qiskit.optimization.converters.LinearEqualityToPenalty

class LinearEqualityToPenalty(penalty=None)

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

Parameter

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)

Parameter

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.

Parameter

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

Rückgabetyp

QuadraticProgram

Rückgabe

The converted problem, that is an unconstrained problem.

Verursacht

QiskitOptimizationError – If an inequality constraint exists.

interpret(x)

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

Parameter

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

Rückgabetyp

ndarray

Rückgabe

The result of the original problem.

Verursacht

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.

Rückgabetyp

Optional[float]

Rückgabe

The penalty factor used in conversion.