qiskit.optimization.converters.LinearEqualityToPenalty¶

class LinearEqualityToPenalty(penalty=None)[source]¶

Convert a problem with only equality constraints to unconstrained with penalty terms.

Paramètres: penalty (Optional[float]) – Penalty factor to scale equality constraints that are added to objective. If None is passed, penalty factor will be automatically calculated.

__init__(penalty=None)[source]¶

Paramètres: penalty (Optional[float]) – Penalty factor to scale equality constraints that are added to objective. If None is passed, penalty factor will be automatically calculated.

Methods

__init__([penalty])

Convert a problem with equality constraints into an unconstrained problem.

Convert the result of the converted problem back to that of the original problem

Attributes

Returns the penalty factor used in conversion.

convert(problem)[source]¶

Convert a problem with equality constraints into an unconstrained problem.

Paramètres: problem (QuadraticProgram) – The problem to be solved, that does not contain inequality constraints.
Type renvoyé: QuadraticProgram
Renvoie: The converted problem, that is an unconstrained problem.
Lève: QiskitOptimizationError – If an inequality constraint exists.

interpret(x)[source]¶

Convert the result of the converted problem back to that of the original problem

Paramètres: x (Union[ndarray, List[float]]) – The result of the converted problem or the given result in case of FAILURE.
Type renvoyé: ndarray
Renvoie: The result of the original problem.
Lève: QiskitOptimizationError – if the number of variables in the result differs from that of the original problem.

property penalty¶

Returns the penalty factor used in conversion.