gemseo / post

Show inherited members

robustness module

Boxplots to quantify the robustness of the optimum.


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.


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


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.

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.