gemseo.algos.opt.augmented_lagrangian.augmented_lagrangian_order_1 module#
Augmented Lagrangian of order 1.
- class AugmentedLagrangianOrder1(algo_name='Augmented_Lagrangian_order_1')[source]#
Bases:
AugmentedLagrangianPenaltyHeuristic
An augmented Lagrangian algorithm of order 1.
The Lagrange multipliers are updated using gradient information computed using the
LagrangeMultipliers
class.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_1".
- Raises:
KeyError -- When the algorithm is not in the library.
- ALGORITHM_INFOS: ClassVar[dict[str, OptimizationAlgorithmDescription]] = {'Augmented_Lagrangian_order_1': OptimizationAlgorithmDescription(algorithm_name='Augmented_Lagrangian_order_1', internal_algorithm_name='Augmented_Lagrangian', library_name='', description='Augmented Lagrangian algorithm using gradient information', website='', Settings=<class 'gemseo.algos.opt.augmented_lagrangian.settings.augmented_lagrangian_order_1_settings.Augmented_Lagrangian_order_1_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=True)}#
The description of the algorithms contained in the library.