gemseo.mda.jacobi_settings module#

Settings for MDAJacobi.

Settings MDAJacobi_Settings(*, coupling_structure=None, linear_solver=LinearSolver.DEFAULT, linear_solver_settings=None, linear_solver_tolerance=1e-12, log_convergence=False, max_mda_iter=20, name='', tolerance=1e-06, use_lu_fact=False, warm_start=False, acceleration_method=AccelerationMethod.ALTERNATE_2_DELTA, over_relaxation_factor=1.0, n_processes=2, use_threading=True)[source]#

Bases: BaseParallelMDASettings

The settings for MDAJacobi.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Parameters:

  • coupling_structure (CouplingStructure | None)

  • linear_solver (LinearSolver) --

    By default it is set to "DEFAULT".

  • linear_solver_settings (Mapping[str, Any] | BaseLinearSolverSettings)

  • linear_solver_tolerance (Annotated[float, Ge(ge=0)]) --

    By default it is set to 1e-12.

  • log_convergence (bool) --

    By default it is set to False.

  • max_mda_iter (Annotated[int, Ge(ge=0)]) --

    By default it is set to 20.

  • name (str) --

    By default it is set to "".

  • tolerance (Annotated[float, Ge(ge=0)]) --

    By default it is set to 1e-06.

  • use_lu_fact (bool) --

    By default it is set to False.

  • warm_start (bool) --

    By default it is set to False.

  • acceleration_method (AccelerationMethod) --

    By default it is set to "Alternate2Delta".

  • over_relaxation_factor (Annotated[float, Le(le=2.0), Ge(ge=0)]) --

    By default it is set to 1.0.

  • n_processes (Annotated[int, Gt(gt=0)]) --

    By default it is set to 2.

  • use_threading (bool) --

    By default it is set to True.

Return type:

None

acceleration_method: AccelerationMethod = AccelerationMethod.ALTERNATE_2_DELTA#

The acceleration method used within the fixed point iterations.