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S

save - Variable in class jphase.GUI.PhaseGOF
 
save() - Method in class jphase.PhaseVarSet
 
save(String) - Method in class jphase.PhaseVarSet
 
saveB - Variable in class jphase.GUI.PhaseGOF
 
saveFile() - Method in class jmarkov.gui.TextPanel
Calls the save dialog.
saveFileToVector(String) - Static method in class jphase.values.ReaderWriter
Given a route that contains, this method reads a file located a ´ruta´ and stores it in Double Vector
saveTxt() - Method in class jphase.PhaseVarSet
Saves the set information in a file
saveTxt(String) - Method in class jphase.PhaseVarSet
Saves the set information in a file
scalar() - Method in class jphase.MarkovMatrix
 
scalar(Matrix) - Static method in class jphase.MatrixUtils
Returns the value of the position (0,0) in the matrix, if its number of columns is equal to one (1)
services - Variable in class jphase.GUI.NewQueueDialog
 
set(S, A) - Method in class jmarkov.basic.DecisionRule
Maps a given action to a given state
set(S, double) - Method in class jmarkov.basic.ValueFunction
Associates a state and a double value
setAlphas(double[]) - Method in class jphase.HyperErlangVar
 
setAutoShow(boolean) - Method in class jmarkov.gui.TextPanel
Sets whether append should call showText.
setCantidad(int) - Method in class jphase.values.GenerationResult
 
setChi2(double) - Method in class jphase.values.FitResult
 
setConverter(CT2DTConverter<S, A>) - Method in class jmarkov.jmdp.CTMDP
Sets the class in charge of making a DTMDP equivalent to the CTMDP
setCurLevel(int) - Method in class jmarkov.DebugReporter
Sets the debug level, where level=0 means no debug info, level = 5 verbose info.
setCurrentIterSolver(MtjSolver.EnumSolver) - Method in class jmarkov.solvers.MtjSolver
Sets the solver to use.
setCurrentPreConditioner(MtjSolver.EnumPrecond) - Method in class jmarkov.solvers.MtjSolver
 
setData(double[]) - Method in class jphase.values.FitResult
 
setDebugLevel(int) - Method in class jmarkov.DebugReporter
Sets the debug level, where level=0 means no debug info, level = 5 verbose info.
setDebugLevel(int) - Method in class jmarkov.jmdp.MDP
Sets teh current level
setDebugLevel(int) - Method in class jmarkov.MarkovProcess
Sets the debug level, where level=0 means no debug info, level = 5 verbose info.
setDebugReporter(DebugReporter) - Method in class jmarkov.MarkovProcess
Sets the DebugReporter to use.
setDecisionRule(DecisionRule<S, A>, int) - Method in class jmarkov.basic.Policy
Sets a decision rule for stage t in the policy
setDecisionRule(DecisionRule<S, A>) - Method in class jmarkov.basic.Policy
Sets a unique decision rule for the policy, for infinite horizon problems.
setDistribucion(IDistribution) - Method in class jphase.GeneratorLEcuyer
 
setDistribucion(String, ArrayList<Double>) - Method in class jphase.GeneratorLEcuyer
 
setDistribucion(IDistribution) - Method in class jphase.values.FitResult
 
setDistribucion(Distribution) - Method in class jphase.values.GenerationResult
 
setEpsilon(double) - Method in class jmarkov.jmdp.solvers.ValueIterationSolver
Value Iteration is a solver method this is theoretically convergent only after infinite iterations.
setFactor(double) - Method in class jmarkov.jmdp.solvers.RelativeValueIterationSolver
Sets the factor for the modified relative value iteration method.
setGaussSeidel(boolean) - Method in class jmarkov.jmdp.solvers.ProbabilitySolver
The GaussSeidel modification of the ValueIteration method is a change that is garanteed to have a performance at least as good as the methods without the modifications.
setGenerador(RandomVariateGen) - Method in class jphase.GeneratorLEcuyer
 
setGeometrixSolver(GeometricSolver) - Method in class jmarkov.GeomProcess
Allows the user to set an alternate solver.
setGroups(int) - Method in class jphase.values.FitResult
 
setIncreasingFactor(double) - Method in class jmarkov.jmdp.solvers.PolicyIterationSolver
Sets the increasing factor of the maximum iterations of the Modified policy iteration method.
setInitialIterations(int) - Method in class jmarkov.jmdp.solvers.PolicyIterationSolver
Sets maximum iterations for the first run of the modified policy iteration.
setInterestRate(double) - Method in class jmarkov.jmdp.solvers.AbstractDiscountedSolver
Sets a new Interest Rate
setIterSolver(MtjSolver.EnumSolver, boolean) - Method in class jmarkov.solvers.MtjSolver
Sets the solver to use.
setJacobi(boolean) - Method in class jmarkov.jmdp.solvers.ProbabilitySolver
 
setKs(double) - Method in class jphase.values.FitResult
 
setLambda(double) - Method in class jmarkov.jqbd.solvers.QBDPhaseSolver
Sets the arrival rate
setLambdas(double[]) - Method in class jphase.HyperErlangVar
 
setLambdas(double[]) - Method in class jphase.HypoExponentialVar
Sets the rates associated to each branch
setLambdaX1(double) - Method in class jphase.ErlangCoxianVar
 
setLambdaX2(double) - Method in class jphase.ErlangCoxianVar
 
setLambdaY(double) - Method in class jphase.ErlangCoxianVar
 
setM(int) - Method in class jphase.HyperErlangVar
 
setMatrix(Matrix) - Method in class jphase.DenseContPhaseVar
 
setMatrix(Matrix) - Method in class jphase.DenseDiscPhaseVar
 
setMatrix(Matrix) - Method in class jphase.ErlangCoxianVar
 
setMatrix(Matrix) - Method in class jphase.HyperErlangVar
 
setMatrix(Matrix) - Method in class jphase.HypoExponentialVar
 
setMatrix(Matrix) - Method in interface jphase.PhaseVar
Sets the transition matrix of the Phase-type distribution to be A
setMatrix(Matrix) - Method in class jphase.SparseContPhaseVar
 
setMatrix(Matrix) - Method in class jphase.SparseDiscPhaseVar
 
setMaxStates(long) - Method in class jmarkov.MarkovProcess
Sets the maximum number of states to generate.
setModifiedPolicy(boolean) - Method in class jmarkov.jmdp.solvers.PolicyIterationSolver
Activates the modified policy iteration algorithm.
setMOP(int, double) - Method in class jmarkov.basic.State
Sets the value of this MOP.
setMOP(MarkovProcess<?, ?>, String, double) - Method in class jmarkov.basic.State
Sets the value of the MOP with this name.
setMOP(MarkovProcess, String, double) - Method in class jmarkov.GeomState
 
setMOPs(String[]) - Method in class jmarkov.MarkovProcess
Sets the names of all MOPs (measures of performance).
setMP(MarkovProcess) - Method in class jmarkov.gui.InfoPanel
Sets the MarkovProcess and shows the corresponding information.
setN(int) - Method in class jphase.ErlangCoxianVar
 
setN(int) - Method in class jphase.GeneratorLEcuyer
 
setN(int) - Method in class jphase.HyperErlangVar
 
setNombre(String) - Method in class jphase.GeneratorLEcuyer
Sets the name of the distribution
setNombre(String) - Method in class jphase.values.FitResult
 
setP(double) - Method in class jphase.ErlangCoxianVar
 
setP(double) - Method in class jphase.values.FitResult
 
setPrintBias(boolean) - Method in class jmarkov.jmdp.solvers.PolicyIterationSolverAvg
 
setPrintBias(boolean) - Method in class jmarkov.jmdp.solvers.RelativeValueIterationSolver
 
setPrintBias(boolean) - Method in class jmarkov.jmdp.solvers.ValueIterationSolver
 
setPrintGain(boolean) - Method in class jmarkov.jmdp.solvers.PolicyIterationSolverAvg
 
setPrintGain(boolean) - Method in class jmarkov.jmdp.solvers.RelativeValueIterationSolver
 
setPrintGain(boolean) - Method in class jmarkov.jmdp.solvers.ValueIterationSolver
 
setPrintProcessTime(boolean) - Method in class jmarkov.jmdp.solvers.Solver
Option to print the time spent solving the problem.
setPrintValueFunction(boolean) - Method in class jmarkov.jmdp.solvers.RelativeValueIterationSolver
 
setPrintValueFunction(boolean) - Method in class jmarkov.jmdp.solvers.Solver
Option to print the final value function for each state.
setProbabilitySolver(ProbabilitySolver<S, A>) - Method in class jmarkov.jmdp.DTMDP
 
setPx(double) - Method in class jphase.ErlangCoxianVar
 
setR(int[]) - Method in class jphase.HyperErlangVar
 
setRandomStream(RandomStream) - Method in class jphase.GeneratorLEcuyer
 
setReporter(DebugReporter) - Method in class jmarkov.jmdp.MDP
 
setRuta(String) - Method in class jphase.GeneratorLEcuyer
 
setRuta(String) - Method in class jphase.values.GenerationResult
 
setShowXpressOutput(boolean) - Method in class jmarkov.jmdp.solvers.MPSXpressDiscounted
St this to true if you want to capture Xpress output.
setSolver(Solver<S, A>) - Method in class jmarkov.jmdp.MDP
 
setSqrError(double) - Method in class jphase.values.FitResult
 
setSteadyStateSolver(SteadyStateSolver) - Method in class jmarkov.MarkovProcess
Allows the user to set an alternate solver.
setTabEnabled(JComponent, boolean) - Static method in class jmarkov.gui.GuiUtils
Utility Function to enable/disable the tab associated with this component
setTabEnabled(JComponent, boolean) - Method in class jmarkov.gui.MarkovGUI
Utility Function to enable/disable the tab associated with this component
setText(String) - Method in class jmarkov.gui.TextPanel
Sets the text (deleting whatever was there)
setText(String, boolean) - Method in class jmarkov.gui.TextPanel
 
setTransientSolver(TransientSolver) - Method in class jmarkov.MarkovProcess
Allows the user to set an alternate solver.
setTryOthers(boolean) - Method in class jmarkov.solvers.MtjSolver
Sets whether the solver shall try other solvers when it fails.
setUbicacion(String) - Method in class jphase.GeneratorLEcuyer
 
setUniforme(String) - Method in class jphase.GeneratorLEcuyer
 
setVar(PhaseVarInfo) - Method in class jphase.values.FitResult
 
setVector(Vector) - Method in class jphase.DenseContPhaseVar
 
setVector(Vector) - Method in class jphase.DenseDiscPhaseVar
 
setVector(Vector) - Method in class jphase.ErlangCoxianVar
 
setVector(Vector) - Method in class jphase.HyperErlangVar
 
setVector(Vector) - Method in class jphase.HypoExponentialVar
 
setVector(Vector) - Method in interface jphase.PhaseVar
Sets the initial probability vector to be alpha
setVector(Vector) - Method in class jphase.SparseContPhaseVar
 
setVector(Vector) - Method in class jphase.SparseDiscPhaseVar
 
showGUI() - Method in class jmarkov.MarkovProcess
Shows the Graphic User Interface (GUI) that represent this Markov Chain.
showTxt() - Method in class jmarkov.gui.TextPanel
Ensures that the last line of text writen is visible.
showXpressOutput() - Method in class jmarkov.jmdp.solvers.MPSXpressDiscounted
Returns true if the solver the captures the Xpress o
SimpleMarkovProcess<S extends State,E extends Event> - Class in jmarkov
 
SimpleMarkovProcess(S, EventsSet<E>, String) - Constructor for class jmarkov.SimpleMarkovProcess
 
SimpleMarkovProcess(S, EventsSet<E>) - Constructor for class jmarkov.SimpleMarkovProcess
 
SimpleMarkovProcess() - Constructor for class jmarkov.SimpleMarkovProcess
 
size() - Method in interface jmarkov.basic.Actions
Returns the number of elements.
size() - Method in class jmarkov.basic.ActionsSet
 
size() - Method in class jmarkov.basic.DecisionRule
Returns the amount of states linked to actions in the decision rule.
size() - Method in interface jmarkov.basic.Events
Returns the number of elements.
size() - Method in class jmarkov.basic.EventsSet
 
size() - Method in interface jmarkov.basic.States
Returns the number of elements.
size() - Method in class jmarkov.basic.StatesSet
 
size() - Method in interface jmarkov.basic.Transitions
Returns the number of Transtions represented by this object.
size() - Method in class jmarkov.basic.TransitionsSet
 
size() - Method in class jphase.MarkovMatrix
 
sizeV - Variable in class jphase.GUI.PhaseGOF
 
Solution<S extends State,A extends Action> - Class in jmarkov.basic
This class represents the joint information of a value function and a policy which summarizes the solution to a problem.
Solution(ValueFunction<S>, Policy<S, A>) - Constructor for class jmarkov.basic.Solution
Builds a solution given a value funtcion and a policy
solve(double) - Method in class jmarkov.jmdp.CTMDP
Solves the problem with the given interest rate
solve(double) - Method in class jmarkov.jmdp.DTMDP
Solves the problem with the given interest rate
solve() - Method in class jmarkov.jmdp.MDP
Solves the problem.
solve() - Method in class jmarkov.jmdp.solvers.FiniteSolver
 
solve() - Method in class jmarkov.jmdp.solvers.LPBCLAverageSolver
Linear Programming Average Solver is a tool that builds the solution based on the MDP's mathematical background given by Puterman and the software provided by XpressMP (BCL libraries).
solve() - Method in class jmarkov.jmdp.solvers.LPBCLDiscountedSolver
 
solve() - Method in class jmarkov.jmdp.solvers.MpsLpAverageSolver
 
solve() - Method in class jmarkov.jmdp.solvers.MpsLpDiscountedSolver
 
solve() - Method in class jmarkov.jmdp.solvers.PolicyIterationSolver
 
solve() - Method in class jmarkov.jmdp.solvers.PolicyIterationSolverAvg
 
solve() - Method in class jmarkov.jmdp.solvers.ProbabilitySolver
Solves the probabilities
solve() - Method in class jmarkov.jmdp.solvers.RelativeValueIterationSolver
 
solve() - Method in class jmarkov.jmdp.solvers.Solver
Called to solve the problem.
solve() - Method in class jmarkov.jmdp.solvers.StochasticShortestPathSolver
 
solve() - Method in class jmarkov.jmdp.solvers.ValueIterationSolver
Solves the problem.
solveLP() - Method in class jmarkov.jmdp.solvers.LPBCLDiscountedSolver
 
solveLP() - Method in interface jmarkov.jmdp.solvers.LPSolver
The implementator classes should override this class to solve the problem using the mpsFile that has been created.
solveLP() - Method in class jmarkov.jmdp.solvers.MpsLpDiscountedSolver
The implementator classes should override this class to solve the problem using the mpsFile that has been created.
solveLP() - Method in class jmarkov.jmdp.solvers.MPSQsOptAverageSolver
 
solveLP() - Method in class jmarkov.jmdp.solvers.MPSQsOptDiscountedSolver
 
solveLP() - Method in class jmarkov.jmdp.solvers.MPSXpressAverage
 
solveLP() - Method in class jmarkov.jmdp.solvers.MPSXpressDiscounted
This is where the actual solving takes place.
Solver<S extends State,A extends Action> - Class in jmarkov.jmdp.solvers
Structural class for every solver.
Solver - Class in jmarkov.solvers
This abstract class has to be extended in order to implement solvers for Steady State and Transient probabilities.
Solver(MarkovProcess) - Constructor for class jmarkov.solvers.Solver
Build a solver for the given SimpleMarkovProcess
SolverException - Exception in jmarkov.basic.exceptions
This exception is thrown by solve methods.
SolverException(String) - Constructor for exception jmarkov.basic.exceptions.SolverException
 
SolverException(String, Throwable) - Constructor for exception jmarkov.basic.exceptions.SolverException
 
solveTranspose(Matrix) - Method in class jphase.MarkovMatrix
Solves X*A = B, actually solved as A'*X' = B'
SparseContPhaseVar - Class in jphase
This class allows the creation and manipulation of Continuous Phase-type distributions represented by sparse (Flexible Compressed Row) matrices.
SparseContPhaseVar(int) - Constructor for class jphase.SparseContPhaseVar
Constructs an empty Continuous Phase-type Distribution of size n with sparse representation (CompRowMatrix)
SparseContPhaseVar(SparseVector, FlexCompRowMatrix) - Constructor for class jphase.SparseContPhaseVar
Constructs a continuous Phase-type Distribution with sparse representation (CompRowMatrix)
SparseContPhaseVar(Vector, Matrix) - Constructor for class jphase.SparseContPhaseVar
Constructs a continuous Phase-type Distribution with sparse representation (CompRowMatrix)
SparseContPhaseVar(double[], double[][]) - Constructor for class jphase.SparseContPhaseVar
Constructs a continuous Phase-type Distribution with sparse representation (CompRowMatrix)
SparseDiscPhaseVar - Class in jphase
This class allows the creation and manipulation of Discrete Phase-type distributions represented by sparse (Flexible Compressed Row) matrices.
SparseDiscPhaseVar(int) - Constructor for class jphase.SparseDiscPhaseVar
Constructs an empty Discrete Phase-type Distribution of size n with sparse representation (FlexCompRowMatrix)
SparseDiscPhaseVar(SparseVector, FlexCompRowMatrix) - Constructor for class jphase.SparseDiscPhaseVar
Constructs a discrete Phase-type Distribution with sparse representation (FlexCompRowMatrix)
SparseDiscPhaseVar(Vector, Matrix) - Constructor for class jphase.SparseDiscPhaseVar
Constructs a discrete Phase-type Distribution with sparse representation (FlexCompRowMatrix)
SparseDiscPhaseVar(double[], double[][]) - Constructor for class jphase.SparseDiscPhaseVar
Constructs a discrete Phase-type Distribution with sparse representation (FlexCompRowMatrix)
SparseMatrixPanel - Class in jmarkov.gui
This class show with a tree all states / actions / Events
SparseMatrixPanel() - Constructor for class jmarkov.gui.SparseMatrixPanel
This method initializes the view.
SparseMatrixPanel(boolean) - Constructor for class jmarkov.gui.SparseMatrixPanel
This method initializes the view.
sqrt(double, double) - Static method in class jphase.fit.FitterUtils
Computes the square root of a double with a predefined precision
start() - Method in class jmarkov.gui.SwingWorker
Start the worker thread.
State - Class in jmarkov.basic
The Class State represent a state in a MarkovProcess or MDP.
State() - Constructor for class jmarkov.basic.State
 
StateC - Class in jmarkov.basic
State to model shortest path problems.
StateC() - Constructor for class jmarkov.basic.StateC
Default constructor
StateC(boolean) - Constructor for class jmarkov.basic.StateC
General constructor.
stateChanged(ChangeEvent) - Method in class jmarkov.gui.MarkovGUI
 
StateEvent<S extends State,E extends Event> - Class in jmarkov.basic
This class represents a state compounded of a state and an event.
StateEvent(S, E) - Constructor for class jmarkov.basic.StateEvent
Builds a new state with the event information
States<S extends State> - Interface in jmarkov.basic
This interface represents a set of objects State.
statesLableMaxWidth(int) - Method in class jmarkov.MarkovProcess
Computes the maximum used by the state's labels.
StatesSet<S extends State> - Class in jmarkov.basic
This class represent a set of States.
StatesSet() - Constructor for class jmarkov.basic.StatesSet
Creates an empty set of States;
StatesSet(S) - Constructor for class jmarkov.basic.StatesSet
Creates set of States with only this State;
StatesSet(Iterable<S>) - Constructor for class jmarkov.basic.StatesSet
Creates a set of objects S from the given States.
StatesSet(S[]) - Constructor for class jmarkov.basic.StatesSet
Creates a set of objects S from a given set of States.
StatesSet(States<S>) - Constructor for class jmarkov.basic.StatesSet
Creates a set of objects S from the given States .
statesToString() - Method in class jmarkov.MarkovProcess
Prints a description of the States and the Equilibrium Probabilities.
stdDeviation() - Method in class jphase.AbstractContPhaseVar
 
stdDeviation() - Method in class jphase.AbstractDiscPhaseVar
 
stdDeviation() - Method in interface jphase.PhaseVar
Computes the Standard deviation of the Phase-type variable
steadyProbabilities() - Method in class jmarkov.GeomProcess
Computes the steady state probabilities for the generated States (up to level 2).
SteadyStateSolver - Class in jmarkov.solvers
An abstract class for steady state solver.
SteadyStateSolver(MarkovProcess) - Constructor for class jmarkov.solvers.SteadyStateSolver
Builds a Steady State Solver with the given SimpleMarkovProcess.
StochasticDemand - Class in examples.jmdp
This class belongs to the examples supplied in the package jmdp.
StochasticDemand(States<InvLevel>, int, int, int, int, double, double, double, double, double, double) - Constructor for class examples.jmdp.StochasticDemand
 
StochasticShortestPath<S extends StateC,A extends Action> - Class in jmarkov.jmdp
This class represents an infinite horizon shortest path problem.
StochasticShortestPath(States<S>) - Constructor for class jmarkov.jmdp.StochasticShortestPath
 
StochasticShortestPathSolver<S extends StateC,A extends Action> - Class in jmarkov.jmdp.solvers
This solver gives a solution for the minimization of the total cost criterion for an infinite horizon MDP.
StochasticShortestPathSolver(StochasticShortestPath<S, A>) - Constructor for class jmarkov.jmdp.solvers.StochasticShortestPathSolver
Default contructor.
streams - Variable in class jphase.distributions.UniformManager
Name of the random number generators
StructureException - Exception in jmarkov.basic.exceptions
This exception is produced in shortest path problems if the conditions for convergence are not met.
StructureException(String) - Constructor for exception jmarkov.basic.exceptions.StructureException
Default constructor.
sum(ContPhaseVar, ContPhaseVar) - Method in class jphase.AbstractContPhaseVar
 
sum(ContPhaseVar) - Method in class jphase.AbstractContPhaseVar
 
sum(DiscPhaseVar, DiscPhaseVar) - Method in class jphase.AbstractDiscPhaseVar
 
sum(DiscPhaseVar) - Method in class jphase.AbstractDiscPhaseVar
 
sum(ContPhaseVar, ContPhaseVar) - Method in interface jphase.ContPhaseVar
Computes the sum of this variable and B
sum(ContPhaseVar) - Method in interface jphase.ContPhaseVar
Computes the sum of this variable and B
sum(DiscPhaseVar, DiscPhaseVar) - Method in interface jphase.DiscPhaseVar
Computes the sum of variables: res = A +B
sum(DiscPhaseVar) - Method in interface jphase.DiscPhaseVar
Computes the sum of variables: res = A +B
sum(double[]) - Static method in class jphase.generator.GeneratorUtils
Returns the sum of the elements of the data array
sumAbs(double[]) - Static method in class jphase.generator.GeneratorUtils
Returns the sum of the absolute values of the elements of the data array
sumGeom(double) - Method in class jphase.AbstractContPhaseVar
 
sumGeom(double) - Method in class jphase.AbstractDiscPhaseVar
 
sumGeom(double) - Method in interface jphase.ContPhaseVar
Returns the sum of a geometric number of independent copies of this variable
sumGeom(double) - Method in interface jphase.DiscPhaseVar
Returns the sum of a geometric number of independent copies of this variable
sumMatPower(Matrix, int, Vector, Vector) - Static method in class jphase.MatrixUtils
Computes the sum of the first k terms of the succesion T^(j-1), from j = 1
sumPH(DiscPhaseVar, ContPhaseVar) - Method in class jphase.AbstractContPhaseVar
 
sumPH(DiscPhaseVar) - Method in class jphase.AbstractContPhaseVar
 
sumPH(DiscPhaseVar, DiscPhaseVar) - Method in class jphase.AbstractDiscPhaseVar
 
sumPH(DiscPhaseVar) - Method in class jphase.AbstractDiscPhaseVar
 
sumPH(DiscPhaseVar, ContPhaseVar) - Method in interface jphase.ContPhaseVar
Returns the sum of a Phase-type-distributed number of Continuous Phase-type distributions
sumPH(DiscPhaseVar) - Method in interface jphase.ContPhaseVar
Returns the sum of a Phase-type-distributed number of Continuous Phase-type distributions
sumPH(DiscPhaseVar, DiscPhaseVar) - Method in interface jphase.DiscPhaseVar
Returns the sum of a Phase-type-distributed number of Discrete Phase-type distributions
sumPH(DiscPhaseVar) - Method in interface jphase.DiscPhaseVar
Returns the sum of a Phase-type-distributed number of Discrete Phase-type distributions
survival(double) - Method in class jphase.AbstractContPhaseVar
 
survival(int, double) - Method in class jphase.AbstractContPhaseVar
 
survival(double) - Method in class jphase.AbstractDiscPhaseVar
 
survival(int, double) - Method in class jphase.AbstractDiscPhaseVar
 
survival(double) - Method in interface jphase.PhaseVar
Evaluates the survival function at x
survival(int, double) - Method in interface jphase.PhaseVar
Evaluates the survival function at n values of x, starting with x=0, step delta
SwingWorker - Class in jmarkov.gui
This is the 3rd version of SwingWorker (also known as SwingWorker 3), an abstract class that you subclass to perform GUI-related work in a dedicated thread.
SwingWorker() - Constructor for class jmarkov.gui.SwingWorker
Start a thread that will call the construct method and then exit.
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