BraninModel

class BraninModel

Data class for the Branin test function.

Attributes:

dimint

The dimension of the problem, dim=2.

modelFunction

The Branin function

trueNoiseFunctionfloat

Constant, small noise .

noiseModelFunction

The noise function

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 .

xexact2Point

Second minima location .

xexact3Point

Third minima location .

xexactSample

All global minimas location gathered.

Examples

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

__init__()

Examples using the class

Kriging: metamodel of the Branin-Hoo function

Kriging: metamodel of the Branin-Hoo function

EfficientGlobalOptimization examples

EfficientGlobalOptimization examples