Uses of Package
jline.io

Packages that use jline.io
Package
Description
jline.api
Procedural algorithms for solving stochastic models
jline.lang
Abstractions to declare basic elements of a model.
jline.lang.state
Classes that model the state of a network and its individual nodes
  • Classes in jline.io used by jline.api
    Class
    Description
    Ret.cacheGammaLp
    Represents the return type for the cache gamma linear program computations.
    Ret.cacheMissRayInt
    Represents the return type for cache miss rate computations with the ray method.
    Ret.cacheMVA
    Represents the return type for the cache MVA (Mean Value Analysis) computations.
    Ret.cacheRayInt
    Represents the return type for cache ray method.
    Ret.cacheXiFp
    Represents the return type for the cache xi fixed-point algorithm computations.
    Ret.ctmcSimulation
     
    Ret.FJApprox
     
    Ret.FJsortForks
     
    Ret.lossnErlangFP
    Constructs a lossnErlangFPReturn object with the specified queue-length, loss probability, blocking probability, and iteration count.
    Ret.mamAPH2Fit
    Class representing the return type for the fitting of a 2-phase APH (Acyclic Phase-Type) distribution.
    Ret.mamMAPFitReturn
    A class to represent the return type of the map2_fit function, holding the transition matrices and possibly other fitting results.
    Ret.mamMMAPMixtureFit
    Class representing the return type for fitting a mixture model to a MMAP.
    Ret.mamMMAPSample
    Constructor initializing the sample data, number of types, and type indices.
    Ret.npfqnNonexpApprox
    Data structure to return the results of non-product-form queueing network approximation.
    Ret.pfqnAMVA
    Data structure for storing results from the AMVA (Approximate Mean Value Analysis) method.
    Ret.pfqnAMVAMS
    Data structure for storing results from the AMVA MS (Approximate Mean Value Analysis Multiservice) method.
    Ret.pfqnComomrm
    Data structure for storing results the COMOM method.
    Ret.pfqnComomrmLd
    Data structure for storing results from the load-dependent COMOM method.
    Ret.pfqnCore
    Data structure for storing linearizer core results from a queueing network analysis.
    Ret.pfqnEstimate
    Data structure for storing linearizer estimtate results from a queueing network analysis.
    Ret.pfqnFnc
    Data structure for storing results from a FNC (Fitting Normalizing Constants) calculation.
    Ret.pfqnForwardMVA
    Data structure for storing linearizer forward results from a queueing network analysis.
    Ret.pfqnLeFpi
    Data structure for storing results from a fixed-point iteration method.
    Ret.pfqnLeFpiZ
    Data structure for storing results from a fixed-point iteration method with normalization.
    Ret.pfqnLinearizerCore
    Data structure for storing results from the core linearizer method.
    Ret.pfqnLinearizerEstimate
    Data structure for storing intermediate estimates from the linearizer method.
    Ret.pfqnLinearizerForwardMVA
    Data structure for storing final results from the forward MVA step in the linearizer method.
    Ret.pfqnLinearizerMSCore
    Data structure for storing core results from the MS linearizer method.
    Ret.pfqnLinearizerMSEstimate
    Data structure for storing estimated intermediate results from the MS linearizer method.
    Ret.pfqnLinearizerMSForwardMVA
    Data structure for storing final results from the forward MVA step of the MS linearizer method.
    Ret.pfqnMVA
    Data structure to hold the results of the MVA (Mean Value Analysis) computation.
    Ret.pfqnMVALD
    Data structure for storing results from an MVA computation using the LD method.
    Ret.pfqnMVALDMX
    Data structure to hold the results of the MVA computation with additional detailed metrics.
    Ret.pfqnMVALDMXEC
    Data structure to hold extended results from the MVA computation, particularly focusing on error corrections.
    Ret.pfqnNc
    Data structure for storing results from a normalizing constant calculation.
    Ret.pfqnNcComplex
    Data structure for storing complex results from a normalizing constant calculation.
    Ret.pfqnNcSanitize
    Data structure for storing sanitized input parameters for a normalizing constant calculation.
    Ret.pfqnNcXQ
    Data structure for storing results from a normalizing constant calculation involving throughputs and queue lengths.
    Ret.pfqnRd
    Data structure for storing results from the RD method.
    Ret.qsys
    A class to store the results of queueing system analysis.
    Ret.snDeaggregateChainResults
    A return type for the snDeaggregateChainResults method, encapsulating multiple chain-related matrix results.
    Ret.snGetDemandsChain
    A return type for the snGetDemandsChain method, encapsulating multiple chain-related matrix results.
    Ret.snGetProductFormChainParams
    A return type for methods returning product form chain parameters.
    Ret.snGetProductFormParams
    A return type for methods returning product form parameters.
  • Classes in jline.io used by jline.lang
    Class
    Description
    Ret.snGetDemands
    A return type for the snGetDemands method, encapsulating multiple matrix results.
    Ret.snGetProductFormChainParams
    A return type for methods returning product form chain parameters.
    Ret.snGetProductFormParams
    A return type for methods returning product form parameters.
  • Classes in jline.io used by jline.lang.state
    Class
    Description
    Ret.EventResult
    A class modelling the output of afterEvent* functions