qdesignoptimizer.anmod_optimizer module

class qdesignoptimizer.anmod_optimizer.ANModOptimizer(opt_targets: List[OptTarget], system_target_params: dict[str, float | int], adjustment_rate: float = 1, minimization_tol: float = 1e-12)

Bases: object

Approximate Nonlinear Model-driven Optimizer (ANModOptimizer)

calculate_target_design_var(system_optimized_params: dict[str, float | int], variables_with_units: dict[str, str]) → tuple[dict, list[dict]]

Calculate the new design value for the optimization targets.

static group_targets(optimization_targets: List[OptTarget]) → List[List[OptTarget]]

Group optimization targets based on their independent_target attribute.