def __init__(self, **kwargs):
super(MlSdc, self).__init__(**kwargs)
IParallelSolver.__init__(self, **kwargs)
del self._state
del self._integrator
self.threshold = ThresholdCheck(min_threshold=1e-7, max_threshold=10, conditions=("residual", "iterations"))
self.timer = TimerBase()
self._dt = 0.0
self._ml_provider = None
self.__nodes_type = GaussLobattoNodes
self.__weights_type = PolynomialWeightFunction
self.__exact = np.zeros(0)
self.__deltas = None # deltas between nodes as array; for each level (0: coarsest)
self.__time_points = None # time points of nodes as array; for each level
def __init__(self, **kwargs):
super(ParallelSdc, self).__init__(**kwargs)
IParallelSolver.__init__(self, **kwargs)
del self._state
self.threshold = ThresholdCheck(min_threshold=1e-7, max_threshold=10, conditions=("residual", "iterations"))
self.timer = TimerBase()
self._num_time_steps = 1
self._dt = 0.0
self._deltas = {"t": 0.0, "n": np.zeros(0)}
self._classic = True
self.__nodes_type = GaussLobattoNodes
self.__weights_type = PolynomialWeightFunction
self.__num_nodes = 3
self.__exact = np.zeros(0)
self.__time_points = {"steps": np.zeros(0), "nodes": np.zeros(0)}