P-index

A B C D E F G H I J K L M N O P Q R S T U V W X Z

P

Pair - class in jline.util: A generic pair container that holds two objects of potentially different types.
param(int) - function in jline.lang.processes.Distribution: Kotlin-style property alias for getParam(int id)
param(int) - function in jline.lang.processes.Distribution: Kotlin-style property alias for getParam(int id)
param(int) - function in jline.lang.processes.Process: Kotlin-style property alias for getParam(int id)
param(int) - function in jline.lang.processes.Process: Kotlin-style property alias for getParam(int id)
PARETO - enum entry in jline.lang.constant.ProcessType
Pareto - class in jline.lang.processes: A Pareto distribution
parse(java.util.Map,kotlin.Array,java.util.Map,java.util.Map) - function in jline.lib.SMC.ParseOptPara.Companion: Parse optional parameters from a map of parameter names to values
parseArgs(kotlin.Array) - function in jline.cli.LineCLI: Parses the command-line arguments provided to configure the LINE Solver.
parseIntArray(java.lang.String) - function in jline.util.Utils: Parse integer array from string representation
parseOptions(kotlin.Array) - function in jline.solvers.Solver: Parses option parameters into a SolverOptions data structure.
parseOptions(kotlin.Array) - function in jline.solvers.Solver: Parses option parameters into a SolverOptions data structure.
parseOptions(jline.solvers.SolverOptions,kotlin.Array) - function in jline.solvers.Solver: Parses option parameters into an existing SolverOptions instance.
parseOptions(jline.solvers.SolverOptions,kotlin.Array) - function in jline.solvers.Solver: Parses option parameters into an existing SolverOptions instance.
parseOptions(kotlin.Array) - function in jline.solvers.qns.SolverQNS: Parse options from variable arguments
ParseOptPara - class in jline.lib.SMC: ParseOptPara - Utility function to parse optional parametersThis is a Kotlin port of the MATLAB ParseOptPara function for parsing optional parameters in QBD and related solvers.
ParseOptPara.Companion - class in jline.lib.SMC.ParseOptPara
parseSimple(java.util.Map,java.lang.Object) - function in jline.lib.SMC.ParseOptPara.Companion: Simplified version for numeric and string parameters only
parseXML(java.lang.String) - function in jline.lang.layered.LayeredNetwork: Parses a layered queueing network from an XML file with default verbose setting.
parseXML(java.lang.String,boolean) - function in jline.lang.layered.LayeredNetwork: Parses a layered queueing network from an XML file.
parseXMLResults(java.lang.String) - function in jline.solvers.lqns.SolverLQNS
PARTIAL - enum entry in jline.lang.constant.JoinStrategy
PassageTimeODE - class in jline.solvers.fluid.handlers
PermExampleKt - class in jline.lib.perm
PermSolver - class in jline.lib.perm: Abstract base class for permanent computation solvers.
permutations(jline.util.matrix.Matrix) - function in jline.util.Maths
pfqn_ab(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.util.List) - function in jline.api.pfqn.ld.Pfqn_abKt: Akyildiz-Bolch (A/B) linearizer methodReference: A.
Pfqn_abKt - class in jline.api.pfqn.ld
pfqn_aql(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Double,java.lang.Integer) - function in jline.api.pfqn.mva.Pfqn_aqlKt: AQL approximate MVA for a closed queueing network model.
pfqn_aql(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Integer) - function in jline.api.pfqn.mva.Pfqn_aqlKt: AQL approximate MVA for a closed queueing network model.
Pfqn_aqlKt - class in jline.api.pfqn.mva
pfqn_bs(jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.pfqn.mva.Pfqn_bsKt: Bard-Schweitzer approximate mean value analysis algorithm
pfqn_bs(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Double,java.lang.Integer,jline.util.matrix.Matrix) - function in jline.api.pfqn.mva.Pfqn_bsKt: Bard-Schweitzer approximate mean value analysis algorithm
pfqn_bs(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Double,java.lang.Integer) - function in jline.api.pfqn.mva.Pfqn_bsKt: Bard-Schweitzer approximate mean value analysis algorithm
pfqn_bs(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Double) - function in jline.api.pfqn.mva.Pfqn_bsKt: Bard-Schweitzer approximate mean value analysis algorithm
pfqn_bs(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.pfqn.mva.Pfqn_bsKt: Bard-Schweitzer approximate mean value analysis algorithm
pfqn_bs(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Double,java.lang.Integer,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.pfqn.mva.Pfqn_bsKt: Bard-Schweitzer approximate mean value analysis algorithm with weighted priorities
pfqn_bs(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Double,java.lang.Integer,jline.util.matrix.Matrix,kotlin.Array) - function in jline.api.pfqn.mva.Pfqn_bsKt: Bard-Schweitzer approximate mean value analysis algorithm
pfqn_bs(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Double,java.lang.Integer,jline.util.matrix.Matrix,kotlin.Array,jline.util.matrix.Matrix) - function in jline.api.pfqn.mva.Pfqn_bsKt: Bard-Schweitzer approximate mean value analysis algorithm with optional weighted priorities
Pfqn_bsKt - class in jline.api.pfqn.mva
pfqn_ca(jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.pfqn.nc.Pfqn_caKt: Compute the normalizing constant using the convolution algorithm
pfqn_ca(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.pfqn.nc.Pfqn_caKt: Compute the normalizing constant using the convolution algorithm
Pfqn_caKt - class in jline.api.pfqn.nc
pfqn_cdfun(jline.util.matrix.Matrix,java.util.Map,java.util.List) - function in jline.api.pfqn.ld.Pfqn_cdfunKt: Evaluate class-dependent (CD) scaling function
Pfqn_cdfunKt - class in jline.api.pfqn.ld
pfqn_comomrm(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Integer,java.lang.Double) - function in jline.api.pfqn.nc.Pfqn_comomrmKt: Compute the normalizing constant of a repairmen model using COMOM
pfqn_comomrm_ld(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.solvers.SolverOptions) - function in jline.api.pfqn.ld.Pfqn_comomrm_ldKt: Run the COMOM normalizing constant solution method on a repairman model
Pfqn_comomrm_ldKt - class in jline.api.pfqn.ld
Pfqn_comomrmKt - class in jline.api.pfqn.nc
pfqn_conwayms(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.pfqn.mva.Pfqn_conwaymsKt
pfqn_conwayms(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,kotlin.IntArray) - function in jline.api.pfqn.mva.Pfqn_conwaymsKt
pfqn_conwayms(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,kotlin.IntArray,kotlin.Array,java.lang.Double,java.lang.Integer) - function in jline.api.pfqn.mva.Pfqn_conwaymsKt
pfqn_conwayms_core(jline.util.matrix.Matrix,java.lang.Integer,java.lang.Integer,jline.util.matrix.Matrix,jline.util.matrix.Matrix,kotlin.IntArray,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.MatrixCell,kotlin.Array,java.lang.Double,java.lang.Integer) - function in jline.api.pfqn.mva.Pfqn_conwaymsKt
pfqn_conwayms_estimate(java.lang.Integer,java.lang.Integer,jline.util.matrix.Matrix,kotlin.IntArray,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.MatrixCell,jline.util.matrix.Matrix) - function in jline.api.pfqn.mva.Pfqn_conwaymsKt
pfqn_conwayms_forwardmva(jline.util.matrix.Matrix,java.lang.Integer,java.lang.Integer,jline.util.matrix.Matrix,jline.util.matrix.Matrix,kotlin.IntArray,kotlin.Array,jline.util.matrix.MatrixCell,jline.util.matrix.MatrixCell,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.pfqn.mva.Pfqn_conwaymsKt
Pfqn_conwaymsKt - class in jline.api.pfqn.mva
pfqn_cub(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.pfqn.nc.Pfqn_cubKt: Cubature method to compute the normalizing constant of a load-independent closed queueing network model
pfqn_cub(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Integer,java.lang.Double) - function in jline.api.pfqn.nc.Pfqn_cubKt: Cubature method to compute the normalizing constant of a load-independent closed queueing network model
Pfqn_cubKt - class in jline.api.pfqn.nc
pfqn_egflinearizer(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,kotlin.Array,java.lang.Double,java.lang.Integer,jline.util.matrix.Matrix) - function in jline.api.pfqn.mva.Pfqn_egflinearizerKt: Extended general form linearizer approximate mean value analysis algorithm.
Pfqn_egflinearizerKt - class in jline.api.pfqn.mva
pfqn_fnc(jline.util.matrix.Matrix) - function in jline.api.pfqn.ld.Pfqn_fncKt: Compute scaling factor of a load-dependent functional server use to calculate the mean
pfqn_fnc(jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.pfqn.ld.Pfqn_fncKt: Compute scaling factor of a load-dependent functional server use to calculate the mean instantiated with scaling constant c.
Pfqn_fncKt - class in jline.api.pfqn.ld
pfqn_gflinearizer(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,kotlin.Array,java.lang.Double,java.lang.Integer,java.lang.Double) - function in jline.api.pfqn.mva.Pfqn_gflinearizerKt
Pfqn_gflinearizerKt - class in jline.api.pfqn.mva
pfqn_gld(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.solvers.SolverOptions) - function in jline.api.pfqn.ld.Pfqn_gldKt: Compute the normalizing constant of a single-class load-dependent closed queueing network model
pfqn_gld_complex(jline.util.matrix.ComplexMatrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.solvers.SolverOptions) - function in jline.api.pfqn.ld.Pfqn_gld_complexKt: Compute the normalizing constant of a single-class load-dependent closed queueing network model with complex demands.
Pfqn_gld_complexKt - class in jline.api.pfqn.ld
Pfqn_gldKt - class in jline.api.pfqn.ld
pfqn_gldsingle(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.solvers.SolverOptions) - function in jline.api.pfqn.ld.Pfqn_gldsingleKt: Auxiliary function used by pfqn_gld to computer the normalizing constant in a single-class load-dependent model.
pfqn_gldsingle_complex(jline.util.matrix.ComplexMatrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.solvers.SolverOptions) - function in jline.api.pfqn.ld.Pfqn_gldsingle_complexKt: Auxiliary function used by pfqn_gld to computer the normalizing constant in a single-class load-dependent model with complex demands.
Pfqn_gldsingle_complexKt - class in jline.api.pfqn.ld
Pfqn_gldsingleKt - class in jline.api.pfqn.ld
pfqn_kt(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.pfqn.nc.Pfqn_ktKt: Knessl-Tier asymptotic expansion of the normalizing constant using the ray method.
Pfqn_ktKt - class in jline.api.pfqn.nc
pfqn_le(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.pfqn.nc.Pfqn_leKt: Logistic expansion method to compute the normalizing constant
pfqn_le_fpi(jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.pfqn.nc.Pfqn_le_fpiKt: Fixed-point iteration used in the logistic expansion method
Pfqn_le_fpiKt - class in jline.api.pfqn.nc
pfqn_le_fpiZ(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.pfqn.nc.Pfqn_le_fpiZKt: Fixed-point iteration used in the logistic expansion method in models with delays
Pfqn_le_fpiZKt - class in jline.api.pfqn.nc
pfqn_le_hessian(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.pfqn.nc.Pfqn_le_hessianKt: Auxiliary function to compute the Hessian used in the logistic expansion method
Pfqn_le_hessianKt - class in jline.api.pfqn.nc
Pfqn_leKt - class in jline.api.pfqn.nc
pfqn_linearizer(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,kotlin.Array,java.lang.Double,java.lang.Integer) - function in jline.api.pfqn.mva.Pfqn_linearizerKt: Linearizer approximate mean value analysis algorithm
Pfqn_linearizerKt - class in jline.api.pfqn.mva
pfqn_linearizerms(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.pfqn.mva.Pfqn_linearizermsKt: Mean Value Analysis (MVA) method for closed networks with load dependent service
pfqn_linearizerms(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.util.List,java.lang.Double,java.lang.Integer) - function in jline.api.pfqn.mva.Pfqn_linearizermsKt: Multiserver version of Krzesinski's Linearizer as described in Conway 1989, Fast Approximate Solution of Queueing Networks with Multi-Server Chain- Dependent FCFS Queues.
Pfqn_linearizermsKt - class in jline.api.pfqn.mva
pfqn_linearizermx(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,kotlin.Array,java.lang.Double,java.lang.Integer,java.lang.String) - function in jline.api.pfqn.mva.Pfqn_linearizermxKt: Linearizer method for mixed models with multi-server stations
Pfqn_linearizermxKt - class in jline.api.pfqn.mva
pfqn_linearizerpp(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Integer,java.lang.Double,java.lang.Integer,java.lang.Integer) - function in jline.api.pfqn.mva.Pfqn_linearizerppKt: Linearizer approximate mean value analysis algorithm
Pfqn_linearizerppKt - class in jline.api.pfqn.mva
pfqn_lldfun(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.pfqn.ld.Pfqn_lldfunKt: Evaluate limited-load dependent (LLD) function
Pfqn_lldfunKt - class in jline.api.pfqn.ld
pfqn_ls(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Long,java.lang.Long) - function in jline.api.pfqn.nc.Pfqn_lsKt: Logistic sampling method to compute the normalizing constant
Pfqn_lsKt - class in jline.api.pfqn.nc
pfqn_mci(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Integer,java.lang.String) - function in jline.api.pfqn.nc.Pfqn_mciKt
Pfqn_mciKt - class in jline.api.pfqn.nc
pfqn_mmint2(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.pfqn.nc.Pfqn_mmint2Kt
pfqn_mmint2_gausslegendre(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Integer) - function in jline.api.pfqn.nc.Pfqn_mmint2_gausslegendreKt: Compute the normalizing constant of a repairmen model using Gauss-Legendre integration
Pfqn_mmint2_gausslegendreKt - class in jline.api.pfqn.nc
Pfqn_mmint2Kt - class in jline.api.pfqn.nc
pfqn_mmsample2(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Integer) - function in jline.api.pfqn.nc.Pfqn_mmsample2Kt: APIs for evaluating Product-Form Queueing Networks.
Pfqn_mmsample2Kt - class in jline.api.pfqn.nc
Pfqn_mom - class in jline.api.pfqn.nc: Method of Moments (MOM) solver for product-form queueing networks.
pfqn_mom(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.pfqn.nc.Pfqn_mom: Computes performance measures using the Method of Moments algorithm.
pfqn_mu_ms(java.lang.Integer,java.lang.Integer,java.lang.Integer) - function in jline.api.pfqn.ld.Pfqn_mu_msKt
pfqn_mu_ms_gnaux(java.lang.Integer,java.lang.Integer,java.lang.Integer,jline.util.matrix.Matrix) - function in jline.api.pfqn.ld.Pfqn_mu_msKt
Pfqn_mu_msKt - class in jline.api.pfqn.ld
pfqn_mushift(jline.util.matrix.Matrix,java.lang.Integer) - function in jline.api.pfqn.ld.Pfqn_mushiftKt: Shifts a load-dependent scaling vector by one position
Pfqn_mushiftKt - class in jline.api.pfqn.ld
pfqn_mva(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.pfqn.mva.Pfqn_mvaKt: Mean Value Analysis (MVA) Algorithm for closed Product-Form Queueing Networks.
Pfqn_mvaKt - class in jline.api.pfqn.mva
pfqn_mvald(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Boolean) - function in jline.api.pfqn.ld.Pfqn_mvaldKt: Mean Value Analysis (MVA) method for closed networks with load dependent service and stabilization
Pfqn_mvaldKt - class in jline.api.pfqn.ld
pfqn_mvaldms(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.pfqn.ld.Pfqn_mvaldmsKt: Wrapper for pfqn_mvaldmx that adjusts utilizations to account for multiservers
Pfqn_mvaldmsKt - class in jline.api.pfqn.ld
pfqn_mvaldmx(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.pfqn.ld.Pfqn_mvaldmxKt: Mean Value Analysis (MVA) method for mixed queueing networks with load-dependent nodes.
pfqn_mvaldmx_ec(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.pfqn.ld.Pfqn_mvaldmx_ecKt: Auxiliary function used by pfqn_mvaldmx to compute the EC terms
Pfqn_mvaldmx_ecKt - class in jline.api.pfqn.ld
Pfqn_mvaldmxKt - class in jline.api.pfqn.ld
pfqn_mvams(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.pfqn.mva.Pfqn_mvamsKt: General purpose script to handle mixed Query Networks with multiserver nodes.
Pfqn_mvamsKt - class in jline.api.pfqn.mva
pfqn_mvamx(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.pfqn.mva.Pfqn_mvamxKt: Mean Value Analysis (MVA) method for open and mixed queueing networks with no multi-server nodes.
Pfqn_mvamxKt - class in jline.api.pfqn.mva
pfqn_nc(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.solvers.SolverOptions) - function in jline.api.pfqn.nc.Pfqn_ncKt: Main method to compute the normalizing constant of a load-independent model
pfqn_nc_sanitize(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Double) - function in jline.api.pfqn.nc.Pfqn_nc_sanitizeKt: Sanitizes product-form model parameters to avoid degeneracies
Pfqn_nc_sanitizeKt - class in jline.api.pfqn.nc
pfqn_nca(jline.util.matrix.Matrix,java.lang.Integer,jline.util.matrix.Matrix) - function in jline.api.pfqn.nc.Pfqn_ncaKt
Pfqn_ncaKt - class in jline.api.pfqn.nc
Pfqn_ncKt - class in jline.api.pfqn.nc
pfqn_ncld(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.solvers.SolverOptions) - function in jline.api.pfqn.ld.Pfqn_ncldKt: Main method to compute the normalizing constant of a load-dependent model
Pfqn_ncldKt - class in jline.api.pfqn.ld
pfqn_nrl(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.solvers.SolverOptions) - function in jline.api.pfqn.nc.Pfqn_nrlKt
Pfqn_nrlKt - class in jline.api.pfqn.nc
pfqn_nrp(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.solvers.SolverOptions) - function in jline.api.pfqn.nc.Pfqn_nrpKt
Pfqn_nrpKt - class in jline.api.pfqn.nc
pfqn_panacea(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.solvers.SolverOptions) - function in jline.api.pfqn.nc.Pfqn_panaceaKt: Compute the PANACEA approximation
Pfqn_panaceaKt - class in jline.api.pfqn.nc
pfqn_pff_delay(jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.pfqn.nc.Pfqn_pff_delayKt: Compute the product-form factor relatively to a Delay station
Pfqn_pff_delayKt - class in jline.api.pfqn.nc
pfqn_procomom2(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.pfqn.ld.Pfqn_procomom2Kt: Overloaded version with default values
pfqn_procomom2(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.pfqn.ld.Pfqn_procomom2Kt: Overloaded version with default values
pfqn_procomom2(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Integer) - function in jline.api.pfqn.ld.Pfqn_procomom2Kt: Compute marginal state probabilities for the queue in a model consisting of a queueing station and a delay station only.
Pfqn_procomom2Kt - class in jline.api.pfqn.ld
pfqn_propfair(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.pfqn.nc.Pfqn_propfairKt: Compute the proportionally fair allocation approximationEstimate the normalizing constant using a convex optimization program that is asymptotically exact in models with single-server PS queues only.
Pfqn_propfairKt - class in jline.api.pfqn.nc
pfqn_qzgblow(jline.util.matrix.Matrix,java.lang.Double,java.lang.Double,java.lang.Integer) - function in jline.api.pfqn.mva.Pfqn_qzgblowKt: Computes the lower Geometric Bound (GB) for the queue length of the given closed single-class queueing networks
Pfqn_qzgblowKt - class in jline.api.pfqn.mva
pfqn_qzgbup(jline.util.matrix.Matrix,java.lang.Double,java.lang.Double,java.lang.Integer) - function in jline.api.pfqn.mva.Pfqn_qzgbupKt: Computes the upper Geometric Bound (GB) for the queue length of the given closed single-class queueing networks
Pfqn_qzgbupKt - class in jline.api.pfqn.mva
pfqn_rd(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.solvers.SolverOptions) - function in jline.api.pfqn.nc.Pfqn_rdKt
Pfqn_rdKt - class in jline.api.pfqn.nc
pfqn_recal(jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.pfqn.nc.Pfqn_recalKt: RECAL method to compute the normalizing constant of a load-independent closed queueing network model
pfqn_recal(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.pfqn.nc.Pfqn_recalKt: RECAL method to compute the normalizing constant of a load-independent closed queueing network model
pfqn_recal(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.pfqn.nc.Pfqn_recalKt: RECAL method to compute the normalizing constant of a load-independent closed queueing network model
Pfqn_recalKt - class in jline.api.pfqn.nc
pfqn_schmidt(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.util.List) - function in jline.api.pfqn.ld.Pfqn_schmidtKt: Schmidt method for load-dependent MVA with multi-server stationsImplementation of the Schmidt population recursion algorithm for analyzing closed queueing networks with load-dependent service and multi-server stations.
Pfqn_schmidtKt - class in jline.api.pfqn.ld
pfqn_sqni(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.pfqn.mva.Pfqn_sqniKt
Pfqn_sqniKt - class in jline.api.pfqn.mva
pfqn_stdf(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.pfqn.nc.Pfqn_stdfKt: Sojourn time distribution function at multiserver FCFS nodes J.
pfqn_stdf_heur(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.pfqn.nc.Pfqn_stdf_heurKt: Heuristic sojourn time distribution analysis at multiserver FCFS nodes based on a variant of the method in J.
Pfqn_stdf_heurKt - class in jline.api.pfqn.nc
Pfqn_stdfKt - class in jline.api.pfqn.nc
pfqn_xia(jline.util.matrix.Matrix,java.lang.Integer,jline.util.matrix.Matrix,jline.solvers.SolverOptions) - function in jline.api.pfqn.ld.Pfqn_xiaKt
Pfqn_xiaKt - class in jline.api.pfqn.ld
pfqn_xzabalow(jline.util.matrix.Matrix,java.lang.Double,java.lang.Double) - function in jline.api.pfqn.mva.Pfqn_xzabalowKt: Computes the low ABA for the throughput of the given closed single-class queueing networks
Pfqn_xzabalowKt - class in jline.api.pfqn.mva
pfqn_xzabaup(jline.util.matrix.Matrix,java.lang.Double,java.lang.Double) - function in jline.api.pfqn.mva.Pfqn_xzabaupKt: Computes the upper ABA for the throughput of the given closed single-class queueing networks
Pfqn_xzabaupKt - class in jline.api.pfqn.mva
pfqn_xzgsblow(jline.util.matrix.Matrix,java.lang.Double,java.lang.Double) - function in jline.api.pfqn.mva.Pfqn_xzgsblowKt: Computes the lower Geometric Square-Root Bound (GSB) for the throughput of the given closed single-class queueing networks
Pfqn_xzgsblowKt - class in jline.api.pfqn.mva
pfqn_xzgsbup(jline.util.matrix.Matrix,java.lang.Double,java.lang.Double) - function in jline.api.pfqn.mva.Pfqn_xzgsbupKt: Computes the upper Geometric Square-Root Bound (GSB) for the throughput of the given closed single-class queueing networks
Pfqn_xzgsbupKt - class in jline.api.pfqn.mva
PfqnAbKt - class in jline.api.pfqn.ld: PFQN ab algorithms
PfqnAqlKt - class in jline.api.pfqn.mva: PFQN aql algorithms
PfqnBsKt - class in jline.api.pfqn.mva: PFQN bs algorithms
PfqnCaKt - class in jline.api.pfqn.nc: PFQN ca algorithms
PfqnCdfunKt - class in jline.api.pfqn.ld: PFQN cdfun algorithms
PfqnComomrmKt - class in jline.api.pfqn.nc: PFQN comomrm algorithms
PfqnComomrmLdKt - class in jline.api.pfqn.ld: PFQN comomrm ld algorithms
PfqnConwaymsKt - class in jline.api.pfqn.mva: PFQN conwayms algorithms
PfqnCubKt - class in jline.api.pfqn.nc: PFQN cub algorithms
PfqnEgflinearizerKt - class in jline.api.pfqn.mva: PFQN egflinearizer algorithms
PfqnFncKt - class in jline.api.pfqn.ld: PFQN fnc algorithms
PfqnGflinearizerKt - class in jline.api.pfqn.mva: PFQN gflinearizer algorithms
PfqnGldComplexKt - class in jline.api.pfqn.ld: PFQN gld complex algorithms
PfqnGldKt - class in jline.api.pfqn.ld: PFQN gld algorithms
PfqnGldsingleComplexKt - class in jline.api.pfqn.ld: PFQN gldsingle complex algorithms
PfqnGldsingleKt - class in jline.api.pfqn.ld: PFQN gldsingle algorithms
PfqnKtKt - class in jline.api.pfqn.nc: PFQN kt algorithms
PfqnLeFpiKt - class in jline.api.pfqn.nc: PFQN le fpi algorithms
PfqnLeFpizKt - class in jline.api.pfqn.nc: PFQN le fpiZ algorithms
PfqnLeHessianKt - class in jline.api.pfqn.nc: PFQN le hessian algorithms
PfqnLeHessianzKt - class in jline.api.pfqn.nc: PFQN le hessianZ algorithms
PfqnLeKt - class in jline.api.pfqn.nc: PFQN le algorithms
PfqnLinearizerKt - class in jline.api.pfqn.mva: PFQN linearizer algorithms
PfqnLinearizermsKt - class in jline.api.pfqn.mva: PFQN linearizerms algorithms
PfqnLinearizermxKt - class in jline.api.pfqn.mva: PFQN linearizermx algorithms
PfqnLinearizerppKt - class in jline.api.pfqn.mva: PFQN linearizerpp algorithms
PfqnLldfunKt - class in jline.api.pfqn.ld: PFQN lldfun algorithms
PfqnLsKt - class in jline.api.pfqn.nc: PFQN ls algorithms
PfqnMciKt - class in jline.api.pfqn.nc: PFQN mci algorithms
PfqnMmint2GausslegendreKt - class in jline.api.pfqn.nc: PFQN mmint2 gausslegendre algorithms
PfqnMmint2Kt - class in jline.api.pfqn.nc: PFQN mmint2 algorithms
PfqnMmsample2Kt - class in jline.api.pfqn.nc: PFQN mmsample2 algorithms
PfqnMomKt - class in jline.api.pfqn.nc: PFQN mom algorithms
PfqnMuMsKt - class in jline.api.pfqn.ld: PFQN mu ms algorithms
PfqnMushiftKt - class in jline.api.pfqn.ld: PFQN mushift algorithms
PfqnMvaKt - class in jline.api.pfqn.mva: PFQN mva algorithms
PfqnMvaldKt - class in jline.api.pfqn.ld: PFQN mvald algorithms
PfqnMvaldmsKt - class in jline.api.pfqn.ld: PFQN mvaldms algorithms
PfqnMvaldmxEcKt - class in jline.api.pfqn.ld: PFQN mvaldmx ec algorithms
PfqnMvaldmxKt - class in jline.api.pfqn.ld: PFQN mvaldmx algorithms
PfqnMvamsKt - class in jline.api.pfqn.mva: PFQN mvams algorithms
PfqnMvamxKt - class in jline.api.pfqn.mva: PFQN mvamx algorithms
PfqnNcaKt - class in jline.api.pfqn.nc: PFQN nca algorithms
PfqnNcKt - class in jline.api.pfqn.nc: PFQN nc algorithms
PfqnNcldKt - class in jline.api.pfqn.ld: PFQN ncld algorithms
PfqnNcSanitizeKt - class in jline.api.pfqn.nc: PFQN nc sanitize algorithms
PfqnNrlKt - class in jline.api.pfqn.nc: PFQN nrl algorithms
PfqnNrpKt - class in jline.api.pfqn.nc: PFQN nrp algorithms
PfqnPanaceaKt - class in jline.api.pfqn.nc: PFQN panacea algorithms
PfqnPffDelayKt - class in jline.api.pfqn.nc: PFQN pff delay algorithms
PfqnProcomom2Kt - class in jline.api.pfqn.ld: PFQN procomom2 algorithms
PfqnPropfairKt - class in jline.api.pfqn.nc: PFQN propfair algorithms
PfqnQzgblowKt - class in jline.api.pfqn.mva: PFQN qzgblow algorithms
PfqnQzgbupKt - class in jline.api.pfqn.mva: PFQN qzgbup algorithms
PfqnRdKt - class in jline.api.pfqn.nc: PFQN rd algorithms
PfqnRecalKt - class in jline.api.pfqn.nc: PFQN recal algorithms
PfqnSchmidtKt - class in jline.api.pfqn.ld: PFQN schmidt algorithms
PfqnSqniKt - class in jline.api.pfqn.mva: PFQN sqni algorithms
PfqnSqniResult - class in jline.api.pfqn.mva
PfqnStdfHeurKt - class in jline.api.pfqn.nc: PFQN stdf heur algorithms
PfqnStdfKt - class in jline.api.pfqn.nc: PFQN stdf algorithms
PfqnXiaKt - class in jline.api.pfqn.ld: PFQN xia algorithms
PfqnXzabalowKt - class in jline.api.pfqn.mva: PFQN xzabalow algorithms
PfqnXzabaupKt - class in jline.api.pfqn.mva: PFQN xzabaup algorithms
PfqnXzgsblowKt - class in jline.api.pfqn.mva: PFQN xzgsblow algorithms
PfqnXzgsbupKt - class in jline.api.pfqn.mva: PFQN xzgsbup algorithms
PH - enum entry in jline.lang.constant.ProcessType
PH - class in jline.lang.processes: A general phase-type (PH) distribution
ph_reindex(java.util.Map,jline.lang.NetworkStruct) - function in jline.api.mam.Ph_reindexKt: Reindexes a map of phase-type (PH) distributions for a network model based on station and job class indices.
Ph_reindexKt - class in jline.api.mam
PHASE - enum entry in jline.lang.constant.EventType
phi() - function in jline.lang.processes.Coxian: Kotlin-style property alias for getPhi()
phi() - function in jline.lang.processes.Coxian: Kotlin-style property alias for getPhi()
phi() - function in jline.lang.processes.Det: Kotlin-style property alias for getPhi()
phi() - function in jline.lang.processes.Markovian: Kotlin-style property alias for getPhi()
phi() - function in jline.lang.processes.Markovian: Kotlin-style property alias for getPhi()
PhReindex - class in jline.api.mam: Ph Reindex algorithms
Place - enum entry in jline.lang.constant.NodeType: Place node in Petri net models - holds tokens
Place - class in jline.lang.nodes: A queueing station within a Network model
PNR - enum entry in jline.lang.constant.SchedStrategyType
POISSON - enum entry in jline.lang.constant.ProcessType
Poisson - class in jline.lang.processes: A Poisson discrete distribution
poisson_example() - function in jline.lib.kpctoolbox.MAPCatalog: Poisson Example Source: poisson_example.
POLLING - enum entry in jline.lang.constant.SchedStrategy: Polling - server visits queues in cyclic order
polling_exhaustive_det() - function in jline.examples.java.advanced.CyclicPollingExamples: Demonstrates exhaustive polling with deterministic service times (polling_exhaustive_det.ipynb).
polling_exhaustive_det() - function in jline.examples.java.advanced.CyclicPollingModel: M[2]/M[2]/1-Exhaustive polling system with deterministic arrivals and immediate switchover.
polling_exhaustive_exp() - function in jline.examples.java.advanced.CyclicPollingExamples: Demonstrates exhaustive polling with exponential service times (polling_exhaustive_exp.ipynb).
polling_exhaustive_exp() - function in jline.examples.java.advanced.CyclicPollingModel: M[2]/M[2]/1-Gated polling system example.
polling_gated() - function in jline.examples.java.advanced.CyclicPollingExamples: Demonstrates gated polling service discipline (polling_gated.ipynb).
polling_gated() - function in jline.examples.java.advanced.CyclicPollingModel: M[2]/M[2]/1-Gated polling system with switchover times.
polling_klimited() - function in jline.examples.java.advanced.CyclicPollingExamples: Demonstrates k-limited polling service discipline (polling_klimited.ipynb).
polling_klimited() - function in jline.examples.java.advanced.CyclicPollingModel: M[2]/M[2]/1-K-Limited polling system with mixed switchover.
polling_qsys_1limited(kotlin.Array,kotlin.Array,kotlin.Array) - function in jline.api.polling.Polling_qsys_1limitedKt: Computes the exact mean waiting time solution for a polling system with open arrivals.
Polling_qsys_1limitedKt - class in jline.api.polling
polling_qsys_exhaustive(kotlin.Array,kotlin.Array,kotlin.Array) - function in jline.api.polling.Polling_qsys_exhaustiveKt: Computes the exact mean waiting time solution for a polling system with open arrivals, where all queues are served exhaustively.
Polling_qsys_exhaustiveKt - class in jline.api.polling
polling_qsys_gated(kotlin.Array,kotlin.Array,kotlin.Array) - function in jline.api.polling.Polling_qsys_gatedKt: Computes the exact mean waiting time solution for a polling system with open arrivals, where all queues use gated service discipline.
Polling_qsys_gatedKt - class in jline.api.polling
PollingQsys1limited - class in jline.api.polling: Polling Qsys 1Limited algorithms
PollingQsysExhaustive - class in jline.api.polling: Polling Qsys Exhaustive algorithms
PollingQsysGated - class in jline.api.polling: Polling Qsys Gated algorithms
PollingServer - class in jline.lang.sections: A service section that processes jobs using Polling scheduling
PollingType - class in jline.lang.constant: Enumeration of polling service types for polling scheduling strategy.
poly(jline.util.matrix.Matrix) - function in jline.lib.butools.PolyKt
PolyKt - class in jline.lib.butools
popularityGet(int) - function in jline.lang.nodes.Cache: Gets the popularity distribution for a linear index.
popularityGet(int,int) - function in jline.lang.nodes.Cache: Gets the popularity distribution for a specific item class and job class.
popularityLength() - function in jline.lang.nodes.Cache: Gets the maximum dimension of the popularity matrix.
popularitySet(int,int,jline.lang.processes.Distribution) - function in jline.lang.nodes.Cache: Sets the popularity distribution for a specific item class and job class.
popularitySet(int,jline.lang.processes.Distribution) - function in jline.lang.nodes.Cache: Sets the popularity distribution for a linear index.
PopulationLattice - class in jline.util: Data structure modeling a lattice used to describe a combination of job populations.
PopulationLattice.sprodResult - class in jline.util.PopulationLattice
POST - enum entry in jline.lang.constant.EventType
post(int) - function in jline.solvers.EnsembleSolver
post(int) - function in jline.solvers.env.SolverEnv
post(int) - function in jline.solvers.ln.SolverLN
pow(jline.util.matrix.Matrix,int) - function in jline.util.matrix.Matrix: Computes the matrix power A^b for a non-negative integer exponent b.
powerSumCols(int,double) - function in jline.util.matrix.Matrix: Computes the sum of powers of absolute values in a column: ∑ |A_{ji}|^alpha
powerSumRows(int,double) - function in jline.util.matrix.Matrix: Computes the sum of powers of absolute values in a row: ∑ |A_{ij}|^alpha
pprod(jline.util.matrix.Matrix) - function in jline.util.PopulationLattice: Initializes a population product iterator.
pprod(jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.util.PopulationLattice: Advances to the next population state in lexicographic order.
pprodcon(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.util.PopulationLattice
PR - enum entry in jline.lang.constant.SchedStrategyType
PRE - enum entry in jline.lang.constant.EventType
pre(int) - function in jline.solvers.EnsembleSolver
pre(int) - function in jline.solvers.env.SolverEnv
pre(int) - function in jline.solvers.ln.SolverLN
predict(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.String) - function in jline.solvers.nn.handlers.GNNpredict
PreemptiveServer - class in jline.lang.sections: A preemptive service section that can interrupt lower priority jobs to serve higher priority jobs.
preprocessingDS(jline.util.matrix.Matrix) - function in jline.lib.perm.QueueingNetworkKt: Utility function to make a matrix doubly stochastic.
prettyPrint() - function in jline.solvers.ctmc.SolverCTMC.generatorResult
prettyPrint() - function in jline.util.matrix.Matrix: Pretty prints the matrix with automatic formatting and alignment.
prettyPrintInt() - function in jline.solvers.ctmc.SolverCTMC.generatorResult
prettyPrintInt() - function in jline.util.matrix.Matrix: Pretty prints the matrix assuming integer values.
primes(int) - function in jline.util.Maths
print() - function in jline.lang.NetworkStruct: Print comprehensive information about this NetworkStruct.
print() - function in jline.lang.RoutingMatrix
print() - function in jline.lang.layered.LayeredNetworkStruct
print() - function in jline.solvers.AvgTable: Prints the table contents in a human-readable format.
print() - function in jline.solvers.LayeredNetworkAvgTable: Prints the table contents in a human-readable format.
print() - function in jline.solvers.LayeredNetworkAvgTable: Prints the table contents in a human-readable format.
print(boolean) - function in jline.solvers.LayeredNetworkAvgTable
print(boolean) - function in jline.solvers.LayeredNetworkAvgTable
print(jline.solvers.SolverOptions) - function in jline.solvers.LayeredNetworkAvgTable
print(jline.solvers.SolverOptions) - function in jline.solvers.LayeredNetworkAvgTable
print(jline.solvers.SolverOptions,boolean) - function in jline.solvers.LayeredNetworkAvgTable
print() - function in jline.solvers.NetworkAvgChainTable: Prints the table contents in a human-readable format.
print(jline.solvers.SolverOptions) - function in jline.solvers.NetworkAvgChainTable
print() - function in jline.solvers.NetworkAvgNodeChainTable: Prints the table contents in a human-readable format.
print(jline.solvers.SolverOptions) - function in jline.solvers.NetworkAvgNodeChainTable
print() - function in jline.solvers.NetworkAvgNodeTable: Prints the table contents in a human-readable format.
print(jline.solvers.SolverOptions) - function in jline.solvers.NetworkAvgNodeTable
print() - function in jline.solvers.NetworkAvgSysTable: Prints the table contents in a human-readable format.
print(jline.solvers.SolverOptions) - function in jline.solvers.NetworkAvgSysTable
print() - function in jline.solvers.NetworkAvgTable: Prints the table contents in a human-readable format.
print(jline.solvers.SolverOptions) - function in jline.solvers.NetworkAvgTable
print() - function in jline.solvers.NetworkSolver: Detailed print function that displays all contents of the NetworkSolver.
print() - function in jline.solvers.NetworkSolver: Detailed print function that displays all contents of the NetworkSolver.
print() - function in jline.solvers.ctmc.SolverCTMC.StateSpace
print() - function in jline.solvers.ctmc.SolverCTMC.generatorResult
print(jline.solvers.SolverOptions,boolean) - function in jline.solvers.lqns.SolverLQNS.DetailedLayeredNetworkAvgTable
print() - function in jline.util.matrix.Matrix: Prints the matrix with appropriate formatting, either as floats or integers.
print() - function in jline.util.matrix.MatrixCell: Prints all matrices in the collection to the standard output.
print_progress(jline.solvers.SolverOptions,java.lang.Integer) - function in jline.solvers.ssa.handlers.Solver_ssaKt
printAndClearGlobalResults() - function in jline.bench.cqn.CQNResultsFormatter: Print all accumulated results and clear the accumulator
printAvgTable() - function in jline.solvers.env.SolverEnv
printAvgTable(boolean) - function in jline.solvers.env.SolverEnv: Prints the average metrics table for all stations and job classes.
printBenchmarkSummary(java.lang.String,java.util.List) - function in jline.bench.BenchmarkFormatter: Format benchmark results as a table similar to MATLAB output
printEnsembleAvgTables() - function in jline.solvers.EnsembleSolver
printEnsembleAvgTables() - function in jline.solvers.EnsembleSolver
printEventFilt(jline.solvers.ctmc.SolverCTMC.generatorResult,jline.solvers.ctmc.SolverCTMC.StateSpace) - function in jline.solvers.ctmc.SolverCTMC
printEventFilt(jline.util.matrix.MatrixCell,jline.util.matrix.Matrix) - function in jline.solvers.ctmc.SolverCTMC
printImmediateResult(java.lang.String,java.util.Map) - function in jline.bench.cqn.CQNResultsFormatter: Print results immediately without accumulation
printInfGen(jline.solvers.ctmc.SolverCTMC.generatorResult,jline.solvers.ctmc.SolverCTMC.StateSpace) - function in jline.solvers.ctmc.SolverCTMC
printInfGen(jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.solvers.ctmc.SolverCTMC
printIterationResult(java.lang.String,int,java.util.Map) - function in jline.bench.BenchmarkFormatter: Print individual benchmark iteration results
printNonZero() - function in jline.util.matrix.Matrix: Prints only non-zero values and their positions in the matrix.
printRegressionSummary(java.lang.String,boolean,double,double) - function in jline.bench.BenchmarkFormatter: Print regression test summary
printResults() - function in jline.bench.cqn.CQNResultsFormatter.CQNResultsAccumulator
printRoutingMatrix() - function in jline.lang.Network
printStageTable() - function in jline.lang.Env: Prints a formatted table showing all stages, their properties, and transitions.
printSummary() - function in jline.lang.ClosedClass: Prints a summary of this closed class configuration.
printSummary() - function in jline.lang.ClosedClass: Prints a summary of this closed class configuration.
printSummary() - function in jline.lang.JobClass: Prints a summary of this job class configuration to the console.
printSummary() - function in jline.lang.JobClass: Prints a summary of this job class configuration to the console.
printSummary() - function in jline.lang.Mode
printSummary() - function in jline.lang.OpenClass: Prints a summary of this open class configuration.
printSummary() - function in jline.lang.nodes.Node: Prints a summary of this node's configuration to the console.
printSummary() - function in jline.lang.nodes.Node: Prints a summary of this node's configuration to the console.
printSummary() - function in jline.lang.nodes.Queue: Prints a summary of this queue's configuration to standard output.
printSummary() - function in jline.lang.nodes.Queue: Prints a summary of this queue's configuration to standard output.
printSummary() - function in jline.lang.nodes.Sink: Prints a summary of this node's configuration to the console.
printSummary() - function in jline.lang.nodes.Source: Prints a summary of this node's configuration to the console.
printSummary() - function in jline.lang.sections.OutputSection
printSummary() - function in jline.lang.sections.OutputSection
printTable() - function in jline.solvers.LayeredNetworkAvgTable
printTable() - function in jline.solvers.LayeredNetworkAvgTable
printTable(jline.solvers.SolverOptions) - function in jline.solvers.LayeredNetworkAvgTable
printTable(jline.solvers.SolverOptions) - function in jline.solvers.LayeredNetworkAvgTable
printTable() - function in jline.solvers.NetworkAvgChainTable
printTable(jline.solvers.SolverOptions) - function in jline.solvers.NetworkAvgChainTable
printTable() - function in jline.solvers.NetworkAvgNodeChainTable
printTable(jline.solvers.SolverOptions) - function in jline.solvers.NetworkAvgNodeChainTable
printTable() - function in jline.solvers.NetworkAvgNodeTable
printTable(jline.solvers.SolverOptions) - function in jline.solvers.NetworkAvgNodeTable
printTable() - function in jline.solvers.NetworkAvgSysTable
printTable(jline.solvers.SolverOptions) - function in jline.solvers.NetworkAvgSysTable
printTable() - function in jline.solvers.NetworkAvgTable
printTable(jline.solvers.SolverOptions) - function in jline.solvers.NetworkAvgTable
prio_hol_closed() - function in jline.examples.java.basic.PrioExamples: Closed priority network with HOL scheduling (prio_hol_closed.ipynb).
prio_hol_closed() - function in jline.examples.java.basic.PrioModel: Closed network comparing scheduling strategies with priorities.
prio_hol_open() - function in jline.examples.java.basic.PrioExamples: Open priority network with HOL scheduling (prio_hol_open.ipynb).
prio_hol_open() - function in jline.examples.java.basic.PrioModel: Open network with multiple scheduling strategies and priority classes.
prio_identical() - function in jline.examples.java.basic.PrioExamples: Priority network with GPSPRIO scheduling (prio_identical.ipynb).
prio_identical() - function in jline.examples.java.basic.PrioModel: Network with GPSPRIO scheduling and multiple priority classes.
prio_psprio() - function in jline.examples.java.basic.PrioExamples: Processor sharing with priority (prio_psprio.ipynb).
prio_psprio() - function in jline.examples.java.basic.PrioModel: Simple priority network with PSPRIO scheduling.
PrioExamples - class in jline.examples.java.basic: Priority queueing examples mirroring the Kotlin notebooks in prioModel.
PrioModel - class in jline.examples.java.basic: Examples of queueing models with priorities
PriorityAnalysis - class in jline.solvers.mam.handlers: Analyzes class priorities and determines if the configuration is supported.
PROB - enum entry in jline.lang.constant.RoutingStrategy: Probabilistic routing - destination selected according to specified probabilities
prob(int) - function in jline.solvers.NetworkSolver
prob(int) - function in jline.solvers.NetworkSolver
prob(int,jline.util.matrix.Matrix) - function in jline.solvers.NetworkSolver
prob(int,jline.util.matrix.Matrix) - function in jline.solvers.NetworkSolver
ProbabilityResult - class in jline.solvers.mva: Result class for probability calculations in MVA solver
probabilityUpdate() - function in jline.lang.sections.OutputSection
probabilityUpdate() - function in jline.lang.sections.OutputSection
probAggr(int) - function in jline.solvers.NetworkSolver
probAggr(int) - function in jline.solvers.NetworkSolver
probAggr(int,jline.util.matrix.Matrix) - function in jline.solvers.NetworkSolver
probAggr(int,jline.util.matrix.Matrix) - function in jline.solvers.NetworkSolver
probchoose(java.util.List) - function in jline.util.Maths: Choose an element index according to probability vector.
probchoose(jline.util.matrix.Matrix) - function in jline.util.Maths: Choose an element index according to probability vector.
probMarg(int,int) - function in jline.solvers.NetworkSolver
probMarg(int,int) - function in jline.solvers.NetworkSolver
probMarg(int,int,jline.util.matrix.Matrix) - function in jline.solvers.NetworkSolver
probMarg(int,int,jline.util.matrix.Matrix) - function in jline.solvers.NetworkSolver
probNormConstAggr() - function in jline.solvers.NetworkSolver
probNormConstAggr() - function in jline.solvers.NetworkSolver
probSys() - function in jline.solvers.NetworkSolver
probSys() - function in jline.solvers.NetworkSolver
probSysAggr() - function in jline.solvers.NetworkSolver
probSysAggr() - function in jline.solvers.NetworkSolver
probSysStateAggr() - function in jline.solvers.jmt.SolverJMT
process() - function in jline.lang.processes.Det: Kotlin-style property alias for getProcess()
process() - function in jline.lang.processes.Gamma: Kotlin-style property alias for getProcess()
process() - function in jline.lang.processes.Lognormal: Kotlin-style property alias for getProcess()
process() - function in jline.lang.processes.Markovian: Kotlin-style property alias for getProcess()
process() - function in jline.lang.processes.Markovian: Kotlin-style property alias for getProcess()
process() - function in jline.lang.processes.PH: Kotlin-style property alias for getProcess()
process() - function in jline.lang.processes.Pareto: Kotlin-style property alias for getProcess()
Process - class in jline.lang.processes: An abstract class for stochastic processes
process() - function in jline.lang.processes.Uniform: Kotlin-style property alias for getProcess()
process() - function in jline.lang.processes.Weibull: Kotlin-style property alias for getProcess()
process(java.lang.String) - function in jline.util.matrix.MatrixEquation: Processes a mathematical equation string and returns a new MatrixEquation containing the results.
Processor - class in jline.lang.layered: Alias for the Host class, i.e.
ProcessType - class in jline.lang.constant: Constants for specifying a point process type
PS - enum entry in jline.lang.constant.SchedStrategy: Processor Sharing - all jobs receive equal share of service capacity
PSPRIO - enum entry in jline.lang.constant.SchedStrategy: Processor Sharing with Priorities - PS within priority levels
PStarOptimisationFunction - class in jline.solvers.fluid.handlers
PStarSearcher - class in jline.solvers.fluid.handlers
put(jline.lang.state.EventCacheKey,jline.io.Ret.EventResult) - function in jline.lang.state.EventCache
put(jline.lang.nodes.Station,jline.lang.JobClass,jline.lang.Metric) - function in jline.solvers.AvgHandle: Stores a metric for a specific station and job class.
PythonCaller - class in jline.util: Utility class for calling Python scripts from Java

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