def __init__(self, markov_chain: MarkovChain = None, identification: str=None):
"""
Constructor MCSSeriesLimitSimulation
:param markov_chain: MarkovChainConventionalApproach
:param identification: str
"""
MarkovChainSimulator.__init__(self, markov_chain, identification)
self._type = "MCSLimitingDistributiion"
def __init__(self, markov_chain: MarkovChain = None, identification: str = None):
"""
Constructor MCSMatrixPowering
:param: markov_chain: MarkovChainConventionalApproach
:param: get_identification: str
"""
MarkovChainSimulator.__init__(self, markov_chain, identification)
self._type = "MCSMatrixPowering"
def __init__(self, markov_chain: MarkovChain=None, identification: str=None):
"""
Constructor MCSModifiedCesaroLimit
:param: markov_chain: MarkovChainConventionalApproach
:param: get_identification: str
"""
MarkovChainSimulator.__init__(self, markov_chain, identification)
self._type = "MCSModifiedCesaroLimit"
def __init__(self, markov_chain: MarkovChainForwardApproach = None, cythonMode=False, identification: str = None):
"""
Constructor of the MCSForwardApproach
:param markov_chain: MarkovChainForwardApproach
:param cythonMode: cythonMode selection
:param identification: designation of the simulator
"""
MarkovChainSimulator.__init__(self, markov_chain, identification)
self._type = "MCSForwardApproach"
self.cythonMode = cythonMode
def __init__(self, research_mode, scheme, markov_chain: MarkovChain = None, identification: str = None):
"""
Constructor MCSDirectApproach
:param: markov_chain: MarkovChainConventionalApproach
:param: get_identification: str
"""
MarkovChainSimulator.__init__(self, markov_chain, identification)
self._research_mode = research_mode
self._scheme = scheme
self._type = "MCSDirectApproach"
def __init__(self,
markov_chain: MarkovChain = None,
identification: str = None):
"""
Constructor MCSSeriesLimitSimulation
:param markov_chain: MarkovChainConventionalApproach
:param identification: str
"""
MarkovChainSimulator.__init__(self, markov_chain, identification)
self._type = "MCSLimitingDistributiion"
def __init__(self, markov_chain: MarkovChain.MarkovChain = None, start_state = 0, identification: str=None):
"""
Constructor MCSMarkovChainSimulation
:get_type markov_chain: MarkovChainConventionalApproach
:get_type get_identification: str
"""
MarkovChainSimulator.__init__(self, markov_chain, identification)
self._type = "MCSRandomWalk"
self._start_state = start_state
self.randomWalk = None
def __init__(self,
markov_chain: MarkovChainForwardApproach = None,
cythonMode=False,
identification: str = None):
"""
Constructor of the MCSForwardApproach
:param markov_chain: MarkovChainForwardApproach
:param cythonMode: cythonMode selection
:param identification: designation of the simulator
"""
MarkovChainSimulator.__init__(self, markov_chain, identification)
self._type = "MCSForwardApproach"
self.cythonMode = cythonMode
def __init__(self,
research_mode,
scheme,
markov_chain: MarkovChain = None,
identification: str = None):
"""
Constructor MCSDirectApproach
:param: markov_chain: MarkovChainConventionalApproach
:param: get_identification: str
"""
MarkovChainSimulator.__init__(self, markov_chain, identification)
self._research_mode = research_mode
self._scheme = scheme
self._type = "MCSDirectApproach"
def __init__(self):
"""
Constructor
"""
self.markov_chain = MarkovChainConventionalApproach(None, None)
self.MCSimulator = MarkovChainSimulator(self.markov_chain)
self.researchMode = True
self.cythonMode = False
self.precision = 10e-16
self.discretization_precision = 10e-9
self.markov_chains = []
self.system_reset()
self._calculation_listener = None
self.number_of_mc = 0