A B C D E F G H I J K L M N O P Q R S T U V W Z

## 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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