qiskit.optimization.converters.LinearEqualityToPenalty
class LinearEqualityToPenalty(penalty=None)
Convert a problem with only equality constraints to unconstrained with penalty terms.
Parameters
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__
__init__(penalty=None)
Parameters
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 penaltyOptional[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
penalty | Returns the penalty factor used in conversion. |
convert
convert(problem)
Convert a problem with equality constraints into an unconstrained problem.
Parameters
problem (QuadraticProgram) – The problem to be solved, that does not contain inequality constraints.
Return type
QuadraticProgram
Returns
The converted problem, that is an unconstrained problem.
Raises
QiskitOptimizationError – If an inequality constraint exists.
decode
decode(result)
DEPRECATED Decode a result into another form using the information of conversion.
Return type
OptimizationResult
encode
encode(problem)
DEPRECATED Encode a QuadraticProgram into another form and keep the information required to decode the result.
Return type
QuadraticProgram
interpret
interpret(result)
Convert the result of the converted problem back to that of the original problem
Parameters
result (OptimizationResult) – The result of the converted problem or the given result in case of FAILURE.
Return type
OptimizationResult
Returns
The result of the original problem.
Raises
QiskitOptimizationError – if the number of variables in the result differs from that of the original problem.
penalty
Returns the penalty factor used in conversion.
Return type
Optional[float]
Returns
The penalty factor used in conversion.