robustness module¶
Boxplots to quantify the robustness of the optimum.
- class gemseo.post.robustness.Robustness(opt_problem)[source]
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.