rosen_mf module¶
A multi-fidelity Rosenbrock discipline.
- class gemseo.problems.optimization.rosen_mf.RosenMF(dimension=2)[source]
Bases:
MDODisciplineA multi-fidelity Rosenbrock discipline.
Its expression is \(\mathrm{fidelity} * \mathrm{Rosenbrock}(x)\) where both \(\mathrm{fidelity}\) and \(x\) are provided as input data.
Initialize self. See help(type(self)) for accurate signature.
- Parameters:
dimension (int) –
The dimension of the design space.
By default it is set to 2.
- cache: AbstractCache | None
The cache containing one or several executions of the discipline according to the cache policy.
- data_processor: DataProcessor
A tool to pre- and post-process discipline data.
- exec_for_lin: bool
Whether the last execution was due to a linearization.
- input_grammar: BaseGrammar
The input grammar.
- jac: MutableMapping[str, MutableMapping[str, ndarray | csr_array | JacobianOperator]]
The Jacobians of the outputs wrt inputs.
The structure is
{output: {input: matrix}}.
- name: str
The name of the discipline.
- output_grammar: BaseGrammar
The output grammar.
- re_exec_policy: ReExecutionPolicy
The policy to re-execute the same discipline.
- residual_variables: dict[str, str]
The output variables mapping to their inputs, to be considered as residuals; they shall be equal to zero.
- run_solves_residuals: bool
Whether the run method shall solve the residuals.