by the JMVA MoM and CoMoM solvers.
solvers.linearSystem.btf.microBlocks	Micro blocks of the Block Triangular Form linear system decomposition used by the JMVA MoM and CoMoM solvers.
solvers.linearSystem.btf.topLevelBlocks	Top level blocks of the Block Triangular Form linear system decomposition used by the JMVA MoM and CoMoM solvers.
solvers.linearSystem.simple	Simple linear system solvers used by JMVA.
solvers.linearSystem.simple.matrix	Matrix implementation of the simple linear system solvers used by JMVA.
solvers.linearSystemSolver	Linear system solver used by the exact JMVA solution algorithms.
solvers.multiSolverAlgorithms	Multiclass solution algorithms of JMVA: exact MVA, RECAL, MoM, CoMoM, TreeMVA and TreeConvolution for closed multiclass models, together with their approximate variants.
solvers.queueingnet	Queueing network model of JMVA: stations, classes, service demands and visits used by the exact and approximate solution algorithms.
solvers.queueingnet.montecarloLogistic	Monte Carlo logistic regression used by the exact JMVA algorithms when the model dimension grows (logistic approximation of normalizing constants).
solvers.queueingnet.montecarloLogistic.solver	Monte Carlo logistic solvers of JMVA.
solvers.queueingnet.treeAlgorithms	Tree based exact algorithms of JMVA: TreeMVA and TreeConvolution, which reduce the complexity of the exact solution of large closed models.
solvers.queueingnet.treeAlgorithms.tmva	TreeMVA algorithm of JMVA, the tree based version of the exact Mean Value Analysis.
solvers.queueingnet.treeAlgorithms.treeConvolution	TreeConvolution algorithm of JMVA, the tree based version of the convolution algorithm.
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.

Classes in solvers.dataStructures used by solvers

Class	Description
QNModel	This class contains an implementation of the input file reader and parser, as well as a storage data structure for the model and performance evaluation values.

Classes in solvers.dataStructures used by solvers.basis

Class	Description
BigRational	This class is a representation of rational numbers.
EnhancedVector	This class extends the ArrayList<Integer> object class by adding several useful methods for operations encountered when dealing with the algorithms that compute the normalising constants.
MultiplicitiesVector	This class implements the MultiplicitiesVector object, which is used to store a multiplicities vector.
PopulationChangeVector	This class implements the PopulationChangeVector object, which are used in in the definition of the CoMoM basis.
QNModel	This class contains an implementation of the input file reader and parser, as well as a storage data structure for the model and performance evaluation values.

Classes in solvers.dataStructures used by solvers.basis.comparators

Class	Description
EnhancedVector	This class extends the ArrayList<Integer> object class by adding several useful methods for operations encountered when dealing with the algorithms that compute the normalising constants.

Classes in solvers.dataStructures used by solvers.control

Class	Description
BigRational	This class is a representation of rational numbers.
QNModel	This class contains an implementation of the input file reader and parser, as well as a storage data structure for the model and performance evaluation values.

Classes in solvers.dataStructures used by solvers.dataStructures

Class	Description
BigRational	This class is a representation of rational numbers.
EnhancedVector	This class extends the ArrayList<Integer> object class by adding several useful methods for operations encountered when dealing with the algorithms that compute the normalising constants.
MultiplicitiesVector	This class implements the MultiplicitiesVector object, which is used to store a multiplicities vector.
PopulationChangeVector	This class implements the PopulationChangeVector object, which are used in in the definition of the CoMoM basis.
PopulationVector	This class implements the PopulationVector object, which is used to store a populations vector.
QNModel	This class contains an implementation of the input file reader and parser, as well as a storage data structure for the model and performance evaluation values.
QNModel.QueueType	The possible queue types.

Classes in solvers.dataStructures used by solvers.linearSystem

Class	Description
PopulationVector	This class implements the PopulationVector object, which is used to store a populations vector.
QNModel	This class contains an implementation of the input file reader and parser, as well as a storage data structure for the model and performance evaluation values.

Classes in solvers.dataStructures used by solvers.linearSystem.btf

Class	Description
BigRational	This class is a representation of rational numbers.
PopulationChangeVector	This class implements the PopulationChangeVector object, which are used in in the definition of the CoMoM basis.
PopulationVector	This class implements the PopulationVector object, which is used to store a populations vector.
QNModel	This class contains an implementation of the input file reader and parser, as well as a storage data structure for the model and performance evaluation values.

Classes in solvers.dataStructures used by solvers.linearSystem.btf.macroBlocks

Class	Description
BigRational	This class is a representation of rational numbers.
PopulationChangeVector	This class implements the PopulationChangeVector object, which are used in in the definition of the CoMoM basis.
QNModel	This class contains an implementation of the input file reader and parser, as well as a storage data structure for the model and performance evaluation values.

Classes in solvers.dataStructures used by solvers.linearSystem.btf.microBlocks

Class	Description
BigRational	This class is a representation of rational numbers.
PopulationChangeVector	This class implements the PopulationChangeVector object, which are used in in the definition of the CoMoM basis.
QNModel	This class contains an implementation of the input file reader and parser, as well as a storage data structure for the model and performance evaluation values.

Classes in solvers.dataStructures used by solvers.linearSystem.btf.topLevelBlocks

Class	Description
BigRational	This class is a representation of rational numbers.
PopulationChangeVector	This class implements the PopulationChangeVector object, which are used in in the definition of the CoMoM basis.
QNModel	This class contains an implementation of the input file reader and parser, as well as a storage data structure for the model and performance evaluation values.

Classes in solvers.dataStructures used by solvers.linearSystem.simple

Class	Description
BigRational	This class is a representation of rational numbers.
PopulationVector	This class implements the PopulationVector object, which is used to store a populations vector.
QNModel	This class contains an implementation of the input file reader and parser, as well as a storage data structure for the model and performance evaluation values.

Classes in solvers.dataStructures used by solvers.linearSystem.simple.matrix

Class	Description
BigRational	This class is a representation of rational numbers.
Tuple	The Tuple class provides objects which function just like a 2-tuple.

Classes in solvers.dataStructures used by solvers.linearSystemSolver

Class	Description
BigRational	This class is a representation of rational numbers.
Tuple	The Tuple class provides objects which function just like a 2-tuple.

Classes in solvers.dataStructures used by solvers.multiSolverAlgorithms

Class	Description
QNModel	This class contains an implementation of the input file reader and parser, as well as a storage data structure for the model and performance evaluation values.

Classes in solvers.dataStructures used by solvers.queueingnet

Class	Description
BigRational	This class is a representation of rational numbers.
MultiplicitiesVector	This class implements the MultiplicitiesVector object, which is used to store a multiplicities vector.
PopulationVector	This class implements the PopulationVector object, which is used to store a populations vector.
QNModel	This class contains an implementation of the input file reader and parser, as well as a storage data structure for the model and performance evaluation values.

Classes in solvers.dataStructures used by solvers.queueingnet.montecarloLogistic

Class	Description
QNModel	This class contains an implementation of the input file reader and parser, as well as a storage data structure for the model and performance evaluation values.

Classes in solvers.dataStructures used by solvers.queueingnet.montecarloLogistic.solver

Class	Description
QNModel	This class contains an implementation of the input file reader and parser, as well as a storage data structure for the model and performance evaluation values.

Classes in solvers.dataStructures used by solvers.queueingnet.treeAlgorithms

Class	Description
PopulationVector	This class implements the PopulationVector object, which is used to store a populations vector.
QNModel	This class contains an implementation of the input file reader and parser, as well as a storage data structure for the model and performance evaluation values.

Classes in solvers.dataStructures used by solvers.queueingnet.treeAlgorithms.tmva

Class	Description
PopulationVector	This class implements the PopulationVector object, which is used to store a populations vector.
QNModel	This class contains an implementation of the input file reader and parser, as well as a storage data structure for the model and performance evaluation values.

Classes in solvers.dataStructures used by solvers.queueingnet.treeAlgorithms.treeConvolution

Class	Description
BigRational	This class is a representation of rational numbers.
PopulationVector	This class implements the PopulationVector object, which is used to store a populations vector.
QNModel	This class contains an implementation of the input file reader and parser, as well as a storage data structure for the model and performance evaluation values.

Classes in solvers.dataStructures used by solvers.utilities

Class	Description
BigRational	This class is a representation of rational numbers.
MultiplicitiesVector	This class implements the MultiplicitiesVector object, which is used to store a multiplicities vector.
QNModel	This class contains an implementation of the input file reader and parser, as well as a storage data structure for the model and performance evaluation values.