qiskit.algorithms.optimizers.SNOBFIT.minimize¶

SNOBFIT.minimize(fun, x0, jac=None, bounds=None)[source]¶

Minimize the scalar function.

Parameters

fun (Callable[[Union[float, ndarray]], float]) – The scalar function to minimize.
x0 (Union[float, ndarray]) – The initial point for the minimization.
jac (Optional[Callable[[Union[float, ndarray]], Union[float, ndarray]]]) – The gradient of the scalar function fun.
bounds (Optional[List[Tuple[float, float]]]) – Bounds for the variables of fun. This argument might be ignored if the optimizer does not support bounds.

Return type

OptimizerResult

Returns

The result of the optimization, containing e.g. the result as attribute x.