IshigamiModel

class IshigamiModel

Data class for the Ishigami model.

Examples

>>> from openturns.usecases import ishigami_function as ishigami_function
>>> # Load the Ishigami model
>>> im = ishigami_function.IshigamiModel()

Attributes

dimThe dimension of the problem

dim = 3

aConstant

a = 7.0

bConstant

b = 0.1

X1Uniform distribution

First marginal, ot.Uniform(-np.pi, np.pi)

X2Uniform distribution

Second marginal, ot.Uniform(-np.pi, np.pi)

X3Uniform distribution

Third marginal, ot.Uniform(-np.pi, np.pi)

distributionXComposedDistribution

The joint distribution of the input parameters.

ishigamiSymbolicFunction

The Ishigami model with a, b as variables.

modelParametricFunction

The Ishigami model with the a=7.0 and b=0.1 parameters fixed.

expectationConstant

Expectation of the output variable.

varianceConstant

Variance of the output variable.

S1Constant

First order Sobol index number 1

S2Constant

First order Sobol index number 2

S3Constant

First order Sobol index number 3

S12Constant

Second order Sobol index for marginals 1 and 2.

S13Constant

Second order Sobol index for marginals 1 and 3.

S23Constant

Second order Sobol index for marginals 2 and 3.

S123Constant

ST1Constant

Total order Sobol index number 1.

ST2Constant

Total order Sobol index number 2.

ST3Constant

Total order Sobol index number 3.

__init__()

Initialize self. See help(type(self)) for accurate signature.