QuadraticObjective#

class QuadraticObjective(quadratic_program, constant=0.0, linear=None, quadratic=None, sense=ObjSense.MINIMIZE)[ソース]#

ベースクラス: QuadraticProgramElement

Representation of quadratic objective function of the form: constant + linear * x + x * quadratic * x.

Constructs a quadratic objective function.

パラメータ:

  • quadratic_program (Any) – The parent quadratic program.

  • constant (float) – The constant offset of the objective.

  • linear (ndarray | spmatrix | List[float] | Dict[int | str, float] | None) – The coefficients of the linear part of the objective.

  • quadratic (ndarray | spmatrix | List[List[float]] | Dict[Tuple[int | str, int | str], float] | None) – The coefficients of the quadratic part of the objective.

  • sense (ObjSense) – The optimization sense of the objective.

Attributes

constant#

Returns the constant part of the objective function.

戻り値:

The constant part of the objective function.

linear#

Returns the linear part of the objective function.

戻り値:

The linear part of the objective function.

quadratic#

Returns the quadratic part of the objective function.

戻り値:

The quadratic part of the objective function.

quadratic_program#

Returns the parent QuadraticProgram.

戻り値:

The parent QuadraticProgram.

sense#

Returns the sense of the objective function.

戻り値:

The sense of the objective function.

Methods

evaluate(x)[ソース]#

Evaluate the quadratic objective for given variable values.

パラメータ:

x (ndarray | List | Dict[int | str, float]) – The values of the variables to be evaluated.

戻り値:

The value of the quadratic objective given the variable values.

例外:

QiskitOptimizationError – if the shape of the objective function does not match with the number of variables.

戻り値の型:

float

evaluate_gradient(x)[ソース]#

Evaluate the gradient of the quadratic objective for given variable values.

パラメータ:

x (ndarray | List | Dict[int | str, float]) – The values of the variables to be evaluated.

戻り値:

The value of the gradient of the quadratic objective given the variable values.

例外:

QiskitOptimizationError – if the shape of the objective function does not match with the number of variables.

戻り値の型:

ndarray