tequila.optimizers.optimizer_scipy.OptimizerSciPy

class tequila.optimizers.optimizer_scipy.OptimizerSciPy(method: str = 'L-BFGS-B', tol: numbers.Real = None, method_options=None, method_bounds=None, method_constraints=None, **kwargs)

Bases: tequila.optimizers.optimizer_base.Optimizer

Class wrapping over the scipy optimizer for use by Tequila.

Variables

• method – The scipy optimization method passed as string.

• tol – See scipy documentation for the method you picked

• method_options – See scipy documentation for the method you picked

• method_bounds – See scipy documentation for the method you picked

• method_constraints – See scipy documentation for the method you picked

• silent – if False, the optimizer prints out all evaluated energies

__init__(method: str = 'L-BFGS-B', tol: numbers.Real = None, method_options=None, method_bounds=None, method_constraints=None, **kwargs)

Parameters

• method (str: Default = 'L-BFGS-B') – The scipy optimization method passed as string.

• tol (float, optional) – See scipy documentation for the method you picked

• method_options (optional) – See scipy documentation for the method you picked

• method_bounds (optional) – See scipy documentation for the method you picked

• method_constraints (optional) – See scipy documentation for the method you picked

• silent (bool) – If False the optimizer prints out all evaluated energies

Attributes

gradient_based_methods
gradient_free_methods
hessian_based_methods

Methods

available_methods	All tested available methods
compile_gradient	Convenience function to compile gradient objects and relavant types.
compile_hessian	Convenience function to compile hessians for optimizers which require it.
compile_objective	Convenience function to wrap over compile; for use by inheritors.
initialize_variables	Convenience function to format the variables of some objective recieved in calls to optimizers.
reset_history	Reset the optimizer history.