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.

OpenTURNS