qiskit.optimization.converters.LinearEqualityToPenalty¶

class LinearEqualityToPenalty(penalty=None)[Quellcode]¶

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)[Quellcode]¶

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.
`decode`(result)	DEPRECATED Decode a result into another form using the information of conversion.
`encode`(problem)	DEPRECATED Encode a QuadraticProgram into another form and keep the information required to decode the result.
`interpret`(result)	Convert the result of the converted problem back to that of the original problem

Attributes

Returns the penalty factor used in conversion.

convert(problem)[Quellcode]¶

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.

decode(result)¶

DEPRECATED Decode a result into another form using the information of conversion.

encode(problem)¶

DEPRECATED Encode a QuadraticProgram into another form and keep the information required to decode the result.

interpret(result)[Quellcode]¶

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

Parameter: result (OptimizationResult) – The result of the converted problem or the given result in case of FAILURE.
Rückgabetyp: OptimizationResult
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.