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B

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.
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.wkflow.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
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
 
BootstrapResults - class in jline.api.trace
Data classes for bootstrap results
boundTo(java.lang.String) - function in jline.lang.layered.Activity
 
boundTo(jline.lang.layered.Entry) - function in jline.lang.layered.Activity
 
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
buildLayers() - function in jline.solvers.ln.SolverLN
 
buildLayersRecursive(int,java.util.List,boolean) - function in jline.solvers.ln.SolverLN
 
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