Package jline.io


package jline.io
Input/output from the command line or XML files.
  • Classes
    Class
    Description
    Command line interface for JAR-based execution
    Client for Docker-based execution
    Functions to print on screen
    Methods for model-to-model transformation
    Return classes
    Represents the return type for the cache gamma linear program computations.
    Represents the return type for cache miss rate computations with the ray method.
    Represents the return type for the cache MVA (Mean Value Analysis) computations.
    Represents the return type for cache ray method.
    Represents the return type for the cache xi fixed-point algorithm computations.
     
    A class modelling the output of afterEvent* functions
     
     
     
    Constructs a lossnErlangFPReturn object with the specified queue-length, loss probability, blocking probability, and iteration count.
    Class representing the return type for the fitting of a 2-phase APH (Acyclic Phase-Type) distribution.
    A class to represent the return type of the map2_fit function, holding the transition matrices and possibly other fitting results.
    Class representing the return type for fitting a mixture model to a MMAP.
    Constructor initializing the sample data, number of types, and type indices.
    Data structure to return the results of non-product-form queueing network approximation.
    Data structure for storing results from the AMVA (Approximate Mean Value Analysis) method.
    Data structure for storing results from the AMVA MS (Approximate Mean Value Analysis Multiservice) method.
    Data structure for storing results the COMOM method.
    Data structure for storing results from the load-dependent COMOM method.
    Data structure for storing linearizer core results from a queueing network analysis.
    Function class for the integrand used in cubature calculations.
    Data structure for storing linearizer estimtate results from a queueing network analysis.
    Data structure for storing results from a FNC (Fitting Normalizing Constants) calculation.
    Data structure for storing linearizer forward results from a queueing network analysis.
    Auxiliary class used to index interim results in pfqn_gld.
    Data structure for storing results from a fixed-point iteration method.
    Data structure for storing results from a fixed-point iteration method with normalization.
    Data structure for storing results from the core linearizer method.
    Data structure for storing intermediate estimates from the linearizer method.
    Data structure for storing final results from the forward MVA step in the linearizer method.
    Data structure for storing core results from the MS linearizer method.
    Data structure for storing estimated intermediate results from the MS linearizer method.
    Data structure for storing final results from the forward MVA step of the MS linearizer method.
    Data structure to hold the results of the MVA (Mean Value Analysis) computation.
    Data structure for storing results from an MVA computation using the LD method.
    Data structure to hold the results of the MVA computation with additional detailed metrics.
    Data structure to hold extended results from the MVA computation, particularly focusing on error corrections.
    Data structure for storing results from a normalizing constant calculation.
    Data structure for storing complex results from a normalizing constant calculation.
    Data structure for storing sanitized input parameters for a normalizing constant calculation.
    Data structure for storing results from a normalizing constant calculation involving throughputs and queue lengths.
    Data structure for storing results from the RD method.
    A class to store the results of queueing system analysis.
    A return type for the snDeaggregateChainResults method, encapsulating multiple chain-related matrix results.
    A return type for the snGetDemands method, encapsulating multiple matrix results.
    A return type for the snGetDemandsChain method, encapsulating multiple chain-related matrix results.
    A return type for methods returning product form chain parameters.
    A return type for methods returning product form parameters.
    Functions for interfacing with JMT, JLQN, and the operating system