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qiskit.algorithms.optimizers.SteppableOptimizer.start

abstract SteppableOptimizer.start(fun, x0, jac=None, bounds=None)[source]

Populates the state of the optimizer with the data provided and sets all the counters to 0.

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

None