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.

__init__()