gemseo / post

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robustness module

Boxplots to quantify the robustness of the optimum.

class gemseo.post.robustness.Robustness(opt_problem)

Bases: OptPostProcessor

Uncertainty quantification at the optimum.

Compute the quadratic approximations of all the output functions, propagate analytically a normal distribution centered on the optimal design variables with a standard deviation which is a percentage of the mean passed in option (default: 1%) and plot the corresponding output boxplot.

Parameters:

opt_problem (OptimizationProblem) – The optimization problem to be post-processed.

Raises:

ValueError – If the JSON grammar file for the options of the post-processor does not exist.

DEFAULT_FIG_SIZE = (8.0, 5.0)

The default width and height of the figure, in inches.

SR1_APPROX = 'SR1'

database: Database

The database generated by the optimization problem.

materials_for_plotting: dict[Any, Any]

The materials to eventually rebuild the plot in another framework.

opt_problem: OptimizationProblem

The optimization problem.