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Threshold probability: Simulation algorithms
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.. currentmodule:: openturns

Simulations methods
===================

.. autosummary::
    :toctree: _generated/
    :template: class.rst_t

    SimulationAlgorithm
    SimulationResult
    EventSimulation
    ProbabilitySimulationAlgorithm
    DirectionalSampling
    PostAnalyticalSimulation
    PostAnalyticalControlledImportanceSampling
    PostAnalyticalImportanceSampling
    SubsetSampling
    AdaptiveDirectionalStratification
    NAIS
    CrossEntropyImportanceSampling
    PhysicalSpaceCrossEntropyImportanceSampling
    StandardSpaceCrossEntropyImportanceSampling

Wilks' method
=============

.. autosummary::
    :toctree: _generated/
    :template: class.rst_t

    Wilks

Simulation sensitivity analysis
===============================

.. autosummary::
    :toctree: _generated/
    :template: class.rst_t

    SimulationSensitivityAnalysis

Root Strategy
=============

.. autosummary::
    :toctree: _generated/
    :template: class.rst_t

    RootStrategy
    RiskyAndFast
    MediumSafe
    SafeAndSlow

Sampling Strategy
=================

.. autosummary::
    :toctree: _generated/
    :template: class.rst_t

    SamplingStrategy
    RandomDirection
    OrthogonalDirection

Non linear solvers
==================

.. autosummary::
    :toctree: _generated/
    :template: class.rst_t

    Solver

    :template: Solver.rst_t
    Bisection
    Brent
    Secant

Simulation result
=================

.. autosummary::
    :toctree: _generated/
    :template: class.rst_t

    SimulationResult
    ProbabilitySimulationResult
    SubsetSamplingResult
    NAISResult
    CrossEntropyResult
