Package solvers.queueingnet

package solvers.queueingnet

Queueing network model of JMVA: stations, classes, service demands and visits used by the exact and approximate solution algorithms.

Related Packages

Package	Description
solvers	Solution algorithms of JMVA.
solvers.queueingnet.amva	Approximate MVA (AMVA) algorithms of JMVA for closed networks: Chow, Bard-Schweitzer, Linearizer, DeSouza-Muntz Linearizer and AQL (Aggregate Queue Length), as described in the JMVA chapter of the user manual.
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.treeAlgorithms	Tree based exact algorithms of JMVA: TreeMVA and TreeConvolution, which reduce the complexity of the exact solution of large closed models.

Class	Description
CoMoMBTFSolver	A concrete implementation of the CoMoMSolver class that choose to use the BTF Linear System.
CoMoMSimpleSolver	A concrete implementation of the CoMoMSolver class that choose to use the Simple Linear System.
CoMoMSolver	This class provides the high-level implementation of the CoMoM algorithm, it is programmed to the interface provided by the LinearSystem class.
ConvolutionSolver	This class implements the ConvolutionSolver object, which computes the normalising constant for a network using the Convolution algorithm.
MoMSolver	This class implements the MoMSolver object, which computes the normalising constant for a network using the MoM algorithm.
MonteCarloSolver	Monte Carlo solution algorithm of JMVA, used by the exact solvers to reduce the complexity of large models.
QNSolver	Class which defines several methods every QNSolver object must support.
QNSolverInterface	Interface which every solver must implement, as it defines a common way of performing the same operations, such as initialisation, evaluation and returning the results.
RECALNonRecursiveSolver	This class implements the RECALSolver object, which computes the normalising constant for a network using the RECAL algorithm.
RECALSolver	This class implements the RECALSolver object, which computes the normalising constant for a network using the RECAL algorithm.
RecursiveSolver	This class implements the RecursiveSolver object, which contains common methods for the Convolution and RECAL algorithms.
RGFSolver	Recursive Gaussian Filter (RGF) solution algorithm of JMVA.