Uses of Class
solvers.queueingnet.amva.SolverMulti

Packages that use SolverMulti

Package	Description
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.

Uses of SolverMulti in solvers.queueingnet.amva

Subclasses of SolverMulti in solvers.queueingnet.amva

Modifier and Type	Class	Description
class	AMVA	This class implements the abstract superclass for approximate MVA algorithms for solving multi-closed models
class	AQL	This class implements the AQL (Aggregate Queue Length) approximate MVA algorithm [ZES88] for solving multiclass closed models, as described in the AMVA section of the JMVA chapter of the JMT user manual.
class	BardSchweitzer	This class implements the Bard-Schweitzer approximate MVA algorithm [Sch79] for solving multiclass closed models.
class	Chow	This class implements the Chow approximate MVA algorithm [Cho83] for solving multiclass closed models.
class	Linearizer	This class implements the Linearizer [CN82] and De Souza-Muntz Linearizer [dSeSM90] approximate MVA algorithms for solving multiclass closed models, as described in the AMVA section of the JMVA chapter of the JMT user manual.