qiskit.optimization.converters.LinearEqualityToPenalty

class LinearEqualityToPenalty(penalty=None)

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

매개변수

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)

매개변수

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])	type penalty Optional[float]
convert(problem)	Convert a problem with equality constraints into an unconstrained problem.
interpret(x)	Convert the result of the converted problem back to that of the original problem

Attributes

penalty

Returns the penalty factor used in conversion.

convert(problem)

Convert a problem with equality constraints into an unconstrained problem.

매개변수

problem (QuadraticProgram) – The problem to be solved, that does not contain inequality constraints.

반환 형식

QuadraticProgram

반환값

The converted problem, that is an unconstrained problem.

예외

QiskitOptimizationError – If an inequality constraint exists.

interpret(x)

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

매개변수

x (Union[ndarray, List[float]]) – The result of the converted problem or the given result in case of FAILURE.

반환 형식

ndarray

반환값

The result of the original problem.

예외

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.

반환 형식

Optional[float]

반환값

The penalty factor used in conversion.