Uses of Package
jline.lang.processes

Packages that use jline.lang.processes

Package	Description
jline.api.infer
jline.api.mc	Markov Chain analysis algorithms.
jline.api.qsys	Queueing system analysis algorithms.
jline.api.wfn	Workflow Net (WF-net) analysis for LINE.
jline.examples.java.basic	Basic queueing network examples demonstrating fundamental concepts.
jline.examples.java.models	Pre-built queueing network model templates and generators.
jline.lang	Abstractions to declare basic elements of a model.
jline.lang.constant	This package contains constants used in the definition of queueing characteristics
jline.lang.layered	This package contains the classes used the specify LayeredNetwork objects
jline.lang.nodeparam	Node parameter specifications and configuration classes.
jline.lang.nodes	This package contains the classes used the specify Network objects
jline.lang.processes	This package contains processes and statistical distributions used to specify arrival rates, service rates, and item popularities
jline.lang.sections	Classes that model the individual sections that form a Network node
jline.lang.state	Classes that model the state of a network and its individual nodes
jline.lang.workflow
jline.lib.butools	Port of BuTools library for phase-type distributions and MAP processes.
jline.lib.kpctoolbox	Port of the KPC-Toolbox library for Markovian process fitting and manipulation.
jline.solvers.ag.handlers
jline.solvers.auto	Automatic solver selection and configuration for queueing networks.
jline.solvers.ctmc	This package provides an implementation of SolverCTMC.
jline.solvers.fluid.handlers	Handlers for SolverFluid.
jline.solvers.ldes.handlers
jline.solvers.ln	This package provides an implementation of SolverLN.
jline.solvers.uq
jline.util	Fundamental data structures and utilities

Classes in jline.lang.processes used by jline.api.infer

Class	Description
Distribution	An abstract class of a general distribution

Classes in jline.lang.processes used by jline.api.mc

Class	Description
Distribution	An abstract class of a general distribution

Classes in jline.lang.processes used by jline.api.qsys

Class	Description
Distribution	An abstract class of a general distribution

Classes in jline.lang.processes used by jline.api.wfn

Class	Description
Distribution	An abstract class of a general distribution
PH	A general phase-type (PH) distribution

Classes in jline.lang.processes used by jline.examples.java.basic

Class	Description
MarkedMAP	A Marked Markovian Arrival Process
MMAPt	Time-inhomogeneous MARKED Markovian arrival process (MMAP_t).

Classes in jline.lang.processes used by jline.examples.java.models

Class	Description
MAP	A Markovian Arrival Process

Classes in jline.lang.processes used by jline.lang

Class	Description
DiscreteDistribution	An abstract class for discrete distributions.
Distribution	An abstract class of a general distribution
Markovian	An abstract class for a Markovian distribution

Classes in jline.lang.processes used by jline.lang.constant

Class	Description
Distribution	An abstract class of a general distribution

Classes in jline.lang.processes used by jline.lang.layered

Class	Description
DiscreteDistribution	An abstract class for discrete distributions.
Distribution	An abstract class of a general distribution

Classes in jline.lang.processes used by jline.lang.nodeparam

Class	Description
DiscreteSampler	A class for discrete distributions specified from the probability mass function
Distribution	An abstract class of a general distribution

Classes in jline.lang.processes used by jline.lang.nodes

Class	Description
BMMAPt	BATCH, MARKED, time-inhomogeneous Markovian arrival process (BMMAP_t).
DiscreteDistribution	An abstract class for discrete distributions.
DiscreteSampler	A class for discrete distributions specified from the probability mass function
Distribution	An abstract class of a general distribution
MarkedMAP	A Marked Markovian Arrival Process
MMAPt	Time-inhomogeneous MARKED Markovian arrival process (MMAP_t).
MPHt	Time-inhomogeneous MARKED phase-type distribution (MPH_t).

Classes in jline.lang.processes used by jline.lang.processes

Class	Description
APH	An acyclic phase type distribution
BMAP	A Batch Markovian Arrival Process (BMAP) BMAP is a point process where arrivals occur in batches.
CME	A Concentrated Matrix Exponential (CME) distribution.
ContinuousDistribution	An abstract class for continuous distributions
Cox2	A Coxian distribution with 2 phases.
Coxian	A general Coxian distribution with n phases.
Defective	A defective law: infinite with probability pInf, otherwise distributed as an inner continuous law G, so F(t) = (1-pInf) G(t) tends to 1-pInf < 1.
Det	A Deterministic distribution taking a single constant value.
Disabled	A special distribution to denote disabled service or arrival.
DiscreteDistribution	An abstract class for discrete distributions.
Distribution	An abstract class of a general distribution
DMAP	A Discrete Markovian Arrival Process (DMAP).
Erlang	An Erlang-n distribution with n phases.
Exp	An exponential distribution.
Gamma	A Gamma distribution.
GMM	A Gaussian Mixture Model (GMM) distribution.
HyperExp	A hyper-exponential distribution.
Immediate	An Immediate distribution that always samples 0.
LogLogistic	Log-logistic (Fisk) distribution with scale alpha (the median) and shape beta, F(t) = 1 / (1 + (t/alpha)^(-beta)) for t >= 0.
Lognormal	A Lognormal distribution.
MAP	A Markovian Arrival Process
MAPt	Time-inhomogeneous Markovian arrival process (MAP_t).
MAPt.RateSchedule	Capability type exposed so that model compilation can recognise a schedule-bearing process by capability rather than by class name.
Marked	An abstract class for marked point processes
MarkedMAP	A Marked Markovian Arrival Process
MarkedMarkovProcess	A class for continuous time Markov chain where transitions are labeled
MarkedMMPP	A Marked Markov-Modulated Poisson Process (M3PP)
MarkovChain	A class for a discrete time Markov chain
Markovian	An abstract class for a Markovian distribution
MarkovModulated	An abstract class for a Markov-modulated point-process
MarkovProcess	A class for a continuous time Markov chain
MassAtOrigin	A law with an atom of probability p0 at zero, otherwise distributed as an inner continuous law G: F(t) = p0 + (1-p0) G(t), t >= 0.
ME	A Matrix Exponential (ME) distribution.
ME.NegativeDensityScan	Outcome of the density scan: whether a negative value was found, and where.
MMAP	A Marked Markovian Arrival Process (MMAP) MMAP is a point process where arrivals are categorized into K different types (marks).
MMAPt	Time-inhomogeneous MARKED Markovian arrival process (MMAP_t).
MMDP	A Markov-Modulated Deterministic Process (MMDP) for fluid queue modeling.
MMPP2	A Markovian-modulated Poisson Process with 2 states
MultivariateNormal	A multivariate normal (Gaussian) distribution.
NHPP.RateSchedule	A piecewise-constant rate schedule: the parameterisation shared by every schedule-bearing process.
NNPP	A nonstationary non-Poisson arrival process (NNPP) generated by thinning.
NNPP.Stream	Per-path sampling state: last renewal epoch in muTilde space, whether the next gap is the equilibrium one, and the last accepted arrival time.
Normal	A normal (Gaussian) distribution.
Pareto	A Pareto distribution
PH	A general phase-type (PH) distribution
PHt	Time-inhomogeneous phase-type distribution (Ph_t).
PHt.RateSchedule	Capability type exposed so that model compilation can recognise a schedule-bearing process by capability rather than by class name.
Prior.Design	A prior reduced to weighted alternatives, i.e.
Process	An abstract class for stochastic processes
RAP	A Rational Arrival Process (RAP) distribution.
Replayer	A distribution that replays empirical data values from trace files.
Weibull	A Weibull distribution

Classes in jline.lang.processes used by jline.lang.sections

Class	Description
DiscreteSampler	A class for discrete distributions specified from the probability mass function
Distribution	An abstract class of a general distribution

Classes in jline.lang.processes used by jline.lang.state

Class	Description
Distribution	An abstract class of a general distribution

Classes in jline.lang.processes used by jline.lang.workflow

Class	Description
Distribution	An abstract class of a general distribution
Markovian	An abstract class for a Markovian distribution

Classes in jline.lang.processes used by jline.lib.butools

Class	Description
APH	An acyclic phase type distribution

Classes in jline.lang.processes used by jline.lib.kpctoolbox

Class	Description
MAP	A Markovian Arrival Process

Classes in jline.lang.processes used by jline.solvers.ag.handlers

Class	Description
DiscreteDistribution	An abstract class for discrete distributions.

Classes in jline.lang.processes used by jline.solvers.auto

Class	Description
MarkedMarkovProcess	A class for continuous time Markov chain where transitions are labeled

Classes in jline.lang.processes used by jline.solvers.ctmc

Class	Description
MarkedMarkovProcess	A class for continuous time Markov chain where transitions are labeled
MarkovChain	A class for a discrete time Markov chain
MarkovProcess	A class for a continuous time Markov chain

Classes in jline.lang.processes used by jline.solvers.fluid.handlers

Class	Description
NHPP	A non-homogeneous Poisson process (NHPP) with a piecewise-constant intensity.

Classes in jline.lang.processes used by jline.solvers.ldes.handlers

Class	Description
Distribution	An abstract class of a general distribution

Classes in jline.lang.processes used by jline.solvers.ln

Class	Description
APH	An acyclic phase type distribution
Distribution	An abstract class of a general distribution

Classes in jline.lang.processes used by jline.solvers.uq

Class	Description
Prior	Prior distribution representing parameter uncertainty over alternative distributions.
Prior.Design	A prior reduced to weighted alternatives, i.e.

Classes in jline.lang.processes used by jline.util

Class	Description
GMM	A Gaussian Mixture Model (GMM) distribution.