SciPyOptimizer¶
- class SciPyOptimizer(method, options=None, max_evals_grouped=1, **kwargs)[source]¶
Bases :
Optimizer
A general Qiskit Optimizer wrapping scipy.optimize.minimize.
For further detail, please refer to https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.minimize.html
- Paramètres
method (
Union
[str
,Callable
]) – Type of solver.options (
Optional
[Dict
[str
,Any
]]) – 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
Return support level dictionary
We compute the gradient with the numeric differentiation in the parallel way, around the point x_center.
Minimize the scalar function.
Perform optimization.
Print algorithm-specific options.
Set max evals grouped
Sets or updates values in the options dictionary.
Wrap the function to implicitly inject the args at the call of the function.
Attributes
- bounds_support_level¶
Returns bounds support level
- gradient_support_level¶
Returns gradient support level
- initial_point_support_level¶
Returns initial point support level
- is_bounds_ignored¶
Returns is bounds ignored
- is_bounds_required¶
Returns is bounds required
- is_bounds_supported¶
Returns is bounds supported
- is_gradient_ignored¶
Returns is gradient ignored
- is_gradient_required¶
Returns is gradient required
- is_gradient_supported¶
Returns is gradient supported
- is_initial_point_ignored¶
Returns is initial point ignored
- is_initial_point_required¶
Returns is initial point required
- is_initial_point_supported¶
Returns is initial point supported
- setting¶
Return setting
- settings¶
- Type renvoyé
Dict
[str
,Any
]