BraninModel¶

class BraninModel¶

Data class for the Branin test function.

Examples

>>> from openturns.usecases import branin_function as branin_function
>>> # Load the Branin model
>>> bm = branin_function.BraninModel()

Attributes

dimThe dimension of the problem: dim=2.
trueNoiseFunctionConstant, small noise: $\epsilon=0.1$ .
modelComposedFunction, the Branin function and the noise.
objectiveFunctionFirst marginal of the model.: The Branin function without noise.
lowerboundPoint in dimension dim.: Default is 0.0 for each dimension.
upperboundPoint in dimension dim.: Default is 1.0 for each dimension.
xexact1Point: First minima location $[0.123895, 0.818329]$ .
xexact2Point: Second minima location $[0.542773, 0.151666]$ .
xexact3Point: Third minima location $[0.961652, 0.165000]$ .
xexactSample: All global minimas location gathered.

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