qiskit.algorithms.optimizers.SPSA.minimize¶
- SPSA.minimize(fun, x0, jac=None, bounds=None)[Quellcode]¶
Minimize the scalar function.
- Parameter
fun (Callable[[POINT], float]) – The scalar function to minimize.
x0 (POINT) – The initial point for the minimization.
jac (Callable[[POINT], POINT] | None) – The gradient of the scalar function
fun.bounds (list[tuple[float, float]] | None) – Bounds for the variables of
fun. This argument might be ignored if the optimizer does not support bounds.
- Rückgabe
The result of the optimization, containing e.g. the result as attribute
x.- Rückgabetyp