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============================================
Threshold probability: Simulation algorithms
============================================
.. currentmodule:: openturns
Simulations methods
===================
.. autosummary::
:toctree: _generated/
:template: class.rst_t
Simulation
DirectionalSampling
ImportanceSampling
LHS
MonteCarlo
PostAnalyticalSimulation
PostAnalyticalControlledImportanceSampling
PostAnalyticalImportanceSampling
QuasiMonteCarlo
RandomizedLHS
RandomizedQuasiMonteCarlo
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
Bisection
Brent
Secant
Simulation result
=================
.. autosummary::
:toctree: _generated/
:template: class.rst_t
SimulationResult
QuasiMonteCarloResult
|
