design_space module¶

The design space of the Sobieski’s SSBJ problem.

class gemseo.problems.sobieski.core.design_space.SobieskiDesignSpace(use_original_names=True, dtype=DataType.FLOAT, use_original_design_variables_order=False)[source]

Bases: DesignSpace

The design space of the Sobieski’s SSBJ problem.

Note

This design space includes both the design and coupling variables.

Parameters:

use_original_names (bool) –
Whether to use physical naming instead of original notations.

By default it is set to True.
dtype (SobieskiBase.DataType) –
The data type for the NumPy arrays, either “float64” or “complex128”.

By default it is set to “float64”.
use_original_design_variables_order (bool) –
Whether to sort the DesignSpace as in [SSAJr98]. If so, the order of the design variables will be "x_1", "x_2", "x_3" and "x_shared". Otherwise, "x_shared", "x_1", "x_2" and "x_3".

By default it is set to False.

filter_coupling_variables(copy=False)[source]

Filter the design space to keep only the coupling variables.

Parameters:

copy (bool) –

Whether to filter a copy of the design space or the design space itself.

By default it is set to False.

Returns:

Either the filtered original design space or a copy.

Return type:

SobieskiDesignSpace

filter_design_variables(copy=False)[source]

Filter the design space to keep only the design variables.

Parameters:

copy (bool) –

Whether to filter a copy of the design space or the design space itself.

By default it is set to False.

Returns:

Either the filtered original design space or a copy.

Return type:

SobieskiDesignSpace

dimension: int: The total dimension of the space, corresponding to the sum of the sizes of the variables.

name: str | None: The name of the space.

normalize: dict[str, ndarray]: The normalization policies of the variables components indexed by the variables names; if True, the component can be normalized.