(self, parameters, space_time_constraints)
Note that space-time constraints cannot be given
Note that space-time constraints cannot be given
Note that space - time constraints cannot be given
def __init__(self, parameters, space_time_constraints):
        """Note that space-time constraints cannot be given"""
        space_time_constraints = {"startTime":0, "startPosition":0}
        super(Periodic_drift_process,self).__init__(space_time_constraints)
        self.psi = parameters["psi"]
        self.theta = parameters["theta"]
        self._findBounds()        
        self.BB = Wiener_process({"mu":0, "sigma":1}, space_time_constraints)
        self.Poi = Marked_poisson_process({"rate":1, "U":self.max, "L":self.min, "startTime":0}) #need to create marked poisson process class
        self.Nor = stats.norm
        self.Uni = stats.uniform()
def __init__ ( self , parameters , space_time_constraints ) : space_time_constraints = { "startTime" : 0 , "startPosition" : 0 } super ( Periodic_drift_process , self ) . __init__ ( space_time_constraints ) self . psi = parameters [ "psi" ] self . theta = parameters [ "theta" ] self . _findBounds ( ) self . BB = Wiener_process ( { "mu" : 0 , "sigma" : 1 } , space_time_constraints ) self . Poi = Marked_poisson_process ( { "rate" : 1 , "U" : self . max , "L" : self . min , "startTime" : 0 } ) #need to create marked poisson process class self . Nor = stats . norm self . Uni = stats . uniform ( )