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- 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