B-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

B

BALKING - enum entry in jline.lang.constant.ImpatienceType

Balking - customer refuses to join the queue based on queue state. This occurs when a customer arrives but decides not to join based on factors like queue length or expected waiting time.

BalkingStrategy - class in jline.lang.constant

Constants for specifying balking strategies (customer refusal to join queue).

BalkingThreshold - class in jline.lang.constant

Represents a balking threshold for queue-length based balking.

BASBlockingDebugTest - class in jline.examples.java.advanced

Debug test for BAS blocking in closed queueing networks.

BaseMatrix - class in jline.util.matrix

Common base class for matrix implementations, providing a unified interface for both dense and sparse matrix operations.

BasicExamples - class in jline.examples.java

Runs all basic examples by invoking their main methods.

BasicUtilsKt - class in jline.lib.kpctoolbox.basic

bc_paug89_mapa() - function in jline.lib.kpctoolbox.MAPCatalog

Bellcore packet trace August 1989 - MAPa (16x16) Source: BC-pAug89.

bc_paug89_mapk() - function in jline.lib.kpctoolbox.MAPCatalog

Bellcore packet trace August 1989 - MAPk (16x16) Source: BC-pAug89.

BenchCQN_FCFS - class in jline.bench.cqn

Benchmark for Closed Queueing Networks with First-Come-First-Serve (FCFS) scheduling All configurations (standard, hicv, multiserver, random mapping)

BenchCQN_FCFS.BenchmarkResult - class in jline.bench.cqn.BenchCQN_FCFS

BenchCQN_PS - class in jline.bench.cqn

Benchmark for Closed Queueing Networks with Processor Sharing (PS) scheduling Light load configuration

BenchCQN_PS.BenchmarkResult - class in jline.bench.cqn.BenchCQN_PS

BenchCQN_PS1 - class in jline.bench.cqn

CQN PS1 Benchmarks - Population: N1=2, N2=4

BenchCQN_PS2 - class in jline.bench.cqn

CQN PS2 Benchmarks

BenchCQN_PS3 - class in jline.bench.cqn

CQN PS3 Benchmarks

BenchCQN_PS4 - class in jline.bench.cqn

CQN PS4 Benchmarks

BenchCQN_RM - class in jline.bench.cqn

Dedicated benchmark runner for CQN Repairmen (RM) models Provides MATLAB-style formatted output

BenchCQNTemplate - class in jline.bench.cqn

Template for CQN benchmark implementations

BenchFJ_Closed - class in jline.bench.fj

Benchmark for Fork-Join Closed Networks Tests both homogeneous and heterogeneous configurations

BenchFJ_Closed.BenchmarkResult - class in jline.bench.fj.BenchFJ_Closed

BenchFJ_FCFS - class in jline.bench.fj

Benchmark for Fork-Join networks with FCFS scheduling Comprehensive benchmark suite with all configurations

BenchFJ_Mixed - class in jline.bench.fj

Benchmark for Fork-Join Mixed Networks (combination of open and closed classes) Tests both homogeneous and heterogeneous configurations

BenchFJ_Mixed.BenchmarkResult - class in jline.bench.fj.BenchFJ_Mixed

BenchFJ_Nested - class in jline.bench.fj

Benchmark for Fork-Join Nested Networks Tests nested fork-join structures with closed, open, and mixed configurations

BenchFJ_Nested.BenchmarkResult - class in jline.bench.fj.BenchFJ_Nested

BenchFJ_Open - class in jline.bench.fj

Benchmark for Fork-Join Open Networks Tests both homogeneous and heterogeneous configurations

BenchFJ_Open.BenchmarkResult - class in jline.bench.fj.BenchFJ_Open

BenchFJ_PS - class in jline.bench.fj

Benchmark for Fork-Join networks with PS scheduling Comprehensive benchmark suite with all configurations

BenchFJ_Template - class in jline.bench.fj

Template for Fork-Join benchmark implementations Supports all configurations: sc, mc, mc2, mc3, mc4 with standard and high CV

BenchFJ_Template.FJConfig - class in jline.bench.fj.BenchFJ_Template

BenchLQN_Custom - class in jline.bench.lqn

LQN benchmark using Custom solver configurations with various parameters

BenchLQN_Custom.CustomSolverFactory - class in jline.bench.lqn.BenchLQN_Custom

Custom solver factory with configurable parameters

BenchLQN_Default - class in jline.bench.lqn

LQN benchmark using Default solver configuration

BenchLQN_Default.DefaultSolverFactory - class in jline.bench.lqn.BenchLQN_Default

Default solver factory for LQN benchmarks

BenchLQN_Fluid - class in jline.bench.lqn

LQN benchmark using Fluid solver

BenchLQN_Fluid.FluidSolverFactory - class in jline.bench.lqn.BenchLQN_Fluid

Fluid solver factory for LQN benchmarks

BenchLQN_LQNS - class in jline.bench.lqn

LQN benchmark using LQNS solver (Layered Queueing Network Solver native) Note: Uses JMT as a proxy since native LQNS is external

BenchLQN_LQNS.LQNSSolverFactory - class in jline.bench.lqn.BenchLQN_LQNS

LQNS-style solver factory for LQN benchmarks

BenchLQN_MVA - class in jline.bench.lqn

LQN benchmark using MVA solver (Mean Value Analysis)

BenchLQN_MVA.MVASolverFactory - class in jline.bench.lqn.BenchLQN_MVA

MVA solver factory for LQN benchmarks

BenchLQN_NC - class in jline.bench.lqn

LQN benchmark using NC solver (Normalizing Constant)

BenchLQN_NC.NCSolverFactory - class in jline.bench.lqn.BenchLQN_NC

NC solver factory for LQN benchmarks

BenchLQN_SRVN - class in jline.bench.lqn

LQN benchmark using SRVN solver (Stochastic Rendezvous Networks) Note: Uses JMT as a proxy since native SRVN is external

BenchLQN_SRVN.SRVNSolverFactory - class in jline.bench.lqn.BenchLQN_SRVN

SRVN-style solver factory for LQN benchmarks

BenchmarkFormatter - class in jline.bench

Formats benchmark results in MATLAB-style tables

BenchmarkRegression - class in jline.bench

Handles benchmark regression testing by storing and comparing against baseline scores

BenchmarkRegression.BenchmarkResult - class in jline.bench.BenchmarkRegression

Container for benchmark results

BenchmarkRegression.RegressionBaseline - class in jline.bench.BenchmarkRegression

Container for regression baseline data

BenchmarkRegression.RegressionComparison - class in jline.bench.BenchmarkRegression

Container for regression comparison results

benchmarkSolvers(java.util.List) - function in jline.api.wf.WorkflowManager

Benchmark different solvers on this workflow.

BenchmarkSolvers - class in jline.bench

Benchmark solver initialization utility

BenchmarkUtils - class in jline.bench

Utility functions for benchmarking

BenchMQN_FCFS - class in jline.bench.mqn

Benchmark for Mixed Queueing Networks with FCFS scheduling.

BenchMQN_PS - class in jline.bench.mqn

Benchmark for Mixed Queueing Networks with Processor Sharing (PS) scheduling.

BenchMQNTemplate - class in jline.bench.mqn

Template for MQN (Mixed Queueing Network) benchmark implementations.

BenchOQN_FCFS - class in jline.bench.oqn

Benchmark for Open Queueing Networks with FCFS scheduling.

BenchOQN_PS - class in jline.bench.oqn

Benchmark for Open Queueing Networks with Processor Sharing (PS) scheduling.

BenchOQNTemplate - class in jline.bench.oqn

Template for OQN (Open Queueing Network) benchmark implementations.

BERNOULLI - enum entry in jline.lang.constant.ProcessType

Bernoulli - class in jline.lang.processes

A Bernoulli distribution for modeling binary random variables.

BethePermanent - class in jline.lib.perm

Implementation of Sum Product Algorithm (SPA) to approximate the Bethe permanent.

binaryCheck(java.lang.Long,java.lang.Integer) - function in jline.lib.lti.cme

binHist(jline.util.matrix.Matrix,int,int) - function in jline.util.Maths

Implementation of MATLAB "hist": puts elements of v into k bins

binom(java.lang.Integer,java.lang.Integer) - function in jline.lib.lti.abatewhitt

BINOMIAL - enum entry in jline.lang.constant.ProcessType

Binomial - class in jline.lang.processes

A Binomial distribution

binomialCoeff(int,int) - function in jline.util.Maths

Computes the binomial coefficient "n choose k" by doing the work in log-space then exponentiating with FastMath.exp().

BlockingAfterService - enum entry in jline.lang.constant.DropStrategy

BlockingBeforeService - enum entry in jline.lang.constant.DropStrategy

BMAP - enum entry in jline.lang.constant.ProcessType

BMAP - class in jline.lang.processes

A Batch Markovian Arrival Process (BMAP) BMAP is a point process where arrivals occur in batches.

bmap_sample(jline.util.matrix.Matrix,jline.util.matrix.Matrix,kotlin.Array,java.lang.Long,java.util.Random) - function in jline.api.mam.Map_sampleKt

Generates samples from a BMAP using D0, D1_total, and individual Dk matrices.

bmap_sample(jline.util.matrix.MatrixCell,java.lang.Long,java.util.Random) - function in jline.api.mam.Map_sampleKt

Generates samples from a BMAP (Batch Markovian Arrival Process).

BmapSample - class in jline.api.mam

Result of BMAP sampling containing inter-arrival time and batch size.

BootstrapResults - class in jline.api.trace

Data classes for bootstrap results

BOUND_TO - enum entry in jline.io.ModelVisualizer.EdgeType

boundTo(java.lang.String) - function in jline.lang.layered.Activity

boundTo(jline.lang.layered.Entry) - function in jline.lang.layered.Activity

BRANCH - enum entry in jline.lib.kpctoolbox.aph.ConvolutionPattern

broadcast(java.lang.String) - function in org.java_websocket.server.WebSocketServer

broadcastColPlusRow(jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.util.matrix.Matrix

Computes the element-wise sum of a column vector and a row vector, producing a matrix where each entry (i, j) is the sum of colVector[i] and rowVector[j].

Buffer - class in jline.lang.sections

Input buffer of a station

build_index(java.lang.Integer,java.lang.Integer) - function in jline.lib.fjcodes.FJUtilsKt

Build combinatorial index patternsGenerates all ways to distribute 'cr' items into 'm' bins.

build_SA(jline.lib.fjcodes.FJService,jline.lib.fjcodes.FJServiceH,java.lang.Integer) - function in jline.lib.fjcodes.BuildSAKt

Build state transition matrices S and A_jumpConstructs the transition rate matrices for the FJ queue:

S: Phase changes within each level (no job completions)
A_jump: Transitions due to job completions

build_Service_h(jline.lib.fjcodes.FJService) - function in jline.lib.fjcodes.BuildServiceHKt

Build service representation for a 2-node FJ jobThis function constructs the Phase-Type (PH) representation for the service time of a 2-node Fork-Join job, which is the maximum of two independent service times.

buildGraph() - function in jline.io.ModelVisualizer

Builds a JUNG graph from the underlying model.

buildLayers() - function in jline.solvers.ln.SolverLN

buildLayersRecursive(int,java.util.List,boolean) - function in jline.solvers.ln.SolverLN

BuildSAKt - class in jline.lib.fjcodes

BuildServiceHKt - class in jline.lib.fjcodes

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