autopdex.dae.TimeSteppingManager

class autopdex.dae.TimeSteppingManager(static_settings, settings={'current time': 0.0}, root_solver=<function newton_solver>, save_policy=None, step_size_controller=<autopdex.dae.ConstantStepSizeController object>, postprocessing_fun=<function TimeSteppingManager.<lambda>>, pre_step_updates=None, post_step_updates=None)

Manages the time stepping procedure for a simulation using multi-stage integration schemes.

This class orchestrates the simulation by coordinating various components such as:

• Time integrators for different fields,

• A root solver for implicit equations,

• An adaptive step size controller,

• A save policy for recording history,

• Pre-step and post-step update functions for custom processing.

The manager initializes the simulation state from given degrees of freedom (DOFs) and then runs a loop over a specified number of time steps. At each step, it computes the new state using multi-stage methods, applies error control and adaptive time stepping, and optionally records simulation history. The final state along with simulation statistics is returned.

__init__(static_settings, settings={'current time': 0.0}, root_solver=<function newton_solver>, save_policy=None, step_size_controller=<autopdex.dae.ConstantStepSizeController object>, postprocessing_fun=<function TimeSteppingManager.<lambda>>, pre_step_updates=None, post_step_updates=None)

Methods

__delattr__(name, /)	Implement delattr(self, name).
__dir__()	Default dir() implementation.
__eq__(value, /)	Return self==value.
__format__(format_spec, /)	Default object formatter.
__ge__(value, /)	Return self>=value.
__getattribute__(name, /)	Return getattr(self, name).
__getstate__()	Helper for pickle.
__gt__(value, /)	Return self>value.
__hash__()	Return hash(self).
__init_subclass__	This method is called when a class is subclassed.
__le__(value, /)	Return self<=value.
__lt__(value, /)	Return self<value.
__ne__(value, /)	Return self!=value.
__new__(**kwargs)
__reduce__()	Helper for pickle.
__reduce_ex__(protocol, /)	Helper for pickle.
__repr__()	Return repr(self).
__setattr__(name, value, /)	Implement setattr(self, name, value).
__sizeof__()	Size of object in memory, in bytes.
__str__()	Return str(self).
__subclasshook__	Abstract classes can override this to customize issubclass().
_assemble_sparse_tangent(x_flat, q_n, q_t_n, ...)
_assemble_sparse_tangent_domain(x_flat, q_n, ...)
_initialize(dofs)	Initializes history for multi-step methods and stores the global DOF structure as a template for unflattening.
_multi_stage_step(q, t, t_n, dt, q_n, q_t_n, ...)
_tree_flatten(obj)
_tree_unflatten(aux_data, children)
run(dofs, dt0, t_max, num_time_steps[, settings])	Executes the time stepping loop for the simulation.

Attributes

__annotations__
__dict__
__doc__
__module__
__weakref__	list of weak references to the object