least_squares module

Define LeastSquares, a simple and fast optimization method.

class LeastSquares(*, compensating_elements: Collection[Element], elts: ListOfElements, objectives: Collection[Objective], variables: Collection[Variable], compute_beam_propagation: Callable[[SetOfCavitySettings], SimulationOutput], compute_residuals: Callable[[SimulationOutput], Any], cavity_settings_factory: CavitySettingsFactory, reference_simulation_output: SimulationOutput, constraints: Collection[Constraint] | None = None, compute_constraints: Callable[[SimulationOutput], ndarray] | None = None, optimisation_algorithm_kwargs: dict[str, Any] | None = None, history_kwargs: dict[str, Any] | None = None, **kwargs)

Bases: DownhillSimplex

Plain least-squares method, efficient for small problems.

See also

LeastSquaresPenalty

supports_constraints: bool = False

optimize() → OptiSol

Set up the optimization and solve the problem.

Returns:: info – Gives list of solutions, corresponding objective, convergence violation if applicable, etc.
Return type:: OptiSol

property _default_kwargs: dict: Create the kwargs for the optimisation.

_abc_impl = <_abc._abc_data object at 0x7f36f75b1c40>