gemseo.algos.opt.augmented_lagrangian.augmented_lagrangian_order_0 module#
Augmented Lagrangian of order 0.
- class AugmentedLagrangianOrder0(algo_name='Augmented_Lagrangian_order_0')[source]#
Bases:
AugmentedLagrangianPenaltyHeuristic
An augmented Lagrangian algorithm of order 0.
The Lagrange multipliers are updated thanks to the constraint values solely (no gradient used).
Notes
The missing current values of the
DesignSpace
attached to theOptimizationProblem
are automatically initialized with the methodDesignSpace.initialize_missing_current_values()
.- Parameters:
algo_name (str) --
The algorithm name.
By default it is set to "Augmented_Lagrangian_order_0".
- Raises:
KeyError -- When the algorithm is not in the library.
- ALGORITHM_INFOS: ClassVar[dict[str, OptimizationAlgorithmDescription]] = {'Augmented_Lagrangian_order_0': OptimizationAlgorithmDescription(algorithm_name='Augmented_Lagrangian_order_0', internal_algorithm_name='Augmented_Lagrangian', library_name='', description='Augmented Lagrangian algorithm for gradient-less functions.', website='', Settings=<class 'gemseo.algos.opt.augmented_lagrangian.settings.augmented_lagrangian_order_0_settings.Augmented_Lagrangian_order_0_Settings'>, handle_integer_variables=False, handle_equality_constraints=True, handle_inequality_constraints=True, handle_multiobjective=False, positive_constraints=False, for_linear_problems=False, require_gradient=False)}#
The description of the algorithms contained in the library.