SciPyOptimizer¶

class SciPyOptimizer(method, options=None, max_evals_grouped=1, **kwargs)[código fonte]¶

A general Qiskit Optimizer wrapping scipy.optimize.minimize.

Parâmetros

method (str | Callable) – Type of solver.
options (dict[str, Any] | None) – A dictionary of solver options.
kwargs – additional kwargs for scipy.optimize.minimize.
max_evals_grouped (int) – Max number of default gradient evaluations performed simultaneously.

Methods

`get_support_level`	Return support level dictionary
`gradient_num_diff`	We compute the gradient with the numeric differentiation in the parallel way, around the point x_center.
`minimize`	Minimize the scalar function.
`print_options`	Print algorithm-specific options.
`set_max_evals_grouped`	Set max evals grouped
`set_options`	Sets or updates values in the options dictionary.
`wrap_function`	Wrap the function to implicitly inject the args at the call of the function.

Attributes