FieldMonteCarloResult

class persalys.FieldMonteCarloResult(*args)

Get the results of a Monte Carlo analysis with mesh.

Methods

getClassName()

Accessor to the object's name.

getCorrelationFunction()

Correlation function accessor.

getDesignOfExperiment()

Design of experiments accessor.

getElapsedTime()

Elapsed time in seconds to perform the analysis.

getLowerQuantileSample()

Lower quantile accessor.

getMeanSample()

Mean trajectory accessor.

getName()

Accessor to the object's name.

getProcessSample()

Output values accessor.

getUpperQuantileSample()

Upper quantile accessor.

getXiSamples()

X_i distribution values accessor.

hasName()

Test if the object is named.

setDesignOfExperiment(doe)

Design of experiments accessor.

setName(name)

Accessor to the object's name.

getKarhunenLoeveResults

__init__(*args)
getClassName()

Accessor to the object’s name.

Returns:
class_namestr

The object class name (object.__class__.__name__).

getCorrelationFunction()

Correlation function accessor.

Returns:
functionssequence of openturns.Function

Correlation function for each output

getDesignOfExperiment()

Design of experiments accessor.

Returns:
designDesignOfExperiment

Design of experiments containing the analysed points

getElapsedTime()

Elapsed time in seconds to perform the analysis.

Returns:
timedouble

Elapsed time in seconds to perform the analysis

getLowerQuantileSample()

Lower quantile accessor.

Returns:
sampleopenturns.Sample

Lower quantile trajectory for each output at level defined in persalys.FieldMonteCarloAnalysis.getQuantileLevel()

getMeanSample()

Mean trajectory accessor.

Returns:
sampleopenturns.Sample

Mean trajectory for each output

getName()

Accessor to the object’s name.

Returns:
namestr

The name of the object.

getProcessSample()

Output values accessor.

Returns:
sampleopenturns.ProcessSample

Output values

getUpperQuantileSample()

Upper quantile accessor.

Returns:
sampleopenturns.Sample

Upper quantile trajectory for each output at 1-level defined in persalys.FieldMonteCarloAnalysis.getQuantileLevel()

getXiSamples()

X_i distribution values accessor.

Returns:
samplessequence of openturns.Sample

Distribution values of the X_i variables of the Karhunen Loeve decomposition

hasName()

Test if the object is named.

Returns:
hasNamebool

True if the name is not empty.

setDesignOfExperiment(doe)

Design of experiments accessor.

Parameters:
doe: :class:`~persalys.DesignOfExperiment`

Design od experiments to be used

setName(name)

Accessor to the object’s name.

Parameters:
namestr

The name of the object.