Package solvers.queueingnet.montecarloLogistic

package solvers.queueingnet.montecarloLogistic

Monte Carlo logistic regression used by the exact JMVA algorithms when the model dimension grows (logistic approximation of normalizing constants).

Related Packages

Package	Description
solvers.queueingnet	Queueing network model of JMVA: stations, classes, service demands and visits used by the exact and approximate solution algorithms.
solvers.queueingnet.montecarloLogistic.distributions	Probability distributions used by the JMVA Monte Carlo logistic regression.
solvers.queueingnet.montecarloLogistic.numericalIntegration	Numerical integration used by the JMVA Monte Carlo logistic regression.
solvers.queueingnet.montecarloLogistic.solver	Monte Carlo logistic solvers 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.treeAlgorithms	Tree based exact algorithms of JMVA: TreeMVA and TreeConvolution, which reduce the complexity of the exact solution of large closed models.

Classes

Class	Description
Debug	Debug utilities of the JMVA solvers.
Utils	General utilities of the JMVA solvers.