- 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.