gemseo.algos.opt.augmented_lagrangian.augmented_lagrangian_order_1 module#

Augmented Lagrangian of order 1.

class AugmentedLagrangianOrder1(algo_name='Augmented_Lagrangian_order_1')[source]#

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 the OptimizationProblem are automatically initialized with the method DesignSpace.initialize_missing_current_values().

Initialize self. See help(type(self)) for accurate signature.

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.