gemseo / post

quad_approx module¶

Quadratic approximations of functions from the optimization history.

class gemseo.post.quad_approx.QuadApprox(opt_problem)[source]¶

Quadratic approximation of a function.

And cuts of the approximation.

The function index can be passed as option.

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.

check_options(**options)¶

Check the options of the post-processor.

Parameters:: **options (int | float | str | bool | Sequence[str] | tuple[float, float]) – The options of the post-processor.
Raises:: InvalidDataError – If an option is invalid according to the grammar.
Return type:: None

execute(save=True, show=False, file_path=None, directory_path=None, file_name=None, file_extension=None, fig_size=None, **options)¶

Post-process the optimization problem.

Parameters:

save (bool) –
If True, save the figure.

By default it is set to True.
show (bool) –
If True, display the figure.

By default it is set to False.
file_path (str | Path | None) – The path of the file to save the figures. If the extension is missing, use file_extension. If None, create a file path from directory_path, file_name and file_extension.
directory_path (str | Path | None) – The path of the directory to save the figures. If None, use the current working directory.
file_name (str | None) – The name of the file to save the figures. If None, use a default one generated by the post-processing.
file_extension (str | None) – A file extension, e.g. ‘png’, ‘pdf’, ‘svg’, … If None, use a default file extension.
fig_size (FigSizeType | None) – The width and height of the figure in inches, e.g. (w, h). If None, use the OptPostProcessor.DEFAULT_FIG_SIZE of the post-processor.
**options (OptPostProcessorOptionType) – The options of the post-processor.

Returns:

The figures, to be customized if not closed.

Raises:

ValueError – If the opt_problem.database is empty.

static unnormalize_vector(xn_array, ivar, lower_bounds, upper_bounds)[source]¶

Unormalize a variable with respect to bounds.

Parameters:

Returns:

The unnormalized variable.

Return type:

ndarray

DEFAULT_FIG_SIZE = (9.0, 6.0)¶: The default width and height of the figure, in inches.

property figures: dict[str, Figure]¶: The Matplotlib figures indexed by a name, or the nameless figure counter.

materials_for_plotting: dict[Any, Any]¶: The materials to eventually rebuild the plot in another framework.