Here is a list of all documented functions with links to the class documentation for each member:

- g -

• G() : umontreal.ssj.util.PrintfFormat
• g() : umontreal.ssj.util.PrintfFormat
• GammaAcceptanceRejectionGen() : umontreal.ssj.randvar.GammaAcceptanceRejectionGen
• GammaDist() : umontreal.ssj.probdist.GammaDist
• GammaDistFromMoments() : umontreal.ssj.probdist.GammaDistFromMoments
• GammaGen() : umontreal.ssj.randvar.GammaGen
• GammaProcess() : umontreal.ssj.stochprocess.GammaProcess
• GammaProcessBridge() : umontreal.ssj.stochprocess.GammaProcessBridge
• GammaProcessPCA() : umontreal.ssj.stochprocess.GammaProcessPCA
• GammaProcessPCABridge() : umontreal.ssj.stochprocess.GammaProcessPCABridge
• GammaProcessPCASymmetricalBridge() : umontreal.ssj.stochprocess.GammaProcessPCASymmetricalBridge
• GammaProcessSymmetricalBridge() : umontreal.ssj.stochprocess.GammaProcessSymmetricalBridge
• gammaRatioHalf() : umontreal.ssj.util.Num
• GammaRejectionLoglogisticGen() : umontreal.ssj.randvar.GammaRejectionLoglogisticGen
• gaussLobatto() : umontreal.ssj.functions.MathFunctionUtil
• gcd() : umontreal.ssj.util.Num
• generatePath() : umontreal.ssj.stochprocess.BrownianMotion, umontreal.ssj.stochprocess.BrownianMotionBridge, umontreal.ssj.stochprocess.BrownianMotionPCA, umontreal.ssj.stochprocess.BrownianMotionPCAEqualSteps, umontreal.ssj.stochprocess.CIRProcess, umontreal.ssj.stochprocess.CIRProcessEuler, umontreal.ssj.stochprocess.GammaProcess, umontreal.ssj.stochprocess.GammaProcessBridge, umontreal.ssj.stochprocess.GammaProcessPCA, umontreal.ssj.stochprocess.GammaProcessPCABridge, umontreal.ssj.stochprocess.GammaProcessPCASymmetricalBridge, umontreal.ssj.stochprocess.GammaProcessSymmetricalBridge, umontreal.ssj.stochprocess.GeometricBrownianMotion, umontreal.ssj.stochprocess.GeometricLevyProcess, umontreal.ssj.stochprocess.GeometricVarianceGammaProcess, umontreal.ssj.stochprocess.InverseGaussianProcess, umontreal.ssj.stochprocess.InverseGaussianProcessBridge, umontreal.ssj.stochprocess.InverseGaussianProcessMSH, umontreal.ssj.stochprocess.InverseGaussianProcessPCA, umontreal.ssj.stochprocess.MultivariateBrownianMotion, umontreal.ssj.stochprocess.MultivariateBrownianMotionBridge, umontreal.ssj.stochprocess.MultivariateBrownianMotionPCA, umontreal.ssj.stochprocess.MultivariateBrownianMotionPCABigSigma, umontreal.ssj.stochprocess.MultivariateGeometricBrownianMotion, umontreal.ssj.stochprocess.MultivariateStochasticProcess, umontreal.ssj.stochprocess.NormalInverseGaussianProcess, umontreal.ssj.stochprocess.OrnsteinUhlenbeckProcess, umontreal.ssj.stochprocess.OrnsteinUhlenbeckProcessEuler, umontreal.ssj.stochprocess.OrnsteinUhlenbeckWithIntegratedProcess, umontreal.ssj.stochprocess.StochasticProcess, umontreal.ssj.stochprocess.VarianceGammaProcess, umontreal.ssj.stochprocess.VarianceGammaProcessAlternate, umontreal.ssj.stochprocess.VarianceGammaProcessDiff, umontreal.ssj.stochprocess.VarianceGammaProcessDiffPCA
• genMatricesFromBitByBitFormat() : umontreal.ssj.hups.DigitalNetBase2
• genMatricesToBitByBitFormat() : umontreal.ssj.hups.DigitalNetBase2
• GeometricBrownianMotion() : umontreal.ssj.stochprocess.GeometricBrownianMotion
• GeometricDist() : umontreal.ssj.probdist.GeometricDist
• GeometricGen() : umontreal.ssj.randvar.GeometricGen
• GeometricNormalInverseGaussianProcess() : umontreal.ssj.stochprocess.GeometricNormalInverseGaussianProcess
• GeometricVarianceGammaProcess() : umontreal.ssj.stochprocess.GeometricVarianceGammaProcess
• GeometricWeights() : umontreal.ssj.latnetbuilder.weights.GeometricWeights
• get() : umontreal.ssj.charts.MultipleDatasetChart, umontreal.ssj.stat.matrix.MatrixOfStatProbes< E extends StatProbe >, umontreal.ssj.util.DMatrix
• getA() : umontreal.ssj.functions.PowerMathFunction, umontreal.ssj.functions.SquareMathFunction, umontreal.ssj.hups.KorobovLattice, umontreal.ssj.probdist.BetaDist, umontreal.ssj.probdist.NakagamiDist, umontreal.ssj.probdist.PowerDist, umontreal.ssj.probdist.RayleighDist, umontreal.ssj.probdist.TriangularDist, umontreal.ssj.probdist.TruncatedDist, umontreal.ssj.probdist.UniformDist, umontreal.ssj.randvar.BetaGen, umontreal.ssj.randvar.NakagamiGen, umontreal.ssj.randvar.PowerGen, umontreal.ssj.randvar.RayleighGen, umontreal.ssj.randvar.TriangularGen, umontreal.ssj.randvar.UniformGen, umontreal.ssj.stat.density.DEHistogram, umontreal.ssj.stat.ScaledHistogram, umontreal.ssj.stat.TallyHistogram
• geta() : umontreal.ssj.hups.LCGPointSet
• getAlpha() : umontreal.ssj.probdist.BetaDist, umontreal.ssj.probdist.CauchyDist, umontreal.ssj.probdist.ExtremeValueDist, umontreal.ssj.probdist.FrechetDist, umontreal.ssj.probdist.GammaDist, umontreal.ssj.probdist.InverseGammaDist, umontreal.ssj.probdist.LogisticDist, umontreal.ssj.probdist.LoglogisticDist, umontreal.ssj.probdist.NormalInverseGaussianDist, umontreal.ssj.probdist.ParetoDist, umontreal.ssj.probdist.Pearson5Dist, umontreal.ssj.probdist.WeibullDist, umontreal.ssj.probdistmulti.DirichletDist, umontreal.ssj.randvar.BetaGen, umontreal.ssj.randvar.CauchyGen, umontreal.ssj.randvar.ExtremeValueGen, umontreal.ssj.randvar.FrechetGen, umontreal.ssj.randvar.GammaGen, umontreal.ssj.randvar.InverseGammaGen, umontreal.ssj.randvar.LogisticGen, umontreal.ssj.randvar.LoglogisticGen, umontreal.ssj.randvar.NormalInverseGaussianGen, umontreal.ssj.randvar.ParetoGen, umontreal.ssj.randvar.Pearson5Gen, umontreal.ssj.randvar.WeibullGen, umontreal.ssj.randvarmulti.DirichletGen, umontreal.ssj.stochprocess.CIRProcess, umontreal.ssj.stochprocess.CIRProcessEuler, umontreal.ssj.stochprocess.NormalInverseGaussianProcess, umontreal.ssj.stochprocess.OrnsteinUhlenbeckProcess
• getAlpha1() : umontreal.ssj.probdist.Pearson6Dist, umontreal.ssj.randvar.Pearson6Gen
• getAlpha2() : umontreal.ssj.probdist.Pearson6Dist, umontreal.ssj.randvar.Pearson6Gen
• getAnalyticAverage() : umontreal.ssj.stochprocess.InverseGaussianProcess, umontreal.ssj.stochprocess.NormalInverseGaussianProcess
• getAnalyticVariance() : umontreal.ssj.stochprocess.InverseGaussianProcess, umontreal.ssj.stochprocess.NormalInverseGaussianProcess
• getArea() : umontreal.ssj.probdist.TruncatedDist
• getArray() : umontreal.ssj.stat.TallyStore
• getArrayLength() : umontreal.ssj.util.io.DataField
• getArrayMappingCounterToIndex() : umontreal.ssj.stochprocess.StochasticProcess
• getAs() : umontreal.ssj.hups.Rank1Lattice
• getAuxStream() : umontreal.ssj.randvar.BetaRejectionLoglogisticGen, umontreal.ssj.randvar.BetaStratifiedRejectionGen, umontreal.ssj.randvar.GammaAcceptanceRejectionGen, umontreal.ssj.randvar.GammaRejectionLoglogisticGen
• getAxis() : umontreal.ssj.charts.Axis
• getB() : umontreal.ssj.functions.PowerMathFunction, umontreal.ssj.functions.SquareMathFunction, umontreal.ssj.probdist.BetaDist, umontreal.ssj.probdist.PowerDist, umontreal.ssj.probdist.TriangularDist, umontreal.ssj.probdist.TruncatedDist, umontreal.ssj.probdist.UniformDist, umontreal.ssj.randvar.BetaGen, umontreal.ssj.randvar.PowerGen, umontreal.ssj.randvar.TriangularGen, umontreal.ssj.randvar.UniformGen, umontreal.ssj.stat.density.DEHistogram, umontreal.ssj.stat.ScaledHistogram, umontreal.ssj.stat.TallyHistogram, umontreal.ssj.stochprocess.CIRProcess, umontreal.ssj.stochprocess.CIRProcessEuler, umontreal.ssj.stochprocess.OrnsteinUhlenbeckProcess
• getBase() : umontreal.ssj.mcqmctools.RQMCExperimentSeries
• getBaseBandwidth() : umontreal.ssj.randvar.KernelDensityGen
• getBaseWeight() : umontreal.ssj.latnetbuilder.weights.GeometricWeights
• getBatch() : umontreal.ssj.simexp.BatchMeansSim
• getBatchAggregation() : umontreal.ssj.simexp.BatchMeansSim
• getBatchExponents() : umontreal.ssj.util.multidimsort.BatchSort< T extends MultiDimComparable<? super T > >
• getBatchFraction() : umontreal.ssj.simexp.BatchMeansSim
• getBatchLengthsKeeping() : umontreal.ssj.simexp.BatchMeansSim
• getBatchNumbers() : umontreal.ssj.util.multidimsort.BatchSort< T extends MultiDimComparable<? super T > >
• getBatchProduct() : umontreal.ssj.util.multidimsort.BatchSort< T extends MultiDimComparable<? super T > >
• getBatchSize() : umontreal.ssj.simexp.BatchMeansSim
• getBatchSizeMultiplier() : umontreal.ssj.simexp.BatchMeansSim
• getBestA() : umontreal.ssj.discrepancy.SearcherKorobov
• getBestAs() : umontreal.ssj.discrepancy.Searcher
• getBestVal() : umontreal.ssj.discrepancy.Searcher
• getBestVals() : umontreal.ssj.discrepancy.SearcherCBC
• getBeta() : umontreal.ssj.probdist.BetaDist, umontreal.ssj.probdist.CauchyDist, umontreal.ssj.probdist.FatigueLifeDist, umontreal.ssj.probdist.FrechetDist, umontreal.ssj.probdist.GumbelDist, umontreal.ssj.probdist.InverseGammaDist, umontreal.ssj.probdist.LaplaceDist, umontreal.ssj.probdist.LoglogisticDist, umontreal.ssj.probdist.NormalInverseGaussianDist, umontreal.ssj.probdist.ParetoDist, umontreal.ssj.probdist.Pearson5Dist, umontreal.ssj.probdist.Pearson6Dist, umontreal.ssj.randvar.BetaGen, umontreal.ssj.randvar.CauchyGen, umontreal.ssj.randvar.FatigueLifeGen, umontreal.ssj.randvar.FrechetGen, umontreal.ssj.randvar.GumbelGen, umontreal.ssj.randvar.InverseGammaGen, umontreal.ssj.randvar.LaplaceGen, umontreal.ssj.randvar.LoglogisticGen, umontreal.ssj.randvar.NormalInverseGaussianGen, umontreal.ssj.randvar.ParetoGen, umontreal.ssj.randvar.Pearson5Gen, umontreal.ssj.randvar.Pearson6Gen, umontreal.ssj.stat.list.lincv.FunctionOfMultipleMeansTallyWithCV, umontreal.ssj.stat.list.lincv.ListOfTalliesWithCV< E extends Tally >, umontreal.ssj.stochprocess.NormalInverseGaussianProcess
• getBins() : umontreal.ssj.charts.CustomHistogramDataset, umontreal.ssj.charts.HistogramSeriesCollection
• getBinWidth() : umontreal.ssj.charts.CustomHistogramDataset
• getBitNumbers() : umontreal.ssj.util.multidimsort.BatchSortPow2< T extends MultiDimComparable<? super T > >
• getBMPCA() : umontreal.ssj.stochprocess.GammaProcessPCA, umontreal.ssj.stochprocess.GammaProcessPCABridge
• getBool() : umontreal.ssj.util.BitMatrix, umontreal.ssj.util.BitVector
• getBrownianMotion() : umontreal.ssj.stochprocess.GeometricBrownianMotion, umontreal.ssj.stochprocess.MultivariateGeometricBrownianMotion, umontreal.ssj.stochprocess.VarianceGammaProcess
• getBrownianMotionPCA() : umontreal.ssj.stochprocess.InverseGaussianProcessPCA
• getBuffer() : umontreal.ssj.util.PrintfFormat
• getC() : umontreal.ssj.latnetbuilder.weights.GeometricWeights, umontreal.ssj.probdist.NakagamiDist, umontreal.ssj.probdist.PowerDist, umontreal.ssj.randvar.NakagamiGen, umontreal.ssj.randvar.PowerGen
• getCachedGen() : umontreal.ssj.randvar.RandomVariateGenWithCache
• getCachedStream() : umontreal.ssj.rng.RandomStreamWithCache
• getCachedValues() : umontreal.ssj.randvar.RandomVariateGenWithCache, umontreal.ssj.rng.RandomStreamWithCache
• getCacheIndex() : umontreal.ssj.randvar.RandomVariateGenWithCache, umontreal.ssj.rng.RandomStreamWithCache
• getCategory() : umontreal.ssj.charts.SSJCategorySeriesCollection
• getCdf() : umontreal.ssj.charts.DiscreteDistIntChart
• getChains() : umontreal.ssj.markovchainrqmc.ArrayOfComparableChains< T extends MarkovChainComparable >
• getChartMargin() : umontreal.ssj.charts.XYChart
• getCholeskyDecompSigma() : umontreal.ssj.randvarmulti.MultinormalCholeskyGen
• getClassFinder() : umontreal.ssj.util.NameConflictException
• getCoefficient() : umontreal.ssj.functions.Polynomial
• getCoefficients() : umontreal.ssj.functionfit.PolInterp, umontreal.ssj.functions.Polynomial
• getColor() : umontreal.ssj.charts.SSJCategorySeriesCollection, umontreal.ssj.charts.SSJXYSeriesCollection
• getComparableWeights() : umontreal.ssj.latnetbuilder.weights.WeightsComparable< T extends Comparable< T > >
• getCompletedRealBatches() : umontreal.ssj.simexp.BatchMeansSim
• getCompletedReplications() : umontreal.ssj.simexp.RepSim
• getConfidenceLevel() : umontreal.ssj.stat.FunctionOfMultipleMeansTally, umontreal.ssj.stat.Tally
• getContinuousDistribution() : umontreal.ssj.probdist.DistributionFactory
• getContinuousVariables() : umontreal.ssj.simevents.ContinuousState
• getCoordinate() : umontreal.ssj.hups.AntitheticPointSet, umontreal.ssj.hups.BakerTransformedPointSet, umontreal.ssj.hups.CachedPointSet, umontreal.ssj.hups.ContainerPointSet, umontreal.ssj.hups.CycleBasedPointSet, umontreal.ssj.hups.CycleBasedPointSetBase2, umontreal.ssj.hups.DigitalNet, umontreal.ssj.hups.DigitalNetBase2, umontreal.ssj.hups.HaltonSequence, umontreal.ssj.hups.HammersleyPointSet, umontreal.ssj.hups.KorobovLatticeSequence, umontreal.ssj.hups.PointSet, umontreal.ssj.hups.RandShiftedMod1PointSet, umontreal.ssj.hups.Rank1Lattice, umontreal.ssj.hups.SubsetOfPointSet, umontreal.ssj.util.multidimsort.MultiDim01
• getCoordinateNoGray() : umontreal.ssj.hups.DigitalNet, umontreal.ssj.hups.DigitalNetBase2
• getCoordinates() : umontreal.ssj.mcqmctools.anova.PartialVariance
• getCoordinateSets() : umontreal.ssj.mcqmctools.anova.AnovaVarianceEstimator, umontreal.ssj.mcqmctools.anova.PartialVarianceEstimator
• getCorrelation() : umontreal.ssj.probdistmulti.BiNormalDist, umontreal.ssj.probdistmulti.BiStudentDist, umontreal.ssj.probdistmulti.ContinuousDistributionMulti, umontreal.ssj.probdistmulti.DirichletDist, umontreal.ssj.probdistmulti.DiscreteDistributionIntMulti, umontreal.ssj.probdistmulti.MultinomialDist, umontreal.ssj.probdistmulti.MultiNormalDist, umontreal.ssj.probdistmulti.NegativeMultinomialDist
• getCounters() : umontreal.ssj.stat.TallyHistogram
• getCovariance() : umontreal.ssj.probdistmulti.BiNormalDist, umontreal.ssj.probdistmulti.BiStudentDist, umontreal.ssj.probdistmulti.ContinuousDistributionMulti, umontreal.ssj.probdistmulti.DirichletDist, umontreal.ssj.probdistmulti.DiscreteDistributionIntMulti, umontreal.ssj.probdistmulti.MultinomialDist, umontreal.ssj.probdistmulti.MultiNormalDist, umontreal.ssj.probdistmulti.NegativeMultinomialDist
• getCurCoordIndex() : umontreal.ssj.hups.PointSet.DefaultPointSetIterator, umontreal.ssj.hups.PointSetIterator
• getCurPointIndex() : umontreal.ssj.hups.PointSet.DefaultPointSetIterator, umontreal.ssj.hups.PointSetIterator
• getCurrentObservation() : umontreal.ssj.stochprocess.MultivariateStochasticProcess, umontreal.ssj.stochprocess.StochasticProcess
• getCurrentObservationIndex() : umontreal.ssj.stochprocess.StochasticProcess
• getDashPattern() : umontreal.ssj.charts.EmpiricalSeriesCollection
• getData() : umontreal.ssj.stat.density.DensityEstimator, umontreal.ssj.stat.density.DensityEstimatorDoubleArray
• getDefaultColor() : umontreal.ssj.charts.SSJCategorySeriesCollection, umontreal.ssj.charts.SSJXYSeriesCollection
• getDefaultSimulator() : umontreal.ssj.simevents.Simulator
• getDefaultWeight() : umontreal.ssj.latnetbuilder.weights.Weights< T >
• getDegree() : umontreal.ssj.functions.Polynomial
• getDelta() : umontreal.ssj.functions.ShiftedMathFunction, umontreal.ssj.probdist.FrechetDist, umontreal.ssj.probdist.GumbelDist, umontreal.ssj.probdist.JohnsonSystem, umontreal.ssj.probdist.NormalInverseGaussianDist, umontreal.ssj.probdist.WeibullDist, umontreal.ssj.randvar.FrechetGen, umontreal.ssj.randvar.GumbelGen, umontreal.ssj.randvar.JohnsonSystemG, umontreal.ssj.randvar.NormalInverseGaussianGen, umontreal.ssj.randvar.WeibullGen, umontreal.ssj.stochprocess.InverseGaussianProcess, umontreal.ssj.stochprocess.NormalInverseGaussianProcess
• getDimension() : umontreal.ssj.discrepancy.Discrepancy, umontreal.ssj.hups.ContainerPointSet, umontreal.ssj.hups.CycleBasedPointSet, umontreal.ssj.hups.PointSet, umontreal.ssj.hups.SortedAndCutPointSet, umontreal.ssj.mcqmctools.anova.AnovaVarianceEstimator, umontreal.ssj.mcqmctools.anova.MonteCarloModelDoubleRQMC, umontreal.ssj.mcqmctools.anova.MonteCarloModelRQMC< E >, umontreal.ssj.mcqmctools.anova.PartialVarianceEstimator, umontreal.ssj.probdistmulti.ContinuousDistributionMulti, umontreal.ssj.probdistmulti.DiscreteDistributionIntMulti, umontreal.ssj.probdistmulti.MultiNormalDist, umontreal.ssj.randvarmulti.RandomMultivariateGen, umontreal.ssj.stat.FunctionOfMultipleMeansTally, umontreal.ssj.stat.list.ListOfFunctionOfMultipleMeansTallies< E extends FunctionOfMultipleMeansTally >, umontreal.ssj.stat.matrix.MatrixOfFunctionOfMultipleMeansTallies< E extends FunctionOfMultipleMeansTally >, umontreal.ssj.stochprocess.MultivariateStochasticProcess, umontreal.ssj.util.MultivariateFunction, umontreal.ssj.util.RatioFunction
• getDimensionWithoutCV() : umontreal.ssj.stat.list.lincv.FunctionOfMultipleMeansTallyWithCV
• getDiscreteDistribution() : umontreal.ssj.probdist.DistributionFactory
• getDiscreteDistributionInt() : umontreal.ssj.probdist.DistributionFactory
• getDistribution() : umontreal.ssj.randvar.MixtureGen, umontreal.ssj.randvar.RandomVariateGen, umontreal.ssj.randvar.RandomVariateGenInt, umontreal.ssj.randvar.RandomVariateGenWithCache
• getDistributionMLE() : umontreal.ssj.probdist.DistributionFactory
• getDistributions() : umontreal.ssj.randvar.MixtureGen
• getDomainBounds() : umontreal.ssj.charts.SSJXYSeriesCollection
• getDoubleArrayList() : umontreal.ssj.stat.TallyStore
• getDroppedRealBatches() : umontreal.ssj.simexp.BatchMeansSim
• getElement() : umontreal.ssj.simevents.ListWithStat< E >.Node< E >
• getEndSimEvent() : umontreal.ssj.simexp.BatchMeansSim
• getEndX() : umontreal.ssj.charts.CustomHistogramDataset
• getEndY() : umontreal.ssj.charts.CustomHistogramDataset
• getEps() : umontreal.ssj.stat.density.DEKernelDensity
• getEpsilon() : umontreal.ssj.probdist.InverseDistFromDensity, umontreal.ssj.randvar.InverseFromDensityGen
• getEventList() : umontreal.ssj.simevents.Sim, umontreal.ssj.simevents.Simulator
• getExpectedFutureDiscount() : umontreal.ssj.stochprocess.OrnsteinUhlenbeckWithIntegratedProcess
• getExpectedValue() : umontreal.ssj.stat.list.lincv.FunctionOfMultipleMeansTallyWithCV, umontreal.ssj.stat.list.lincv.ListOfTalliesWithCV< E extends Tally >
• getExpectedValues() : umontreal.ssj.stat.list.lincv.FunctionOfMultipleMeansTallyWithCV, umontreal.ssj.stat.list.lincv.ListOfTalliesWithCV< E extends Tally >
• getFa() : umontreal.ssj.probdist.TruncatedDist
• getFaureLemieuxPermutation() : umontreal.ssj.hups.RadicalInverse
• getFaurePermutation() : umontreal.ssj.hups.RadicalInverse
• getFb() : umontreal.ssj.probdist.TruncatedDist
• getField() : umontreal.ssj.util.Introspection
• getFieldName() : umontreal.ssj.util.Introspection
• getFields() : umontreal.ssj.util.Introspection
• getFileDir() : umontreal.ssj.latnetbuilder.weights.OrderDependentWeights, umontreal.ssj.latnetbuilder.weights.ProjectionDependentWeights
• getFileName() : umontreal.ssj.latnetbuilder.weights.OrderDependentWeights, umontreal.ssj.latnetbuilder.weights.ProjectionDependentWeights
• getFilled() : umontreal.ssj.charts.HistogramSeriesCollection
• getFirst() : umontreal.ssj.simevents.eventlist.BinaryTree, umontreal.ssj.simevents.eventlist.DoublyLinked, umontreal.ssj.simevents.eventlist.EventList, umontreal.ssj.simevents.eventlist.Henriksen, umontreal.ssj.simevents.eventlist.RedblackTree, umontreal.ssj.simevents.eventlist.SplayTree
• getFirstOfClass() : umontreal.ssj.simevents.eventlist.BinaryTree, umontreal.ssj.simevents.eventlist.DoublyLinked, umontreal.ssj.simevents.eventlist.EventList, umontreal.ssj.simevents.eventlist.Henriksen, umontreal.ssj.simevents.eventlist.RedblackTree, umontreal.ssj.simevents.eventlist.SplayTree
• getFitPolynomialIndex() : umontreal.ssj.functionfit.SmoothingCubicSpline
• getFunction() : umontreal.ssj.functions.PowerMathFunction, umontreal.ssj.functions.ShiftedMathFunction, umontreal.ssj.functions.SqrtMathFunction, umontreal.ssj.functions.SquareMathFunction, umontreal.ssj.stat.FunctionOfMultipleMeansTally
• getFunctions() : umontreal.ssj.functions.AverageMathFunction
• getFunctionWithoutCV() : umontreal.ssj.stat.list.lincv.FunctionOfMultipleMeansTallyWithCV
• getGamma() : umontreal.ssj.discrepancy.Discrepancy, umontreal.ssj.probdist.FatigueLifeDist, umontreal.ssj.probdist.JohnsonSystem, umontreal.ssj.probdist.NegativeBinomialDist, umontreal.ssj.probdistmulti.NegativeMultinomialDist, umontreal.ssj.randvar.FatigueLifeGen, umontreal.ssj.randvar.JohnsonSystemG, umontreal.ssj.randvar.NegativeBinomialGen, umontreal.ssj.stochprocess.InverseGaussianProcess, umontreal.ssj.stochprocess.NormalInverseGaussianProcess
• getGammaProcess() : umontreal.ssj.stochprocess.VarianceGammaProcess
• getGen() : umontreal.ssj.stochprocess.BrownianMotion, umontreal.ssj.stochprocess.CIRProcess, umontreal.ssj.stochprocess.CIRProcessEuler, umontreal.ssj.stochprocess.GeometricBrownianMotion, umontreal.ssj.stochprocess.MultivariateBrownianMotion, umontreal.ssj.stochprocess.MultivariateGeometricBrownianMotion, umontreal.ssj.stochprocess.OrnsteinUhlenbeckProcess
• getGen1() : umontreal.ssj.randvarmulti.IIDMultivariateGen
• getGenMatrices() : umontreal.ssj.hups.DigitalNetBase2
• getGneg() : umontreal.ssj.stochprocess.VarianceGammaProcessDiff
• getGpos() : umontreal.ssj.stochprocess.VarianceGammaProcessDiff
• getH() : umontreal.ssj.stat.density.DEHistogram, umontreal.ssj.stat.density.DEKernelDensity, umontreal.ssj.stat.density.DensityDerivativeEstimator, umontreal.ssj.stat.TallyHistogram
• getHeights() : umontreal.ssj.stat.ScaledHistogram
• getHilbertCurveMap() : umontreal.ssj.util.multidimsort.HilbertCurveBatchSort< T extends MultiDimComparable<? super T > >, umontreal.ssj.util.multidimsort.HilbertCurveSort
• getHostName() : umontreal.ssj.util.Systeme
• getHours() : umontreal.ssj.util.AbstractChrono, umontreal.ssj.util.TimeUnit
• getI() : umontreal.ssj.probdist.UniformIntDist, umontreal.ssj.randvar.UniformIntGen
• getImports() : umontreal.ssj.util.ClassFinder
• getIndex() : umontreal.ssj.latnetbuilder.weights.SingletonWeight< T >
• getIndexAfterSort() : umontreal.ssj.util.multidimsort.HilbertCurveSort
• getInitTime() : umontreal.ssj.simevents.Accumulate, umontreal.ssj.simevents.ListWithStat< E >
• getInsertionTime() : umontreal.ssj.simevents.ListWithStat< E >.Node< E >
• getInstanceFromMLE() : umontreal.ssj.probdist.BernoulliDist, umontreal.ssj.probdist.BetaDist, umontreal.ssj.probdist.BetaSymmetricalDist, umontreal.ssj.probdist.BinomialDist, umontreal.ssj.probdist.CauchyDist, umontreal.ssj.probdist.ChiDist, umontreal.ssj.probdist.ChiSquareDist, umontreal.ssj.probdist.ErlangDist, umontreal.ssj.probdist.ExponentialDist, umontreal.ssj.probdist.ExtremeValueDist, umontreal.ssj.probdist.FrechetDist, umontreal.ssj.probdist.GammaDist, umontreal.ssj.probdist.GeometricDist, umontreal.ssj.probdist.GumbelDist, umontreal.ssj.probdist.HyperbolicSecantDist, umontreal.ssj.probdist.InverseGammaDist, umontreal.ssj.probdist.InverseGaussianDist, umontreal.ssj.probdist.JohnsonSBDist, umontreal.ssj.probdist.JohnsonSLDist, umontreal.ssj.probdist.LaplaceDist, umontreal.ssj.probdist.LogarithmicDist, umontreal.ssj.probdist.LogisticDist, umontreal.ssj.probdist.LoglogisticDist, umontreal.ssj.probdist.LognormalDist, umontreal.ssj.probdist.NegativeBinomialDist, umontreal.ssj.probdist.NormalDist, umontreal.ssj.probdist.NormalInverseGaussianDist, umontreal.ssj.probdist.ParetoDist, umontreal.ssj.probdist.PascalDist, umontreal.ssj.probdist.Pearson5Dist, umontreal.ssj.probdist.Pearson6Dist, umontreal.ssj.probdist.PoissonDist, umontreal.ssj.probdist.PowerDist, umontreal.ssj.probdist.RayleighDist, umontreal.ssj.probdist.StudentDist, umontreal.ssj.probdist.TriangularDist, umontreal.ssj.probdist.UniformDist, umontreal.ssj.probdist.UniformIntDist, umontreal.ssj.probdist.WeibullDist
• getInstanceFromMLE1() : umontreal.ssj.probdist.NegativeBinomialDist
• getInstanceFromMLEmin() : umontreal.ssj.probdist.GumbelDist
• getInt() : umontreal.ssj.util.BitVector
• getIntegral() : umontreal.ssj.stat.ScaledHistogram
• getIntegratedPath() : umontreal.ssj.stochprocess.OrnsteinUhlenbeckWithIntegratedProcess
• getIntegrator() : umontreal.ssj.mcqmctools.anova.Replicator
• getInterlacing() : umontreal.ssj.hups.DigitalNet
• getInterQuartileRange() : umontreal.ssj.probdist.EmpiricalDist
• getItemCount() : umontreal.ssj.charts.CustomHistogramDataset
• getJ() : umontreal.ssj.probdist.UniformIntDist, umontreal.ssj.randvar.UniformIntGen
• getJFreeChart() : umontreal.ssj.charts.CategoryChart, umontreal.ssj.charts.MultipleDatasetChart, umontreal.ssj.charts.XYChart
• getK() : umontreal.ssj.probdist.ErlangDist, umontreal.ssj.probdist.HypergeometricDist, umontreal.ssj.randvar.ErlangGen, umontreal.ssj.randvar.HypergeometricGen
• getKernel() : umontreal.ssj.stat.density.DEKernelDensity
• getKnots() : umontreal.ssj.functionfit.BSpline
• getL() : umontreal.ssj.probdist.HypergeometricDist, umontreal.ssj.randvar.HypergeometricGen
• getLabel() : umontreal.ssj.charts.Axis, umontreal.ssj.hups.RQMCPointSet, umontreal.ssj.util.io.DataField
• getLambda() : umontreal.ssj.probdist.ChiSquareNoncentralDist, umontreal.ssj.probdist.ExponentialDist, umontreal.ssj.probdist.ExtremeValueDist, umontreal.ssj.probdist.GammaDist, umontreal.ssj.probdist.HypoExponentialDist, umontreal.ssj.probdist.InverseGaussianDist, umontreal.ssj.probdist.JohnsonSystem, umontreal.ssj.probdist.LogisticDist, umontreal.ssj.probdist.NakagamiDist, umontreal.ssj.probdist.PoissonDist, umontreal.ssj.probdist.WeibullDist, umontreal.ssj.randvar.ChiSquareNoncentralGen, umontreal.ssj.randvar.ExponentialGen, umontreal.ssj.randvar.ExtremeValueGen, umontreal.ssj.randvar.GammaGen, umontreal.ssj.randvar.HypoExponentialGen, umontreal.ssj.randvar.InverseGaussianGen, umontreal.ssj.randvar.JohnsonSystemG, umontreal.ssj.randvar.LogisticGen, umontreal.ssj.randvar.NakagamiGen, umontreal.ssj.randvar.PoissonGen, umontreal.ssj.randvar.WeibullGen, umontreal.ssj.randvarmulti.MultinormalPCAGen
• getLastTime() : umontreal.ssj.simevents.Accumulate
• getLastValue() : umontreal.ssj.simevents.Accumulate
• getLevyProcess() : umontreal.ssj.stochprocess.GeometricLevyProcess
• getList() : umontreal.ssj.charts.MultipleDatasetChart
• getListOfTallies() : umontreal.ssj.stat.FunctionOfMultipleMeansTally
• getListOfTalliesWithCV() : umontreal.ssj.stat.list.lincv.FunctionOfMultipleMeansTallyWithCV
• getLog2N() : umontreal.ssj.hups.F2wStructure
• getLogn() : umontreal.ssj.mcqmctools.RQMCExperimentSeries
• getLogVariances() : umontreal.ssj.mcqmctools.RQMCExperimentSeries
• getLongName() : umontreal.ssj.util.TimeUnit
• getM() : umontreal.ssj.probdist.HypergeometricDist, umontreal.ssj.probdist.TriangularDist, umontreal.ssj.randvar.FisherFGen, umontreal.ssj.randvar.HypergeometricGen, umontreal.ssj.randvar.TriangularGen, umontreal.ssj.util.multidimsort.HilbertCurveMap
• getMargin() : umontreal.ssj.charts.HistogramSeriesCollection
• getMarksType() : umontreal.ssj.charts.EmpiricalSeriesCollection
• getMask() : umontreal.ssj.mcqmctools.anova.CoordinateSetLong
• getMaxBatches() : umontreal.ssj.simexp.BatchMeansSim
• getMaxBits() : umontreal.ssj.hups.PointSet
• getMaxFieldLength() : umontreal.ssj.util.io.TextDataWriter
• getMaximumLikelihoodEstimate() : umontreal.ssj.probdist.ExtremeValueDist
• getMaxKnot() : umontreal.ssj.functionfit.BSpline
• getMaxOrder() : umontreal.ssj.mcqmctools.anova.AnovaVarianceCollector
• getMaxReplications() : umontreal.ssj.simexp.RepSim
• getMean() : umontreal.ssj.probdist.BernoulliDist, umontreal.ssj.probdist.BetaDist, umontreal.ssj.probdist.BetaSymmetricalDist, umontreal.ssj.probdist.BinomialDist, umontreal.ssj.probdist.CauchyDist, umontreal.ssj.probdist.ChiDist, umontreal.ssj.probdist.ChiSquareDist, umontreal.ssj.probdist.ChiSquareNoncentralDist, umontreal.ssj.probdist.ConstantDist, umontreal.ssj.probdist.ContinuousDistribution, umontreal.ssj.probdist.CramerVonMisesDist, umontreal.ssj.probdist.DiscreteDistribution, umontreal.ssj.probdist.Distribution, umontreal.ssj.probdist.EmpiricalDist, umontreal.ssj.probdist.ErlangDist, umontreal.ssj.probdist.ExponentialDist, umontreal.ssj.probdist.ExtremeValueDist, umontreal.ssj.probdist.FatigueLifeDist, umontreal.ssj.probdist.FisherFDist, umontreal.ssj.probdist.FoldedNormalDist, umontreal.ssj.probdist.FrechetDist, umontreal.ssj.probdist.GammaDist, umontreal.ssj.probdist.GeometricDist, umontreal.ssj.probdist.GumbelDist, umontreal.ssj.probdist.HalfNormalDist, umontreal.ssj.probdist.HyperbolicSecantDist, umontreal.ssj.probdist.HypergeometricDist, umontreal.ssj.probdist.HypoExponentialDist, umontreal.ssj.probdist.InverseGammaDist, umontreal.ssj.probdist.InverseGaussianDist, umontreal.ssj.probdist.JohnsonSBDist, umontreal.ssj.probdist.JohnsonSLDist, umontreal.ssj.probdist.JohnsonSUDist, umontreal.ssj.probdist.LaplaceDist, umontreal.ssj.probdist.LogarithmicDist, umontreal.ssj.probdist.LogisticDist, umontreal.ssj.probdist.LoglogisticDist, umontreal.ssj.probdist.LognormalDist, umontreal.ssj.probdist.NakagamiDist, umontreal.ssj.probdist.NegativeBinomialDist, umontreal.ssj.probdist.NormalDist, umontreal.ssj.probdist.NormalInverseGaussianDist, umontreal.ssj.probdist.ParetoDist, umontreal.ssj.probdist.Pearson5Dist, umontreal.ssj.probdist.Pearson6Dist, umontreal.ssj.probdist.PiecewiseLinearEmpiricalDist, umontreal.ssj.probdist.PoissonDist, umontreal.ssj.probdist.PowerDist, umontreal.ssj.probdist.RayleighDist, umontreal.ssj.probdist.StudentDist, umontreal.ssj.probdist.TriangularDist, umontreal.ssj.probdist.TruncatedDist, umontreal.ssj.probdist.UniformDist, umontreal.ssj.probdist.UniformIntDist, umontreal.ssj.probdist.WatsonUDist, umontreal.ssj.probdist.WeibullDist, umontreal.ssj.probdistmulti.BiNormalDist, umontreal.ssj.probdistmulti.BiStudentDist, umontreal.ssj.probdistmulti.ContinuousDistributionMulti, umontreal.ssj.probdistmulti.DirichletDist, umontreal.ssj.probdistmulti.DiscreteDistributionIntMulti, umontreal.ssj.probdistmulti.MultinomialDist, umontreal.ssj.probdistmulti.MultiNormalDist, umontreal.ssj.probdistmulti.NegativeMultinomialDist
• getMeanCorrection() : umontreal.ssj.mcqmctools.anova.AnovaVarianceCollector
• getMeans() : umontreal.ssj.mcqmctools.RQMCExperimentSeries
• getMedian() : umontreal.ssj.probdist.EmpiricalDist, umontreal.ssj.util.Misc
• getMethod() : umontreal.ssj.util.Introspection
• getMethods() : umontreal.ssj.util.Introspection
• getMinBatches() : umontreal.ssj.simexp.BatchMeansSim
• getMinKnot() : umontreal.ssj.functionfit.BSpline
• getMinReplications() : umontreal.ssj.simexp.RepSim
• getMinutes() : umontreal.ssj.util.AbstractChrono
• getMLE() : umontreal.ssj.probdist.BernoulliDist, umontreal.ssj.probdist.BetaDist, umontreal.ssj.probdist.BetaSymmetricalDist, umontreal.ssj.probdist.BinomialDist, umontreal.ssj.probdist.CauchyDist, umontreal.ssj.probdist.ChiDist, umontreal.ssj.probdist.ChiSquareDist, umontreal.ssj.probdist.ErlangDist, umontreal.ssj.probdist.ExponentialDist, umontreal.ssj.probdist.ExtremeValueDist, umontreal.ssj.probdist.FatigueLifeDist, umontreal.ssj.probdist.FoldedNormalDist, umontreal.ssj.probdist.FrechetDist, umontreal.ssj.probdist.GammaDist, umontreal.ssj.probdist.GeometricDist, umontreal.ssj.probdist.GumbelDist, umontreal.ssj.probdist.HalfNormalDist, umontreal.ssj.probdist.HyperbolicSecantDist, umontreal.ssj.probdist.InverseGammaDist, umontreal.ssj.probdist.InverseGaussianDist, umontreal.ssj.probdist.JohnsonSBDist, umontreal.ssj.probdist.JohnsonSLDist, umontreal.ssj.probdist.LaplaceDist, umontreal.ssj.probdist.LogarithmicDist, umontreal.ssj.probdist.LogisticDist, umontreal.ssj.probdist.LoglogisticDist, umontreal.ssj.probdist.LognormalDist, umontreal.ssj.probdist.NegativeBinomialDist, umontreal.ssj.probdist.NormalDist, umontreal.ssj.probdist.NormalInverseGaussianDist, umontreal.ssj.probdist.ParetoDist, umontreal.ssj.probdist.PascalDist, umontreal.ssj.probdist.Pearson5Dist, umontreal.ssj.probdist.Pearson6Dist, umontreal.ssj.probdist.PoissonDist, umontreal.ssj.probdist.PowerDist, umontreal.ssj.probdist.RayleighDist, umontreal.ssj.probdist.StudentDist, umontreal.ssj.probdist.TriangularDist, umontreal.ssj.probdist.UniformDist, umontreal.ssj.probdist.UniformIntDist, umontreal.ssj.probdist.WeibullDist, umontreal.ssj.probdistmulti.DirichletDist, umontreal.ssj.probdistmulti.MultinomialDist, umontreal.ssj.probdistmulti.NegativeMultinomialDist
• getMLE1() : umontreal.ssj.probdist.NegativeBinomialDist
• getMLEmin() : umontreal.ssj.probdist.GumbelDist
• getMLEMu() : umontreal.ssj.probdistmulti.MultiNormalDist
• getMLEninv() : umontreal.ssj.probdist.NegativeBinomialDist, umontreal.ssj.probdistmulti.NegativeMultinomialDist
• getMLESigma() : umontreal.ssj.probdistmulti.MultiNormalDist
• getMomentsEstimate() : umontreal.ssj.probdist.ChiSquareDist
• getMu() : umontreal.ssj.probdist.FatigueLifeDist, umontreal.ssj.probdist.FoldedNormalDist, umontreal.ssj.probdist.HalfNormalDist, umontreal.ssj.probdist.HyperbolicSecantDist, umontreal.ssj.probdist.InverseGaussianDist, umontreal.ssj.probdist.LaplaceDist, umontreal.ssj.probdist.LognormalDist, umontreal.ssj.probdist.NormalDist, umontreal.ssj.probdist.NormalInverseGaussianDist, umontreal.ssj.probdistmulti.MultiNormalDist, umontreal.ssj.randvar.FatigueLifeGen, umontreal.ssj.randvar.FoldedNormalGen, umontreal.ssj.randvar.HalfNormalGen, umontreal.ssj.randvar.HyperbolicSecantGen, umontreal.ssj.randvar.InverseGaussianGen, umontreal.ssj.randvar.LaplaceGen, umontreal.ssj.randvar.LognormalGen, umontreal.ssj.randvar.NormalGen, umontreal.ssj.randvar.NormalInverseGaussianGen, umontreal.ssj.randvarmulti.MultinormalGen, umontreal.ssj.stochprocess.BrownianMotion, umontreal.ssj.stochprocess.GammaProcess, umontreal.ssj.stochprocess.GeometricBrownianMotion, umontreal.ssj.stochprocess.GeometricVarianceGammaProcess, umontreal.ssj.stochprocess.MultivariateBrownianMotion, umontreal.ssj.stochprocess.NormalInverseGaussianProcess
• getMu1() : umontreal.ssj.probdistmulti.BiNormalDist
• getMu2() : umontreal.ssj.probdistmulti.BiNormalDist
• getMuGeom() : umontreal.ssj.stochprocess.GeometricLevyProcess
• getN() : umontreal.ssj.markovchainrqmc.ArrayOfComparableChains< T extends MarkovChainComparable >, umontreal.ssj.probdist.AndersonDarlingDist, umontreal.ssj.probdist.BinomialDist, umontreal.ssj.probdist.ChiSquareDist, umontreal.ssj.probdist.CramerVonMisesDist, umontreal.ssj.probdist.DiscreteDistribution, umontreal.ssj.probdist.EmpiricalDist, umontreal.ssj.probdist.KolmogorovSmirnovDist, umontreal.ssj.probdist.KolmogorovSmirnovPlusDist, umontreal.ssj.probdist.NegativeBinomialDist, umontreal.ssj.probdist.PiecewiseLinearEmpiricalDist, umontreal.ssj.probdist.StudentDist, umontreal.ssj.probdist.WatsonGDist, umontreal.ssj.probdist.WatsonUDist, umontreal.ssj.probdistmulti.MultinomialDist, umontreal.ssj.randvar.BinomialGen, umontreal.ssj.randvar.ChiSquareGen, umontreal.ssj.randvar.FisherFGen, umontreal.ssj.randvar.PascalGen, umontreal.ssj.randvar.StudentGen
• getN1() : umontreal.ssj.probdist.FisherFDist, umontreal.ssj.probdist.PascalDist
• getN2() : umontreal.ssj.probdist.FisherFDist
• getName() : umontreal.ssj.charts.BoxSeriesCollection, umontreal.ssj.discrepancy.Discrepancy, umontreal.ssj.simevents.ListWithStat< E >, umontreal.ssj.stat.list.ListOfStatProbes< E extends StatProbe >, umontreal.ssj.stat.matrix.MatrixOfStatProbes< E extends StatProbe >, umontreal.ssj.stat.StatProbe, umontreal.ssj.util.NameConflictException
• getNormalGen() : umontreal.ssj.stochprocess.InverseGaussianProcessMSH
• getNu() : umontreal.ssj.probdist.ChiDist, umontreal.ssj.probdist.ChiSquareNoncentralDist, umontreal.ssj.randvar.ChiGen, umontreal.ssj.randvar.ChiSquareNoncentralGen, umontreal.ssj.stochprocess.GammaProcess, umontreal.ssj.stochprocess.GeometricVarianceGammaProcess, umontreal.ssj.stochprocess.VarianceGammaProcess
• getNumAggregates() : umontreal.ssj.simexp.BatchMeansSim
• getNumberCV() : umontreal.ssj.mcqmctools.MonteCarloModelCV
• getNumberOfRandomStreams() : umontreal.ssj.stochprocess.InverseGaussianProcess
• getNumBins() : umontreal.ssj.stat.density.DEHistogram, umontreal.ssj.stat.ScaledHistogram, umontreal.ssj.stat.TallyHistogram
• getNumCachedValues() : umontreal.ssj.randvar.RandomVariateGenWithCache, umontreal.ssj.rng.RandomStreamWithCache
• getNumControlVariables() : umontreal.ssj.stat.list.lincv.FunctionOfMultipleMeansTallyWithCV, umontreal.ssj.stat.list.lincv.ListOfTalliesWithCV< E extends Tally >
• getNumObservationTimes() : umontreal.ssj.stochprocess.StochasticProcess
• getNumPoints() : umontreal.ssj.discrepancy.Discrepancy, umontreal.ssj.hups.ContainerPointSet, umontreal.ssj.hups.HaltonSequence, umontreal.ssj.hups.PointSet, umontreal.ssj.hups.RQMCPointSet, umontreal.ssj.mcqmctools.anova.Integrator, umontreal.ssj.mcqmctools.anova.MonteCarloIntegrator, umontreal.ssj.mcqmctools.anova.Replicator
• getNumReplicates() : umontreal.ssj.mcqmctools.anova.Replicator
• getNumSamples() : umontreal.ssj.mcqmctools.anova.MonteCarloSampler, umontreal.ssj.mcqmctools.anova.QMCSampler, umontreal.ssj.mcqmctools.anova.RQMCSampler, umontreal.ssj.mcqmctools.anova.Sampler
• getNumSimulationsPerSample() : umontreal.ssj.mcqmctools.anova.MonteCarloSampler, umontreal.ssj.mcqmctools.anova.QMCSampler, umontreal.ssj.mcqmctools.anova.RQMCSampler, umontreal.ssj.mcqmctools.anova.Sampler
• getObs() : umontreal.ssj.probdist.EmpiricalDist, umontreal.ssj.probdist.PiecewiseLinearEmpiricalDist
• getObservation() : umontreal.ssj.stochprocess.MultivariateStochasticProcess, umontreal.ssj.stochprocess.StochasticProcess
• getObservationTimes() : umontreal.ssj.stochprocess.StochasticProcess
• getOmega() : umontreal.ssj.stochprocess.GeometricLevyProcess, umontreal.ssj.stochprocess.GeometricVarianceGammaProcess
• getOrder() : umontreal.ssj.probdist.InverseDistFromDensity, umontreal.ssj.randvar.ExponentialInverseFromDensityGen, umontreal.ssj.randvar.InverseFromDensityGen, umontreal.ssj.randvar.NormalInverseFromDensityGen, umontreal.ssj.stat.density.DensityDerivativeEstimator
• getOrderDependentWeights() : umontreal.ssj.latnetbuilder.weights.PODWeights
• getOriginalPointSet() : umontreal.ssj.hups.ContainerPointSet
• getOtherStream() : umontreal.ssj.stochprocess.InverseGaussianProcessMSH
• getOutlineWidth() : umontreal.ssj.charts.HistogramSeriesCollection
• getP() : umontreal.ssj.probdist.BernoulliDist, umontreal.ssj.probdist.BinomialDist, umontreal.ssj.probdist.GeometricDist, umontreal.ssj.probdist.NegativeBinomialDist, umontreal.ssj.probdistmulti.MultinomialDist, umontreal.ssj.probdistmulti.NegativeMultinomialDist, umontreal.ssj.randvar.BernoulliGen, umontreal.ssj.randvar.BinomialGen, umontreal.ssj.randvar.GeometricGen, umontreal.ssj.randvar.NegativeBinomialGen, umontreal.ssj.randvar.PascalGen
• getParams() : umontreal.ssj.probdist.AndersonDarlingDist, umontreal.ssj.probdist.BernoulliDist, umontreal.ssj.probdist.BetaDist, umontreal.ssj.probdist.BetaSymmetricalDist, umontreal.ssj.probdist.BinomialDist, umontreal.ssj.probdist.CauchyDist, umontreal.ssj.probdist.ChiDist, umontreal.ssj.probdist.ChiSquareDist, umontreal.ssj.probdist.ChiSquareNoncentralDist, umontreal.ssj.probdist.CramerVonMisesDist, umontreal.ssj.probdist.DiscreteDistribution, umontreal.ssj.probdist.Distribution, umontreal.ssj.probdist.EmpiricalDist, umontreal.ssj.probdist.ErlangDist, umontreal.ssj.probdist.ExponentialDist, umontreal.ssj.probdist.ExtremeValueDist, umontreal.ssj.probdist.FatigueLifeDist, umontreal.ssj.probdist.FisherFDist, umontreal.ssj.probdist.FoldedNormalDist, umontreal.ssj.probdist.FrechetDist, umontreal.ssj.probdist.GammaDist, umontreal.ssj.probdist.GeometricDist, umontreal.ssj.probdist.GumbelDist, umontreal.ssj.probdist.HalfNormalDist, umontreal.ssj.probdist.HyperbolicSecantDist, umontreal.ssj.probdist.HypergeometricDist, umontreal.ssj.probdist.HypoExponentialDist, umontreal.ssj.probdist.HypoExponentialDistEqual, umontreal.ssj.probdist.InverseDistFromDensity, umontreal.ssj.probdist.InverseGammaDist, umontreal.ssj.probdist.InverseGaussianDist, umontreal.ssj.probdist.JohnsonSystem, umontreal.ssj.probdist.KolmogorovSmirnovDist, umontreal.ssj.probdist.KolmogorovSmirnovPlusDist, umontreal.ssj.probdist.LaplaceDist, umontreal.ssj.probdist.LogarithmicDist, umontreal.ssj.probdist.LogisticDist, umontreal.ssj.probdist.LoglogisticDist, umontreal.ssj.probdist.LognormalDist, umontreal.ssj.probdist.NakagamiDist, umontreal.ssj.probdist.NegativeBinomialDist, umontreal.ssj.probdist.NormalDist, umontreal.ssj.probdist.NormalInverseGaussianDist, umontreal.ssj.probdist.ParetoDist, umontreal.ssj.probdist.Pearson5Dist, umontreal.ssj.probdist.Pearson6Dist, umontreal.ssj.probdist.PiecewiseLinearEmpiricalDist, umontreal.ssj.probdist.PoissonDist, umontreal.ssj.probdist.PowerDist, umontreal.ssj.probdist.RayleighDist, umontreal.ssj.probdist.StudentDist, umontreal.ssj.probdist.TriangularDist, umontreal.ssj.probdist.TruncatedDist, umontreal.ssj.probdist.UniformDist, umontreal.ssj.probdist.UniformIntDist, umontreal.ssj.probdist.WatsonGDist, umontreal.ssj.probdist.WatsonUDist, umontreal.ssj.probdist.WeibullDist
• getParentPointSet() : umontreal.ssj.hups.CachedPointSet
• getPath() : umontreal.ssj.stochprocess.StochasticProcess
• getPCADecompSigma() : umontreal.ssj.randvarmulti.MultinormalPCAGen
• getPerformance() : tutorial.AsianGBM2, tutorial.San13Dist, tutorial.TestAsianRQMCSeries, umontreal.ssj.markovchainrqmc.MarkovChain, umontreal.ssj.markovchainrqmc.MarkovChainDouble, umontreal.ssj.mcqmctools.anova.AnovaVarianceEstimator, umontreal.ssj.mcqmctools.anova.PartialVarianceEstimator, umontreal.ssj.mcqmctools.MonteCarloModel< E >, umontreal.ssj.mcqmctools.MonteCarloModelDouble, umontreal.ssj.mcqmctools.MonteCarloModelDoubleArray
• getPerformanceDim() : umontreal.ssj.mcqmctools.MonteCarloModelDoubleArray
• getPerformanceDouble() : umontreal.ssj.markovchainrqmc.MarkovChainDouble
• getPerformances() : umontreal.ssj.markovchainrqmc.ArrayOfComparableChains< T extends MarkovChainComparable >
• getPoint() : umontreal.ssj.util.multidimsort.MultiDim01
• getPointSet() : umontreal.ssj.hups.RQMCPointSet
• getPower() : umontreal.ssj.functions.PowerMathFunction
• getPrimes() : umontreal.ssj.hups.RadicalInverse
• getProb() : umontreal.ssj.charts.DiscreteDistIntChart
• getProcessInfo() : umontreal.ssj.util.Systeme
• getProductWeights() : umontreal.ssj.latnetbuilder.weights.PODWeights
• getProportionInBoundaries() : umontreal.ssj.stat.TallyHistogram
• getRandomization() : umontreal.ssj.hups.RQMCPointSet, umontreal.ssj.markovchainrqmc.ArrayOfComparableChains< T extends MarkovChainComparable >
• getRandomStreamClass() : umontreal.ssj.rng.BasicRandomStreamFactory
• getRandomStreamFactory() : umontreal.ssj.rng.RandomStreamInstantiationException
• getRangeBounds() : umontreal.ssj.charts.BoxSeriesCollection, umontreal.ssj.charts.SSJCategorySeriesCollection, umontreal.ssj.charts.SSJXYSeriesCollection
• getRealBatchEndingTime() : umontreal.ssj.simexp.BatchMeansSim
• getRealBatchLength() : umontreal.ssj.simexp.BatchMeansSim
• getRealBatchStartingTime() : umontreal.ssj.simexp.BatchMeansSim
• getRenderer() : umontreal.ssj.charts.SSJCategorySeriesCollection, umontreal.ssj.charts.SSJXYSeriesCollection
• getRequiredNewBatches() : umontreal.ssj.simexp.BatchMeansSim
• getRequiredNewObservations() : umontreal.ssj.simexp.SimExp
• getRequiredNewObservationsTally() : umontreal.ssj.simexp.SimExp
• getRequiredNewReplications() : umontreal.ssj.simexp.RepSim
• getRho() : umontreal.ssj.functionfit.SmoothingCubicSpline
• getRQMCPointSet() : umontreal.ssj.mcqmctools.anova.RQMCSampler
• getSampleMean() : umontreal.ssj.probdist.EmpiricalDist, umontreal.ssj.probdist.PiecewiseLinearEmpiricalDist
• getSampleStandardDeviation() : umontreal.ssj.probdist.EmpiricalDist, umontreal.ssj.probdist.PiecewiseLinearEmpiricalDist
• getSampleVariance() : umontreal.ssj.probdist.EmpiricalDist, umontreal.ssj.probdist.PiecewiseLinearEmpiricalDist
• getScaledHistogram() : umontreal.ssj.stat.density.DEHistogram
• getScaledVariance() : umontreal.ssj.mcqmctools.anova.MeanVarExperiment
• getSeconds() : umontreal.ssj.util.AbstractChrono
• getSeriesCollection() : umontreal.ssj.charts.BoxChart, umontreal.ssj.charts.EmpiricalChart, umontreal.ssj.charts.HistogramChart, umontreal.ssj.charts.HistogramSeriesCollection, umontreal.ssj.charts.ScatterChart, umontreal.ssj.charts.SSJCategorySeriesCollection, umontreal.ssj.charts.SSJXYSeriesCollection, umontreal.ssj.charts.XYLineChart
• getSeriesCount() : umontreal.ssj.charts.CustomHistogramDataset
• getSeriesKey() : umontreal.ssj.charts.CustomHistogramDataset
• getSet() : umontreal.ssj.mcqmctools.RQMCExperimentSeries
• getShiftDimension() : umontreal.ssj.hups.RandShiftedMod1PointSet
• getShortName() : umontreal.ssj.util.TimeUnit
• getSigma() : umontreal.ssj.probdist.FoldedNormalDist, umontreal.ssj.probdist.HalfNormalDist, umontreal.ssj.probdist.HyperbolicSecantDist, umontreal.ssj.probdist.LognormalDist, umontreal.ssj.probdist.NormalDist, umontreal.ssj.probdist.RayleighDist, umontreal.ssj.probdistmulti.MultiNormalDist, umontreal.ssj.randvar.FoldedNormalGen, umontreal.ssj.randvar.HalfNormalGen, umontreal.ssj.randvar.HyperbolicSecantGen, umontreal.ssj.randvar.LognormalGen, umontreal.ssj.randvar.NormalGen, umontreal.ssj.randvar.RayleighGen, umontreal.ssj.randvarmulti.MultinormalGen, umontreal.ssj.stochprocess.BrownianMotion, umontreal.ssj.stochprocess.CIRProcess, umontreal.ssj.stochprocess.CIRProcessEuler, umontreal.ssj.stochprocess.GeometricBrownianMotion, umontreal.ssj.stochprocess.GeometricVarianceGammaProcess, umontreal.ssj.stochprocess.OrnsteinUhlenbeckProcess, umontreal.ssj.stochprocess.VarianceGammaProcess
• getSigma1() : umontreal.ssj.probdistmulti.BiNormalDist
• getSigma2() : umontreal.ssj.probdistmulti.BiNormalDist
• getSimpleName() : umontreal.ssj.util.ClassFinder
• getSort() : umontreal.ssj.hups.SortedAndCutPointSet, umontreal.ssj.markovchainrqmc.ArrayOfComparableChains< T extends MarkovChainComparable >
• getSortCoordinate() : umontreal.ssj.util.multidimsort.OneDimSort< T extends MultiDimComparable<? super T > >
• getSortedEigenvalues() : umontreal.ssj.stochprocess.BrownianMotionPCA
• getSplinePolynomials() : umontreal.ssj.functionfit.SmoothingCubicSpline
• getStandardDeviation() : umontreal.ssj.probdist.BernoulliDist, umontreal.ssj.probdist.BetaDist, umontreal.ssj.probdist.BetaSymmetricalDist, umontreal.ssj.probdist.BinomialDist, umontreal.ssj.probdist.CauchyDist, umontreal.ssj.probdist.ChiDist, umontreal.ssj.probdist.ChiSquareDist, umontreal.ssj.probdist.ChiSquareNoncentralDist, umontreal.ssj.probdist.ConstantDist, umontreal.ssj.probdist.ContinuousDistribution, umontreal.ssj.probdist.CramerVonMisesDist, umontreal.ssj.probdist.DiscreteDistribution, umontreal.ssj.probdist.Distribution, umontreal.ssj.probdist.EmpiricalDist, umontreal.ssj.probdist.ErlangDist, umontreal.ssj.probdist.ExponentialDist, umontreal.ssj.probdist.ExtremeValueDist, umontreal.ssj.probdist.FatigueLifeDist, umontreal.ssj.probdist.FisherFDist, umontreal.ssj.probdist.FoldedNormalDist, umontreal.ssj.probdist.FrechetDist, umontreal.ssj.probdist.GammaDist, umontreal.ssj.probdist.GeometricDist, umontreal.ssj.probdist.GumbelDist, umontreal.ssj.probdist.HalfNormalDist, umontreal.ssj.probdist.HyperbolicSecantDist, umontreal.ssj.probdist.HypergeometricDist, umontreal.ssj.probdist.HypoExponentialDist, umontreal.ssj.probdist.InverseGammaDist, umontreal.ssj.probdist.InverseGaussianDist, umontreal.ssj.probdist.JohnsonSBDist, umontreal.ssj.probdist.JohnsonSLDist, umontreal.ssj.probdist.JohnsonSUDist, umontreal.ssj.probdist.LaplaceDist, umontreal.ssj.probdist.LogarithmicDist, umontreal.ssj.probdist.LogisticDist, umontreal.ssj.probdist.LoglogisticDist, umontreal.ssj.probdist.LognormalDist, umontreal.ssj.probdist.NakagamiDist, umontreal.ssj.probdist.NegativeBinomialDist, umontreal.ssj.probdist.NormalDist, umontreal.ssj.probdist.NormalInverseGaussianDist, umontreal.ssj.probdist.ParetoDist, umontreal.ssj.probdist.Pearson5Dist, umontreal.ssj.probdist.Pearson6Dist, umontreal.ssj.probdist.PiecewiseLinearEmpiricalDist, umontreal.ssj.probdist.PoissonDist, umontreal.ssj.probdist.PowerDist, umontreal.ssj.probdist.RayleighDist, umontreal.ssj.probdist.StudentDist, umontreal.ssj.probdist.TriangularDist, umontreal.ssj.probdist.TruncatedDist, umontreal.ssj.probdist.UniformDist, umontreal.ssj.probdist.UniformIntDist, umontreal.ssj.probdist.WatsonUDist, umontreal.ssj.probdist.WeibullDist
• getStartX() : umontreal.ssj.charts.CustomHistogramDataset
• getStartY() : umontreal.ssj.charts.CustomHistogramDataset
• getStatCollecting() : umontreal.ssj.simevents.ListWithStat< E >
• getState() : umontreal.ssj.rng.LFSR113, umontreal.ssj.rng.LFSR258, umontreal.ssj.rng.MRG31k3p, umontreal.ssj.rng.MRG32k3a, umontreal.ssj.rng.WELL512
• getStateDimension() : umontreal.ssj.markovchainrqmc.MarkovChainComparable, umontreal.ssj.markovchainrqmc.MarkovChainDouble, umontreal.ssj.util.multidimsort.MultiDimComparable< T >
• getStatesDouble() : umontreal.ssj.markovchainrqmc.ArrayOfDoubleChains
• getStream() : umontreal.ssj.hups.EmptyRandomization, umontreal.ssj.hups.NestedUniformScrambling, umontreal.ssj.hups.PointSetRandomization, umontreal.ssj.hups.RandomShift, umontreal.ssj.hups.RandomStart, umontreal.ssj.mcqmctools.anova.MonteCarloSampler, umontreal.ssj.mcqmctools.anova.RandomIntegrator, umontreal.ssj.mcqmctools.anova.RandomSampler, umontreal.ssj.mcqmctools.anova.Replicator, umontreal.ssj.mcqmctools.anova.RQMCSampler, umontreal.ssj.randvar.RandomVariateGen, umontreal.ssj.randvar.RandomVariateGenWithCache, umontreal.ssj.randvarmulti.RandomMultivariateGen, umontreal.ssj.stochprocess.BrownianMotion, umontreal.ssj.stochprocess.CIRProcess, umontreal.ssj.stochprocess.CIRProcessEuler, umontreal.ssj.stochprocess.GammaProcess, umontreal.ssj.stochprocess.GeometricBrownianMotion, umontreal.ssj.stochprocess.GeometricLevyProcess, umontreal.ssj.stochprocess.GeometricVarianceGammaProcess, umontreal.ssj.stochprocess.InverseGaussianProcess, umontreal.ssj.stochprocess.InverseGaussianProcessBridge, umontreal.ssj.stochprocess.InverseGaussianProcessMSH, umontreal.ssj.stochprocess.InverseGaussianProcessPCA, umontreal.ssj.stochprocess.MultivariateBrownianMotion, umontreal.ssj.stochprocess.MultivariateGeometricBrownianMotion, umontreal.ssj.stochprocess.NormalInverseGaussianProcess, umontreal.ssj.stochprocess.OrnsteinUhlenbeckProcess, umontreal.ssj.stochprocess.StochasticProcess, umontreal.ssj.stochprocess.VarianceGammaProcess, umontreal.ssj.stochprocess.VarianceGammaProcessDiff
• getStream2() : umontreal.ssj.randvar.BetaSymmetricalBestGen, umontreal.ssj.randvar.BetaSymmetricalPolarGen
• getStream3() : umontreal.ssj.randvar.BetaSymmetricalBestGen
• getStreams() : umontreal.ssj.rng.RandomStreamManager
• getSubpath() : umontreal.ssj.stochprocess.MultivariateStochasticProcess, umontreal.ssj.stochprocess.StochasticProcess
• getSum() : umontreal.ssj.simexp.BatchMeansSim
• getTag() : tutorial.AsianGBM2, tutorial.San13Dist, tutorial.TestAsianRQMCSeries, umontreal.ssj.mcqmctools.anova.AnovaVarianceEstimator, umontreal.ssj.mcqmctools.anova.PartialVarianceEstimator, umontreal.ssj.mcqmctools.MonteCarloModel< E >, umontreal.ssj.mcqmctools.MonteCarloModelDouble, umontreal.ssj.mcqmctools.MonteCarloModelDoubleArray
• getTargetBatches() : umontreal.ssj.simexp.BatchMeansSim
• getTargetReplications() : umontreal.ssj.simexp.RepSim
• getTheta() : umontreal.ssj.probdist.LogarithmicDist, umontreal.ssj.randvar.LogarithmicGen, umontreal.ssj.stochprocess.GeometricVarianceGammaProcess, umontreal.ssj.stochprocess.VarianceGammaProcess
• getTheta0() : umontreal.ssj.randvar.LogarithmicGen
• getTimeInterval() : umontreal.ssj.util.Misc
• getTitle() : umontreal.ssj.charts.CategoryChart, umontreal.ssj.charts.MultipleDatasetChart, umontreal.ssj.charts.XYChart
• getTotal() : umontreal.ssj.charts.CustomHistogramDataset
• getTotalAnalyticDiscount() : umontreal.ssj.stochprocess.OrnsteinUhlenbeckWithIntegratedProcess
• getTotalSimulations() : umontreal.ssj.mcqmctools.anova.Integrator, umontreal.ssj.mcqmctools.anova.MonteCarloIntegrator, umontreal.ssj.mcqmctools.anova.Replicator
• getTotalVariance() : umontreal.ssj.mcqmctools.anova.AnovaVarianceCollector
• getTotalVarianceForCoordinate() : umontreal.ssj.mcqmctools.anova.AnovaVarianceCollector
• getTruncationLevel() : umontreal.ssj.latnetbuilder.weights.GeometricWeights
• getTwinAxisPosition() : umontreal.ssj.charts.Axis
• getType() : umontreal.ssj.charts.CustomHistogramDataset, umontreal.ssj.util.io.DataField
• getUepsilon() : umontreal.ssj.randvar.ExponentialInverseFromDensityGen, umontreal.ssj.randvar.NormalInverseFromDensityGen
• getValue() : umontreal.ssj.charts.SSJCategorySeriesCollection, umontreal.ssj.probdist.DiscreteDistribution
• getValues() : umontreal.ssj.charts.CustomHistogramDataset, umontreal.ssj.charts.HistogramSeriesCollection
• getValuesCV() : umontreal.ssj.mcqmctools.MonteCarloModelCV
• getValuesList() : umontreal.ssj.charts.CustomHistogramDataset, umontreal.ssj.charts.HistogramSeriesCollection
• getValuesn() : umontreal.ssj.mcqmctools.RQMCExperimentSeries
• getVariance() : umontreal.ssj.probdist.BernoulliDist, umontreal.ssj.probdist.BetaDist, umontreal.ssj.probdist.BetaSymmetricalDist, umontreal.ssj.probdist.BinomialDist, umontreal.ssj.probdist.CauchyDist, umontreal.ssj.probdist.ChiDist, umontreal.ssj.probdist.ChiSquareDist, umontreal.ssj.probdist.ChiSquareNoncentralDist, umontreal.ssj.probdist.ConstantDist, umontreal.ssj.probdist.ContinuousDistribution, umontreal.ssj.probdist.CramerVonMisesDist, umontreal.ssj.probdist.DiscreteDistribution, umontreal.ssj.probdist.Distribution, umontreal.ssj.probdist.EmpiricalDist, umontreal.ssj.probdist.ErlangDist, umontreal.ssj.probdist.ExponentialDist, umontreal.ssj.probdist.ExtremeValueDist, umontreal.ssj.probdist.FatigueLifeDist, umontreal.ssj.probdist.FisherFDist, umontreal.ssj.probdist.FoldedNormalDist, umontreal.ssj.probdist.FrechetDist, umontreal.ssj.probdist.GammaDist, umontreal.ssj.probdist.GeometricDist, umontreal.ssj.probdist.GumbelDist, umontreal.ssj.probdist.HalfNormalDist, umontreal.ssj.probdist.HyperbolicSecantDist, umontreal.ssj.probdist.HypergeometricDist, umontreal.ssj.probdist.HypoExponentialDist, umontreal.ssj.probdist.InverseGammaDist, umontreal.ssj.probdist.InverseGaussianDist, umontreal.ssj.probdist.JohnsonSBDist, umontreal.ssj.probdist.JohnsonSLDist, umontreal.ssj.probdist.JohnsonSUDist, umontreal.ssj.probdist.LaplaceDist, umontreal.ssj.probdist.LogarithmicDist, umontreal.ssj.probdist.LogisticDist, umontreal.ssj.probdist.LoglogisticDist, umontreal.ssj.probdist.LognormalDist, umontreal.ssj.probdist.NakagamiDist, umontreal.ssj.probdist.NegativeBinomialDist, umontreal.ssj.probdist.NormalDist, umontreal.ssj.probdist.NormalInverseGaussianDist, umontreal.ssj.probdist.ParetoDist, umontreal.ssj.probdist.Pearson5Dist, umontreal.ssj.probdist.Pearson6Dist, umontreal.ssj.probdist.PiecewiseLinearEmpiricalDist, umontreal.ssj.probdist.PoissonDist, umontreal.ssj.probdist.PowerDist, umontreal.ssj.probdist.RayleighDist, umontreal.ssj.probdist.StudentDist, umontreal.ssj.probdist.TriangularDist, umontreal.ssj.probdist.TruncatedDist, umontreal.ssj.probdist.UniformDist, umontreal.ssj.probdist.UniformIntDist, umontreal.ssj.probdist.WatsonUDist, umontreal.ssj.probdist.WeibullDist
• getVarianceForOrder() : umontreal.ssj.mcqmctools.anova.AnovaVarianceCollector
• getVarianceFractionForOrder() : umontreal.ssj.mcqmctools.anova.AnovaVarianceCollector
• getVarianceGammaProcess() : umontreal.ssj.stochprocess.GeometricVarianceGammaProcess
• getVariances() : umontreal.ssj.mcqmctools.RQMCExperimentSeries
• getWarmupTime() : umontreal.ssj.simexp.BatchMeansSim
• getWeight() : umontreal.ssj.latnetbuilder.weights.SingletonWeight< T >
• getWeights() : umontreal.ssj.functionfit.SmoothingCubicSpline, umontreal.ssj.latnetbuilder.weights.Weights< T >, umontreal.ssj.randvar.MixtureGen
• getX() : umontreal.ssj.charts.CustomHistogramDataset, umontreal.ssj.charts.SSJXYSeriesCollection, umontreal.ssj.functionfit.BSpline, umontreal.ssj.functionfit.PolInterp, umontreal.ssj.functionfit.SmoothingCubicSpline, umontreal.ssj.functions.PiecewiseConstantFunction
• getX0() : umontreal.ssj.stochprocess.MultivariateStochasticProcess, umontreal.ssj.stochprocess.StochasticProcess
• getXAxis() : umontreal.ssj.charts.MultipleDatasetChart, umontreal.ssj.charts.XYChart
• getXc() : umontreal.ssj.probdist.InverseDistFromDensity, umontreal.ssj.randvar.InverseFromDensityGen
• getXi() : umontreal.ssj.probdist.JohnsonSystem, umontreal.ssj.randvar.JohnsonSystemG
• getXinf() : umontreal.ssj.probdist.ContinuousDistribution, umontreal.ssj.probdist.DiscreteDistribution, umontreal.ssj.probdist.DiscreteDistributionInt
• getXsup() : umontreal.ssj.probdist.ContinuousDistribution, umontreal.ssj.probdist.DiscreteDistribution, umontreal.ssj.probdist.DiscreteDistributionInt
• getY() : umontreal.ssj.charts.CustomHistogramDataset, umontreal.ssj.charts.SSJXYSeriesCollection, umontreal.ssj.functionfit.BSpline, umontreal.ssj.functionfit.PolInterp, umontreal.ssj.functionfit.SmoothingCubicSpline, umontreal.ssj.functions.PiecewiseConstantFunction
• getYAxis() : umontreal.ssj.charts.CategoryChart, umontreal.ssj.charts.MultipleDatasetChart, umontreal.ssj.charts.XYChart
• getZeroOverZeroValue() : umontreal.ssj.util.RatioFunction
• graphDistUnif() : umontreal.ssj.gof.GofFormat
• GumbelDist() : umontreal.ssj.probdist.GumbelDist
• GumbelGen() : umontreal.ssj.randvar.GumbelGen