Package solvers.multiSolverAlgorithms

package solvers.multiSolverAlgorithms

Multiclass solution algorithms of JMVA: exact MVA, RECAL, MoM, CoMoM, TreeMVA and TreeConvolution for closed multiclass models, together with their approximate variants.

Related Packages

Package	Description
solvers	Solution algorithms of JMVA.

Classes

Class	Description
SolverMultiClosedAQL	This class implements the AQL (Aggregated Queue Length) algorithm for solving multi-closed models
SolverMultiClosedBardSchweitzer	This class implements the Bard-Schweitzer algorithm for solving multi-closed models
SolverMultiClosedChow	This class implements the AQL (Aggregated Queue Length) algorithm for solving multi-closed models
SolverMultiClosedLinearizer	This class implements the Linearizer and De Souza-Muntz Linearizer algorithms for solving multi-closed models
SolverMultiClosedMonteCarlo	Solves a multiclass closed model with the Monte Carlo algorithm, an exact technique that estimates the normalizing constants of large models by sampling, as described in the JMVA chapter of the JMT user manual.
SolverMultiClosedMonteCarloLogistic	Solves a multiclass closed model, using Monte Carlo Logistic algorithm.
SolverMultiClosedMVA	Solves a multiclass closed model with the exact MVA (Mean Value Analysis) algorithm [RL80].
SolverMultiClosedRGF	Solves a multiclass closed model with the RGF (Recursive Gaussian Filter) algorithm, an exact solution technique available in JMVA for closed product form queueing networks.
SolverMultiClosedTreeConvolution	Solves a multiclass closed model with the exact TreeConvolution algorithm, the tree based version of the convolution algorithm, which reduces the time and space requirements of the exact solution for models with large dimensions.
SolverMultiClosedTreeMVA	Solves a multiclass closed model with the exact TreeMVA algorithm [TS85], the tree based version of the Mean Value Analysis, which reduces the time and space requirements of the exact solution for models with large dimensions.
SolverMultiMixed	Solves a multiclass mixed model, with both open and closed customer classes, combining the open model algorithms and the exact MVA algorithm as described in the JMVA chapter of the JMT user manual.
SolverMultiMixedPrioMVA	Priority MVA solution algorithm of JMVA for mixed models with priority classes.
SolverMultiMixedRWA	Reduced Work Rate Approximation
SolverMultiOpen	Solves a multiclass open model with the classical queueing network algorithms, as described in the JMVA chapter of the JMT user manual (load dependent stations are not allowed in open models).