InequalityToEquality

class InequalityToEquality(mode='auto')

Bases: QuadraticProgramConverter

Convert inequality constraints into equality constraints by introducing slack variables.

Examples

>>> from qiskit_optimization.problems import QuadraticProgram
>>> from qiskit_optimization.converters import InequalityToEquality
>>> problem = QuadraticProgram()
>>> # define a problem
>>> conv = InequalityToEquality()
>>> problem2 = conv.convert(problem)

প্যারামিটার:

mode (str) --

To choose the type of slack variables. There are 3 options for mode.

• 'integer': All slack variables will be integer variables.

• 'continuous': All slack variables will be continuous variables.

• 'auto': Use integer variables if possible, otherwise use continuous variables.

Attributes

mode

Returns the mode of the converter

রিটার্নস:

The mode of the converter used for additional slack variables

Methods

convert(problem)

Convert a problem with inequality constraints into one with only equality constraints.

প্যারামিটার:

problem (QuadraticProgram) -- The problem to be solved, that may contain inequality constraints.

রিটার্নস:

The converted problem, that contain only equality constraints.

রেইজেস:

• QiskitOptimizationError -- If a variable type is not supported.

• QiskitOptimizationError -- If an unsupported mode is selected.

• QiskitOptimizationError -- If an unsupported sense is specified.

রিটার্ন টাইপ:

QuadraticProgram

interpret(x)

Convert a result of a converted problem into that of the original problem.

প্যারামিটার:

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

রিটার্নস:

The result of the original problem.

রিটার্ন টাইপ:

ndarray