API Reference

Reliability problems

ReliabilityBenchmarkProblem(name, ...)

Class to define a benchmark problem.

AxialStressedBeamReliability([threshold])

Class to define a axial stressed beam benchmark problem.

RminusSReliability([threshold, muR, sigmaR, ...])

FourBranchSerialSystemReliability()

ReliabilityProblem53([threshold, mu1, ...])

ReliabilityProblem22([threshold, mu, sigma])

ReliabilityProblem24([threshold, mu, sigma])

ReliabilityProblem25([threshold, mu, sigma])

ReliabilityProblem28([threshold, mu1, ...])

ReliabilityProblem31([threshold, mu, sigma])

ReliabilityProblem35([threshold, mu, sigma])

ReliabilityProblem55([threshold, a, b])

ReliabilityProblem57([threshold, mu, sigma])

ReliabilityProblem75([threshold, mu, sigma])

ReliabilityProblem89([threshold, mu, sigma])

ReliabilityProblem110([threshold, mu, sigma])

ReliabilityProblem111([threshold, mu, sigma])

ReliabilityProblem33([threshold, mu, sigma])

ReliabilityProblem8([threshold, mu1, ...])

ReliabilityProblem14([threshold, a, b, mu2, ...])

ReliabilityProblem38([threshold, mu1, ...])

ReliabilityProblem54([threshold, expo])

ReliabilityProblem107([threshold, mu, sigma])

ReliabilityProblem91([threshold, mu1, ...])

ReliabilityProblem63([threshold, mu, sigma])

ReliabilityProblem60([threshold, mu1, ...])

ReliabilityProblem77([threshold, mu1, ...])

Reliability methods

FORM(problem, nearestPointAlgorithm)

SORM(problem, nearestPointAlgorithm)

SubsetSampling(problem)

ProbabilitySimulationAlgorithmFactory()

LHS(problem)

ReliabilityBenchmarkMetaAlgorithm(problem)

ReliabilityBenchmarkResult(exactProbability, ...)

ConditionalDistribution(distribution, ...[, ...])

A class to create a conditional distribution.

CrossCutFunction(function, referencePoint)

Create a drawable cross-cut function.

CrossCutDistribution(distribution)

A distribution with cross-cut drawable features.

DrawEvent(event[, insideEventPointColor, ...])

ReliabilityLibrary.ComputeLogRelativeError(...)

Compute the log-relative error between exact and computed.

ReliabilityLibrary.ComputeAbsoluteError(...)

Compute absolute error between exact and computed.

ReliabilityLibrary.ComputeRelativeError(...)

Compute relative error between exact and computed.

ReliabilityLibrary.ReliabilityBenchmarkProblemList()

Returns the list of reliability benchmark problems.

Sensitivity problems

SensitivityBenchmarkProblem(name, ...)

BoreholeSensitivity()

Class to define a Borehole sensitivity benchmark problem.

BorgonovoSensitivity()

Class to define a Borgonovo sensitivity benchmark problem.

OakleyOHaganSensitivity()

Class to define a Oakley-O'Hagan sensitivity benchmark problem.

DirichletSensitivity([alpha])

Class to define a Dirichlet sensitivity benchmark problem.

FloodingSensitivity()

Class to define a Flooding sensitivity benchmark problem.

NLOscillatorSensitivity()

Class to define a Oscillator sensitivity benchmark problem.

GaussianSumSensitivity([a, mu, sigma])

Class to define a gaussian sum sensitivity benchmark problem.

GaussianProductSensitivity([mu, sigma])

Class to define a linear sum sensitivity benchmark problem.

GSobolSensitivity([a])

Class to define the g-Sobol' sensitivity benchmark problem.

MorrisSensitivity([random_parameters])

Class to define the Morris sensitivity benchmark problem.

IshigamiSensitivity([a, b])

Class to define a Ishigami sensitivity benchmark problem.

SensitivityLibrary.SensitivityBenchmarkProblemList()

Returns the list of sensitivity analysis benchmark problems.

Sensitivity methods

SparsePolynomialChaosSensitivityAnalysis(...)

SensitivityBenchmarkMetaAlgorithm(problem)

SensitivityConvergence(problem, metaSAAlgorithm)

SensitivityDistribution(problem, ...[, ...])

Checks the distribution of the sensitivity indices estimators.

JanonSensitivityAlgorithm(inputDesign, ...)