qiskit.algorithms.optimizers.SteppableOptimizer.minimize

SteppableOptimizer.minimize(fun, x0, jac=None, bounds=None)

Minimizes the function.

For well behaved functions the user can call this method to minimize a function. If the user wants more control on how to evaluate the function a custom loop can be created using ask() and tell() and evaluating the function manually.

Parameters

• fun (Callable[[Union[float, ndarray]], float]) – Function to minimize.

• x0 (Union[float, ndarray]) – Initial point.

• jac (Optional[Callable[[Union[float, ndarray]], Union[float, ndarray]]]) – Function to compute the gradient.

• bounds (Optional[List[Tuple[float, float]]]) – Bounds of the search space.

Return type

OptimizerResult

Returns

Object containing the result of the optimization.