Uses of Package
jline.solvers
Package
Description
Procedural algorithms for solving stochastic models
Abstractions to declare basic elements of a model.
Classes that model the state of a network and its individual nodes
Solver superclasses and related data structures.
Solution approaches based on Continuous-Time Markov Chain solution
Solution approaches for stochastic models in random environments.
Solution approaches based on mean-field and fluid approximations.
Classes that embody different fluid ODE analysis algorithms
Classes that generate the ordinary differential equations (ODEs) used in the Fluid solver
Wrapper for the Java Modelling Tools (JMT) suite solvers
LINE's native Layered Network (LN) solver
Wrapper for University of Carleton RADS group's Layered Queueing Network Solver (LQNS)
Analysis approaches based on matrix-analytic methods
Analysis approaches based on Mean-Value Analysis (MVA)
Classes that embody different mean-value analysis methods
Classes for coordinate the execution and performance metric estimation in MVA-based algorithms
Analysis approaches based on Normalizing Costant (NC) methods
Classes that embody different normalizing constant analysis methods
Analysis approaches based on the Stochastic Simulation Algorithm (SSA) for Markov chains
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