L-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

L

lagCorrelationsFromDMAP(jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Integer,java.lang.Double) - function in jline.lib.butools.dmap.LagCorrelationsFromDMAPKt: Returns the lag autocorrelations of a discrete Markovian arrival process.
LagCorrelationsFromDMAPKt - class in jline.lib.butools.dmap
lagCorrelationsFromDRAP(jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Integer,java.lang.Double) - function in jline.lib.butools.dmap.LagCorrelationsFromDRAPKt: Returns the lag autocorrelations of a discrete rational arrival process.
LagCorrelationsFromDRAPKt - class in jline.lib.butools.dmap
lagCorrelationsFromMAP(jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Integer) - function in jline.lib.butools.map.LagCorrelationsFromMAPKt: Returns the lag autocorrelations of a Markovian arrival process.
LagCorrelationsFromMAPKt - class in jline.lib.butools.map
lagCorrelationsFromRAP(jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Integer) - function in jline.lib.butools.map.LagCorrelationsFromMAPKt: Returns the lag autocorrelations of a rational arrival process.
lagCorrelationsFromTrace(kotlin.DoubleArray,java.lang.Integer) - function in jline.lib.butools.trace.LagCorrelationsFromTraceKt: Returns the lag-k autocorrelation of a trace.
LagCorrelationsFromTraceKt - class in jline.lib.butools.trace
lagkJointMomentsFromDMAP(jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Integer,java.lang.Integer,java.lang.Double) - function in jline.lib.butools.dmap.LagkJointMomentsFromDMAPKt: Returns the lag-L joint moments of a discrete Markovian arrival process.
LagkJointMomentsFromDMAPKt - class in jline.lib.butools.dmap
lagkJointMomentsFromDMMAP(jline.util.matrix.MatrixCell,java.lang.Integer,java.lang.Integer,java.lang.Double) - function in jline.lib.butools.dmap.LagkJointMomentsFromDMMAPKt: Returns the lag-L joint moments of a discrete marked Markovian arrival process.
lagkJointMomentsFromDMMAP(kotlin.Array,java.lang.Integer,java.lang.Integer,java.lang.Double) - function in jline.lib.butools.dmap.LagkJointMomentsFromDMMAPKt: Overload for Array<Matrix>.
LagkJointMomentsFromDMMAPKt - class in jline.lib.butools.dmap
lagkJointMomentsFromDMRAP(jline.util.matrix.MatrixCell,java.lang.Integer,java.lang.Integer,java.lang.Double) - function in jline.lib.butools.dmap.LagkJointMomentsFromDMRAPKt: Returns the lag-L joint moments of a discrete marked rational arrival process.
lagkJointMomentsFromDMRAP(kotlin.Array,java.lang.Integer,java.lang.Integer,java.lang.Double) - function in jline.lib.butools.dmap.LagkJointMomentsFromDMRAPKt: Overload for Array<Matrix>.
LagkJointMomentsFromDMRAPKt - class in jline.lib.butools.dmap
lagkJointMomentsFromDRAP(jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Integer,java.lang.Integer,java.lang.Double) - function in jline.lib.butools.dmap.LagkJointMomentsFromDRAPKt: Returns the lag-L joint moments of a discrete rational arrival process.
LagkJointMomentsFromDRAPKt - class in jline.lib.butools.dmap
lagkJointMomentsFromTrace(kotlin.DoubleArray,java.lang.Integer) - function in jline.lib.butools.trace.LagCorrelationsFromTraceKt: Returns the lag-k joint moments of a trace.
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)
LCFSPI - enum entry in jline.lang.constant.SchedStrategy: Last Come First Serve Preemptive Independent - arriving job preempts and service restarts from beginning
LCFSPIPRIO - enum entry in jline.lang.constant.SchedStrategy: Last Come First Served Preemptive Independent with Priority - LCFSPI with priority classes
LCFSPR - enum entry in jline.lang.constant.SchedStrategy: Last Come First Serve Preemptive Resume - arriving job preempts current service
LCFSPRIO - enum entry in jline.lang.constant.SchedStrategy: Last Come First Served with Priority - LCFS with priority classes
LCFSPRPRIO - enum entry in jline.lang.constant.SchedStrategy: Last Come First Served Preemptive Resume with Priority - LCFSPR with priority classes
LcfsqnCaResult - class in jline.api.pfqn.lcfs: Result class for LCFS convolution algorithm
LcfsqnMvaResult - class in jline.api.pfqn.lcfs: Result class for LCFS MVA algorithm
LcfsqnNcResult - class in jline.api.pfqn.lcfs: Result class for LCFS NC algorithm
lcq_async_prefetch() - function in jline.examples.java.basic.CacheModel: Layered cache queueing model with asynchronous (non-blocking) cache access.
lcq_async_vs_sync_comparison() - function in jline.examples.java.basic.CacheModel: Comparison of synchronous vs asynchronous cache access patterns.
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.
ldqbd(java.util.List,java.util.List,java.util.List,jline.api.mam.LdqbdOptions) - function in jline.api.mam.LdqbdKt: Solves level-dependent QBD processes using matrix continued fractions.
LdqbdAlgo - class in jline.api.mam: LDQBD solver algorithms for level-dependent Quasi-Birth-Death processes.
LdqbdKt - class in jline.api.mam
LdqbdOptions - class in jline.api.mam: Options for LDQBD solver.
LdqbdResult - class in jline.api.mam: Result of LDQBD solver containing rate matrices and stationary distribution.
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.solvers.mva.ProbabilityResult: Get the length of the probability distribution.
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
LikelihoodFromTraceKt - class in jline.lib.butools.fitting
likelihoodFromTraceMAP(kotlin.DoubleArray,jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Double) - function in jline.lib.butools.fitting.LikelihoodFromTraceKt: Evaluates the log-likelihood of a trace with the given MAP.
likelihoodFromTracePH(kotlin.DoubleArray,jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Double) - function in jline.lib.butools.fitting.LikelihoodFromTraceKt: Evaluates the log-likelihood of a trace with the given PH distribution or MAP.
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
LinearSolver - class in jline.lib.mom.solver: Linear solver implementation for MOM using double precision arithmetic This is a port of the MATLAB linear.
LinearSystemMatrices - class in jline.lib.mom.solver: Container for the linear system matrices used in MOM solver
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.ctmc.SolverCTMC
listValidMethods() - function in jline.solvers.des.SolverDES: Returns the list of valid solution methods for DES.
listValidMethods() - function in jline.solvers.des.SolverDES: Returns the list of valid solution methods for DES.
listValidMethods(jline.lang.Network) - function in jline.solvers.des.SolverDES: Returns the list of valid solution methods for DES.
listValidMethods(jline.lang.Network) - function in jline.solvers.des.SolverDES: Returns the list of valid solution methods for DES.
listValidMethods() - function in jline.solvers.env.SolverENV: Returns the list of valid solution methods supported by this solver.
listValidMethods() - function in jline.solvers.env.SolverENV: Returns the list of valid solution methods supported by this solver.
listValidMethods() - function in jline.solvers.fluid.SolverFluid: List all valid solution methods supported by this solver
listValidMethods() - function in jline.solvers.fluid.SolverFluid: List all valid solution methods supported by this solver
listValidMethods() - function in jline.solvers.jmt.SolverJMT
listValidMethods() - function in jline.solvers.jmt.SolverJMT
listValidMethods(jline.lang.Network) - function in jline.solvers.jmt.SolverJMT
listValidMethods(jline.lang.Network) - function in jline.solvers.jmt.SolverJMT
listValidMethods() - function in jline.solvers.lqns.SolverLQNS
listValidMethods() - function in jline.solvers.lqns.SolverLQNS
listValidMethods(jline.lang.Network) - function in jline.solvers.lqns.SolverLQNS
listValidMethods(jline.lang.Network) - function in jline.solvers.lqns.SolverLQNS
listValidMethods() - function in jline.solvers.mam.SolverMAM
listValidMethods() - function in jline.solvers.mam.SolverMAM
listValidMethods(jline.lang.Network) - 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.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.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.qns.SolverQNS: List valid methods for this solver
listValidMethods() - function in jline.solvers.ssa.SolverSSA
listValidMethods() - function in jline.solvers.ssa.SolverSSA
listValidMethods(jline.lang.Network) - 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
LN - class in jline.solvers.ln: LN is an alias for SolverLN (Layered Network solver).
LNDESResult - class in jline.solvers.des: Result container for LayeredNetwork DES simulation.
LNOptions - class in jline.solvers.ln
load(java.lang.String) - function in jline.io.WfCommonsLoader: Load a WfCommons JSON file into a Workflow object.
load(java.lang.String,jline.io.WfCommonsOptions) - function in jline.io.WfCommonsLoader: Load a WfCommons JSON file with options.
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
loadFromString(java.lang.String) - function in jline.io.WfCommonsLoader: Load a workflow from a JSON string.
loadFromString(java.lang.String,jline.io.WfCommonsOptions) - function in jline.io.WfCommonsLoader: Load a workflow from a JSON string with options.
loadFromUrl(java.lang.String) - function in jline.io.WfCommonsLoader: Load a WfCommons JSON file from a URL.
loadFromUrl(java.lang.String,jline.io.WfCommonsOptions) - function in jline.io.WfCommonsLoader: Load a WfCommons JSON file from a URL with options.
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(java.lang.Double,java.lang.Double,java.lang.Integer) - function in jline.lib.kpctoolbox.basic.BasicUtilsKt: Generates logarithmically spaced integers in a, b.
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.
Loop(jline.lang.workflow.WorkflowActivity,java.util.List,double) - function in jline.lang.workflow.Workflow
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
LPS - enum entry in jline.lang.constant.SchedStrategy: Least Progress Scheduling - hybrid PS/FCFS with max concurrent jobs limit
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
LQNS - class in jline.solvers.lqns: LQNS is an alias for SolverLQNS (Layered Queueing Network Solver).
LQNSOptions - class in jline.solvers.lqns
LRPT - enum entry in jline.lang.constant.SchedStrategy: Longest Remaining Processing Time - priority to jobs with longest remaining time
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.

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