1.1 BoolCollection
1.2 Description
1.3 Indices
1.4 Domain
1.5 HistogramPair
1.7 HistoryStrategy
1.8 Interval
1.9 Matrix
1.9.1 Matrix
1.9.2 ComplexMatrix
1.9.3 CorrelationMatrix
1.9.4 HermitianMatrix
1.9.5 SquareMatrix
1.9.6 Tensor
1.9.7 TriangularComplexMatrix
1.10 NumericalPoint
1.12 NumericalScalarCollection
1.13 UserDefinedPair
1.14 UserDefinedPairCollection
2.1 Distribution
2.2.1 Arcsine
2.2.2 Bernoulli
2.2.3 Beta
2.2.4 Binomial
2.2.5 Burr
2.2.6 Chi
2.2.7 ChiSquare
2.2.8 Dirichlet
2.2.9 Epanechnikov
2.2.10 Exponential
2.2.11 FisherSnedecor
2.2.12 Gamma
2.2.13 Geometric
2.2.14 Gumbel
2.2.15 Histogram
2.2.16 InverseNormal
2.2.17 Laplace
2.2.18 Logistic
2.2.19 LogNormal
2.2.20 LogUniform
2.2.21 Multinomial
2.2.22 NegativeBinomial
2.2.23 NonCentralChiSquare
2.2.24 NonCentralStudent
2.2.25 Normal
2.2.26 Poisson
2.2.27 Rayleigh
2.2.28 Rice
2.2.29 Student
2.2.30 Trapezoidal
2.2.31 Triangular
2.2.32 TruncatedNormal
2.2.33 Uniform
2.2.34 UserDefined
2.2.35 Weibull
2.2.36 ZipfMandelbrot
2.4 Copulas
2.4.1 Copula
2.4.2 ClaytonCopula
2.4.3 FrankCopula
2.4.4 GumbelCopula
2.4.5 IndependentCopula
2.4.6 MinCopula
2.4.7 NormalCopula
2.4.8 SklarCopula
2.4.9 ComposedCopula
2.6 Linear combination of probability density functions
2.6.1 Mixture
2.6.2 KernelMixture
2.6.3 KernelSmoothing
2.7 Affine combinations of independent univariate random variables
2.7.1 RandomMixture
2.8 Random vector
2.8.1 RandomVector
2.8.2 ConditionalRandomVector
3.1 Experiment
3.2 Stratified Design of Experimentss
3.2.1 StratifiedExperiment
3.2.2 Axial
3.2.3 Factorial
3.2.4 Composite
3.2.5 Box
3.4 Random Weighted Design of Experimentss
3.4.1 LHSExperiment
3.4.2 MonteCarloExperiment
3.4.3 ImportanceSamplingExperiment
3.5 Deterministic Weighted Experiments
3.5.1 FixedExperiment
3.5.2 LowDiscrepancyExperiment
3.5.3 GaussProductExperiment
3.6.1 FaureSequence
3.6.2 HaltonSequence
3.6.3 ReverseHaltonSequence
3.6.4 HaselgroveSequence
3.6.5 SobolSequence
4.1 DualLinearCombinationEvaluationImplementation
4.2 DualLinearCombinationGradientImplementation
4.3 DualLinearCombinationHessianImplementation
4.5 NumericalMathEvaluationImplementation
4.6 NumericalMathGradientImplementation
4.7 NumericalMathHessianImplementation
4.8 CenteredFiniteDifferenceMathGradientImplementation
4.9 NonCenteredFiniteDifferenceMathGradientImplementation
4.10 CenteredFiniteDifferenceMathHessianImplementation
4.11 FiniteDifferenceStep
4.12 ConstantStep
4.13 BlendedStep
4.14 MarginalTransformationEvaluation
4.15 SpatialFunction
4.16 TemporalFunction
4.17 DynamicalFunction
5 FFT
5.0.1 KissFFT
6 Graphs
6.1 Graph
6.2 Drawable
6.3 BarPlot
6.4 Cloud
6.5 Contour
6.6 Curve
6.7 Staircase
6.8 Pie
6.9 Show
7.1 Minimization of the distance under an equality constraint
7.1.1 NearestPointAlgorithm
7.1.2 Cobyla
7.1.3 CobylaSpecificParameters
7.1.4 AbdoRackwitz
7.1.5 AbdoRackwitzSpecificParameters
7.1.6 SQP
7.1.7 SQPSpecificParameters
7.1.8 NearestPointAlgorithmImplementationResult
7.2 Optimization of a function under an inequality constraint
7.2.1 BoundConstrainedAlgorithm
7.2.2 TNC (Truncated Newton Constrained)
7.2.3 TNCSpecificParameters
7.2.4 BoundConstrainedAlgorithmImplementationResult
8.3 ProductPolynomialEvaluationImplementation
9 Response Surface : Parametric Approximation
9.1.1 LinearTaylor
9.1.2 QuadraticTaylor
9.2 Least squares approximation
9.2.1 LinearLeastSquares
9.2.2 QuadraticLeastSquares
10 Response Surface : Functional Chaos Expansion
10.3 Construction of the multivariate orthogonal basis
10.3.1 OrthogonalBasis
10.3.2 OrthogonalProductPolynomialFactory
10.3.3 OrthogonalUniVariatePolynomialFamily
10.3.4 StandardDistributionPolynomialFactory
10.3.5 CharlierFactory
10.3.6 HermiteFactory
10.3.7 JacobiFactory
10.3.8 KrawtchoukFactory
10.3.9 LaguerreFactory
10.3.10 LegendreFactory
10.3.11 MeixnerFactory
10.3.12 OrthonormalizationAlgorithm
10.3.13 ChebychevAlgorithm
10.3.14 GramSchmidtAlgorithm
10.3.15 EnumerateFunction
10.3.16 LinearEnumerateFunction
10.3.17 HyperbolicAnisotropicEnumerateFunction
10.4 Construction of the truncated multivariate orthogonal basis
10.5 Construction of the truncated multivariate orthogonal basis
10.5.1 AdaptiveStrategy
10.5.2 FixedStrategy
10.5.3 SequentialStrategy
10.5.4 CleaningStrategy
10.6 Evaluation of the coefficients
10.6.1 ProjectionStrategy
10.6.2 LeastSquaresStrategy
10.6.3 IntegrationStrategy
10.6.4 ApproximationAlgorithmFactory
10.6.5 PenalizedLeastSquaresAlgorithmFactory
10.6.6 LeastSquaresMetaModelSelectionFactory
10.6.7 BasisSequenceFactory
10.6.8 LAR
10.6.9 FittingAlgorithm
10.6.10 CorrectedLeaveOneOut
10.6.11 KFold
10.7 FunctionalChaosRandomVector
11.1 Numerical Sample
11.1.1 NumericalComplexCollection
11.1.2 NumericalSample
11.2 Distribution factory
11.2.1 DistributionImplementationFactory
11.3 Correlation analysis
11.3.1 CorrelationAnalysis
11.4 Sensitivity Analysis
11.4.1 SensitivityAnalysis
11.5 Fitting test
11.5.1 TestResult
11.5.2 FittingTest
11.5.3 VisualTest
11.5.4 NormalityTest
11.5.5 HypothesisTest
11.5.6 LinearModelTest
11.6 Linear model
11.6.1 LinearModelFactory
11.6.2 LinearModel
12.1.1 Process
12.1.2 RegularGrid
12.1.3 TimeSeries
12.1.4 ProcessSample
12.1.5 TimeSeriesCollection
12.2 Temporal information
12.2.1 CovarianceModel
12.2.2 StationaryCovarianceModel
12.2.3 ExponentialModel
12.3 Spectral information
12.3.1 SpectralModel
12.3.2 CauchyModel
12.3.3 UserDefinedSpectralModel
12.3.4 SpectralModelFactory
12.3.5 WelchFactory
12.3.6 FilteringWindows
12.3.7 Hanning
12.3.8 Hamming
12.4 Link Temporal - Spectral information
12.4.1 SecondOrderModel
12.4.2 ExponentialCauchy
12.5 Normal process
12.5.1 NormalProcess
12.5.2 SpectralNormalProcess
12.5.3 TemporalNormalProcess
12.6 ARMA
12.6.1 ARMA
12.6.2 ARMACoefficients
12.6.3 ARMAState
12.6.4 BoxCoxFactory
12.6.5 BoxCoxTransform
12.6.6 InverseBoxCoxTransform
12.6.7 TrendFactory
12.6.8 TrendTransform
12.6.9 InverseTrendTransform
12.7 ARMAFactory
12.7.1 ARMAFactory
12.7.2 WhittleFactoryState
12.7.3 WhittleFactory
12.8 RandomWalk
12.9 WhiteNoise
12.10 CompositeProcess
12.10.1 CompositeProcess
13 Threshold probability : Reliability algorithms
13.1.1 Analytical
13.1.2 AnalyticalResult
13.1.3 Event
13.1.4 StandardEvent
13.1.5 FORM
13.1.6 FORMResult
13.1.7 SORM
13.1.8 SORMResult
13.2.1 StrongMaximumTest
14 Threshold probability : Simulation algorithms
14.1 RandomGenerator
14.2 Wilks
14.3 Simulation
14.4 MonteCarlo
14.5 LHS
14.6 RandomizedLHS
14.7 DirectionalSampling
14.7.1 DirectionalSampling
14.7.2 RootStrategy
14.7.3 RiskyAndFast
14.7.4 MediumSafe
14.7.5 SafeAndSlow
14.7.6 SamplingStrategy
14.7.7 RandomDirection
14.7.8 OrthogonalDirection
14.7.9 Solver
14.7.10 Bisection
14.7.11 Brent
14.7.12 Secant
14.8 ImportanceSampling
14.10 PostAnalyticalImportanceSampling
14.11 PostAnalyticalControlledImportanceSampling
14.12 QuasiMonteCarlo
14.13 RandomizedQuasiMonteCarlo
14.14 SimulationResult
15 Taylor decomposition of the limit state function
15.1 QuadraticCumul