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- laguerre - class in jline.lib.lti
- Laguerre(org.apache.commons.math3.analysis.UnivariateFunction,java.lang.Integer) - function in jline.lib.lti.laguerre
- laplace_result(org.apfloat.Apcomplex) - function in jline.lib.lti.abatewhitt
- laplace_result(java.lang.Double) - function in jline.lib.lti.gaverstehfest
- laplaceapprox_h(jline.util.matrix.Matrix,jline.util.SerializableFunction) - function in jline.util.Maths
- laplaceapprox_h_complex(jline.util.matrix.Matrix,jline.util.SerializableFunction) - function in jline.util.Maths
- LayeredCQExamples - class in jline.examples.java.advanced
- Examples demonstrating layered queueing networks with contention queues (CQ).
- LayeredCQModel - class in jline.examples.java.advanced
- Model definitions for Layered CQ (Contention Queue) examples.
- LayeredExamples - class in jline.examples.java.basic
- Layered network examples mirroring the Kotlin notebooks in layeredModel.
- LayeredModel - class in jline.examples.java.basic
- Examples of layered networks
- LayeredNetwork - class in jline.lang.layered
- LayeredNetwork represents a layered queueing network (LQN) model for performance analysis of distributed and multi-tiered software systems.
- LayeredNetworkAvgTable - class in jline.solvers
- LayeredNetworkElement - class in jline.lang.layered
- Element of a LayeredNetwork model
- LayeredNetworkStruct - class in jline.lang.layered
- Class summarizing the characteristics of a LayeredNetwork
- LayeredSolverResult - class in jline.solvers
- Result container for layered queueing network solver analysis.
- LCFS - enum entry in jline.lang.constant.SchedStrategy
Last Come First Serve - most recent arrival served first (non-preemptive)
- LCFSPR - enum entry in jline.lang.constant.SchedStrategy
Last Come First Serve Preemptive Resume - arriving job preempts current service
- lcq_singlehost() - function in jline.examples.java.advanced.LayeredCQExamples
- Demonstrates a layered CQ model with a single host (lcq_singlehost.ipynb).
- lcq_singlehost() - function in jline.examples.java.advanced.LayeredCQModel
- Model for lcq_singlehost.ipynb - matches MATLAB lcq_singlehost.
- lcq_singlehost() - function in jline.examples.java.basic.CacheModel
- Layered cache queueing model example 1.
- lcq_threehosts() - function in jline.examples.java.advanced.LayeredCQExamples
- Demonstrates a layered CQ model with three hosts (lcq_threehosts.ipynb).
- lcq_threehosts() - function in jline.examples.java.advanced.LayeredCQModel
- Model for lcq_threehosts.ipynb - matches MATLAB lcq_threehosts.
- lcq_threehosts() - function in jline.examples.java.basic.CacheModel
- Layered cache queueing model example 2 with multi-level cache and downstream service.
- LD - enum entry in jline.lang.constant.ServiceStrategy
- ld_class_dependence() - function in jline.examples.java.advanced.LoadDependentExamples
- Demonstrates load-dependent behavior with class dependence (ld_class_dependence.ipynb).
- ld_class_dependence() - function in jline.examples.java.advanced.LoadDependentModel
- Class-dependent service capacity model.
- ld_multiserver_fcfs() - function in jline.examples.java.advanced.LoadDependentExamples
- Demonstrates load-dependent multi-server with FCFS discipline (ld_multiserver_fcfs.ipynb).
- ld_multiserver_fcfs() - function in jline.examples.java.advanced.LoadDependentModel
- Basic load-dependent queue with FCFS scheduling.
- ld_multiserver_ps() - function in jline.examples.java.advanced.LoadDependentExamples
- Demonstrates load-dependent multi-server with processor sharing (ld_multiserver_ps.ipynb).
- ld_multiserver_ps() - function in jline.examples.java.advanced.LoadDependentModel
- Three-station network with multiple load-dependent queues.
- ld_multiserver_ps_twoclasses() - function in jline.examples.java.advanced.LoadDependentExamples
- Demonstrates load-dependent PS with two classes (ld_multiserver_ps_twoclasses.ipynb).
- ld_multiserver_ps_twoclasses() - function in jline.examples.java.advanced.LoadDependentModel
- Multi-class load-dependent network with PS scheduling.
- leftMatrixDivide(jline.util.matrix.Matrix) - function in jline.util.matrix.Matrix
- Solves the equation AX = B for X, where A is this matrix and B is the right-hand side.
- length() - function in jline.lang.ClassSwitchMatrix
- length() - function in jline.util.matrix.Matrix
- Returns the length of the matrix, defined as max(rows, cols).
- LEPT - enum entry in jline.lang.constant.SchedStrategy
Longest Expected Processing Time - based on expected remaining service time
- leq(java.lang.Double) - function in jline.api.mapqn.Mapqn_lpmodel.LinearConstraintBuilder
- LI - enum entry in jline.lang.constant.ServiceStrategy
- LINE - class in jline.solvers.auto
- LINE solver - Java/Kotlin implementation equivalent to MATLAB LINE.
- LINE2JSIMG(jline.lang.Network) - function in jline.io.M2M
- Converts a LINE Network model to JSIMG file format with automatic filename generation.
- LINE2JSIMG(jline.lang.Network,java.lang.String) - function in jline.io.M2M
- Converts a LINE Network model to JSIMG file format for use with JMT.
- line_debug(jline.VerboseLevel,java.lang.String) - function in jline.io.InputOutputKt
- Print debug message if verbose level is DEBUG
- line_error(java.lang.String,java.lang.String) - function in jline.io.InputOutputKt
- line_warning(java.lang.String,java.lang.String,java.lang.Object) - function in jline.io.InputOutputKt
- LinearReductionParameters - class in jline.api.mapqn
- Parameters for linear reduction models with phases
- LineCLI - class in jline.cli
- The LineCLI class provides a command-line interface for configuring and running the LINE Solver.
- LineDockerClient - class in jline.cli
- A client for sending layered network models to a Docker-based LINE server.
- lineTempName(java.lang.String) - function in jline.io.SysUtilsKt
- Creates a temporary directory within a workspace for a solver.
- LineWebSocketClient - class in jline.cli
- LineWebSocketClient is a WebSocket client used to communicate with the LINE Solver server.
- LineWebSocketServer - class in jline.cli
- LineWebSocketServer is a WebSocket server that receives client connections, processes incoming messages, and interacts with the LINE Solver.
- link(jline.lang.RoutingMatrix) - function in jline.lang.Network
- Linkage - class in jline.lang.sections
- Output section of a Place in a Stochastic Petri net model
- linkAndLog(jline.lang.RoutingMatrix,kotlin.Array,java.lang.String) - function in jline.lang.Network
- Links the network with logging capability Creates Logger nodes before and after specified stations and updates routing matrix
- linSpace(double,double,int) - function in jline.util.Maths
- listValidMethods() - function in jline.solvers.ctmc.SolverCTMC
- listValidMethods() - function in jline.solvers.fluid.SolverFluid
- List all valid solution methods supported by this solver
- listValidMethods() - function in jline.solvers.jmt.SolverJMT
- listValidMethods(jline.lang.Network) - function in jline.solvers.jmt.SolverJMT
- listValidMethods() - function in jline.solvers.lqns.SolverLQNS
- listValidMethods(jline.lang.Network) - function in jline.solvers.lqns.SolverLQNS
- listValidMethods() - function in jline.solvers.mam.SolverMAM
- listValidMethods(jline.lang.Network) - function in jline.solvers.mam.SolverMAM
- listValidMethods() - function in jline.solvers.mva.SolverMVA
- List all valid solution methods supported by this solver
- listValidMethods() - function in jline.solvers.nc.SolverNC
- List all valid solution methods for this solver
- listValidMethods() - function in jline.solvers.qns.SolverQNS
- List valid methods for this solver
- listValidMethods() - function in jline.solvers.ssa.SolverSSA
- listValidMethods(jline.lang.Network) - function in jline.solvers.ssa.SolverSSA
- listValidOptions() - function in jline.solvers.Solver
- Returns lists of valid options and methods supported by solvers.
- listValidOptions() - function in jline.solvers.Solver
- Returns lists of valid options and methods supported by solvers.
- LJF - enum entry in jline.lang.constant.SchedStrategy
Longest Job First - jobs with largest service requirement served first
- LN - enum entry in jline.lang.constant.SolverType
- LNOptions - class in jline.solvers.ln
- load(java.lang.String) - function in jline.lang.layered.LayeredNetwork
- Loads a layered queueing network from an XML file with default verbose setting.
- load(java.lang.String,boolean) - function in jline.lang.layered.LayeredNetwork
- Loads a layered queueing network from an XML file.
- load(java.lang.String) - function in jline.solvers.auto.LINE
- Loads a Network model from a file.
- load(java.lang.String,boolean) - function in jline.solvers.auto.LINE
- Loads a Network model from a file with optional verbose output.
- load(java.lang.String,jline.lang.Network,kotlin.Array) - function in jline.solvers.auto.LINE
- Static factory method to create and configure a solver based on the chosen method This matches the MATLAB LINE.
- loadBaseline(java.lang.String) - function in jline.bench.BenchmarkRegression
- Load regression baseline from file
- LoadDependentExamples - class in jline.examples.java.advanced
- Examples demonstrating load-dependent queueing behavior.
- LoadDependentModel - class in jline.examples.java.advanced
- Examples of models with load-dependent stations
- LOCAL - enum entry in jline.lang.constant.EventType
- log() - function in jline.util.matrix.Matrix
- Applies the natural logarithm element-wise.
- logBinomial(int,int) - function in jline.util.Maths
- Computes log(n choose k) = log Γ(n+1) − log Γ(k+1) − log Γ(n−k+1).
- Logger - enum entry in jline.lang.constant.NodeType
Logger node - records job passage for monitoring
- Logger - class in jline.lang.nodes
- A node that logs passage of jobs
- LoggerNodeParam - class in jline.lang.nodeparam
- Parameter container for logger nodes in queueing networks.
- logmeanexp(jline.util.matrix.Matrix) - function in jline.util.Maths
- LOGNORMAL - enum entry in jline.lang.constant.ProcessType
- Lognormal - class in jline.lang.processes
- A Lognormal distribution.
- logSpace(double,double,int) - function in jline.util.Maths
- logSpacei(int,int,int) - function in jline.util.Maths
- Generates an integer list of n logarithmically spaced values.
- logSum(jline.util.matrix.Matrix) - function in jline.util.matrix.Matrix
- Computes the sum of the natural logarithms of all elements in the matrix.
- logsumexp(jline.util.matrix.Matrix) - function in jline.util.matrix.Matrix
- Computes log(sum_i exp(x_i)) in a numerically stable way (log-sum-exp trick).
- LogTunnel - class in jline.lang.sections
- A section that forwards jobs without introducing delays in a Log node
- lookupSimple(java.lang.String) - function in jline.util.matrix.MatrixEquation
- Retrieves a matrix result from the equation context by variable name.
- Loop(java.lang.String,java.lang.String,java.lang.String,double) - function in jline.lang.layered.ActivityPrecedence
- Creates an ActivityPrecedence object representing a loop relationship.
- Loop(java.lang.String,java.lang.String,java.lang.String,jline.util.matrix.Matrix) - function in jline.lang.layered.ActivityPrecedence
- Creates an ActivityPrecedence object representing a loop relationship.
- Loop(java.lang.String,java.util.List,double) - function in jline.lang.layered.ActivityPrecedence
- Creates an ActivityPrecedence object representing a loop relationship.
- Loop(java.lang.String,java.util.List,java.lang.String,jline.util.matrix.Matrix) - function in jline.lang.layered.ActivityPrecedence
- Loop(java.lang.String,java.util.List,jline.util.matrix.Matrix) - function in jline.lang.layered.ActivityPrecedence
- Creates an ActivityPrecedence object representing a loop relationship.
- Loop(jline.lang.layered.Activity,java.util.List,double) - function in jline.lang.layered.ActivityPrecedence
- Creates an ActivityPrecedence object representing a loop relationship.
- Loop(jline.lang.layered.Activity,java.util.List,jline.lang.layered.Activity,jline.util.matrix.Matrix) - function in jline.lang.layered.ActivityPrecedence
- Loop(jline.lang.layered.Activity,java.util.List,jline.util.matrix.Matrix) - function in jline.lang.layered.ActivityPrecedence
- Creates an ActivityPrecedence object representing a loop relationship.
- Loop(jline.lang.layered.Activity,jline.lang.layered.Activity,jline.lang.layered.Activity,double) - function in jline.lang.layered.ActivityPrecedence
- Creates an ActivityPrecedence object representing a loop relationship.
- Loop(jline.lang.layered.Activity,jline.lang.layered.Activity,jline.lang.layered.Activity,jline.util.matrix.Matrix) - function in jline.lang.layered.ActivityPrecedence
- Creates an ActivityPrecedence object representing a loop relationship.
- lossn_erlangfp(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.lossn.Lossn_erlangfpKt
- This method calculates the Erlang fixed point approximation for loss networks.
- Lossn_erlangfpKt - class in jline.api.lossn
- LQN2LINE(java.lang.String) - function in jline.io.M2M
- Converts an LQN/LQNX (Layered Queueing Network) model file to a LayeredNetwork object.
- LQN2LINE(java.lang.String,java.lang.String) - function in jline.io.M2M
- Converts an LQN/LQNX (Layered Queueing Network) model file to a LayeredNetwork object with a custom name.
- lqn_basic() - function in jline.examples.java.basic.LayeredExamples
- Basic layered network (lqn_basic.ipynb).
- lqn_basic() - function in jline.examples.java.basic.LayeredModel
- Basic layered network with multiple processors and synchronous calls.
- lqn_bpmn() - function in jline.examples.java.basic.LayeredExamples
- BPMN-style layered network (lqn_bpmn.ipynb).
- lqn_bpmn() - function in jline.examples.java.basic.LayeredModel
- Complex layered network with fork-join patterns and multiple precedence types.
- lqn_function() - function in jline.examples.java.basic.LayeredExamples
- Function-oriented layered network (lqn_function.ipynb).
- lqn_function() - function in jline.examples.java.basic.LayeredModel
- Layered network with function task demonstrating FaaS/serverless.
- lqn_multi_solvers() - function in jline.examples.java.basic.LayeredExamples
- Multi-solver layered network (lqn_multi_solvers.ipynb).
- lqn_multi_solvers() - function in jline.examples.java.basic.LayeredModel
- Layered network with infinite servers and APH service.
- lqn_ofbiz() - function in jline.examples.java.basic.LayeredExamples
- OFBiz-style layered network (lqn_ofbiz.ipynb).
- lqn_ofbiz() - function in jline.examples.java.basic.LayeredModel
- Large enterprise layered network model (ofbizExample substitute).
- lqn_serial() - function in jline.examples.java.basic.LayeredExamples
- Serial layered network (lqn_serial.ipynb).
- lqn_serial() - function in jline.examples.java.basic.LayeredModel
- Basic layered network with two processors and synchronous calls.
- lqn_twotasks() - function in jline.examples.java.basic.LayeredExamples
- Two-task layered network (lqn_twotasks.ipynb).
- lqn_twotasks() - function in jline.examples.java.basic.LayeredModel
- Layered network with multiple entries and synchronous calls.
- lqn_workflows() - function in jline.examples.java.basic.LayeredExamples
- Workflow layered network (lqn_workflows.ipynb).
- lqn_workflows() - function in jline.examples.java.basic.LayeredModel
- Layered network demonstrating loop and fork-join precedence patterns.
- LQNS - enum entry in jline.lang.constant.SolverType
- LQNSOptions - class in jline.solvers.lqns
- LRU - enum entry in jline.lang.constant.ReplacementStrategy
- lrummapTime(kotlin.DoubleArray,kotlin.Array,kotlin.Array,jline.util.matrix.Matrix,java.lang.Integer,java.lang.Integer) - function in jline.api.cache.Cache_t_lrum_mapKt
- lsnMaxMultiplicity(jline.lang.layered.LayeredNetworkStruct) - function in jline.api.lsn.LsnMaxMultiplicityKt
- Computes the maximum multiplicity (number of concurrent instances) that can be sustained by each task in a layered network while respecting capacity constraints.
- LsnMaxMultiplicityKt - class in jline.api.lsn
- lyap(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.util.matrix.Matrix
- Computes the solution to the continuous-time Lyapunov equation AX + XAᵀ + Q = 0.