rosenbrock module¶
Rosenbrock dataset.
This Dataset
contains 100 evaluations
of the well-known Rosenbrock function:
\[f(x,y)=(1-x)^2+100(y-x^2)^2\]
This function is known for its global minimum at point (1,1), its banana valley and the difficulty to reach its minimum.
This Dataset
is based on a full-factorial
design of experiments.
More information about the Rosenbrock function
- gemseo.problems.dataset.rosenbrock.create_rosenbrock_dataset(n_samples=100, opt_naming=True, categorize=True)[source]¶
Rosenbrock dataset parametrization.
- Parameters:
- Returns:
The Rosenbrock dataset.
- Return type:
Examples using create_rosenbrock_dataset¶
Calibration of a polynomial regression
Calibration of a polynomial regression