Index

A

absorbing_states() (pydtmc.MarkovChain property) absorption_probabilities() (pydtmc.MarkovChain property) absorption_times() (pydtmc.MarkovChain property)

accessibility_matrix() (pydtmc.MarkovChain property) adjacency_matrix() (pydtmc.MarkovChain property) approximation() (pydtmc.MarkovChain static method) are_communicating() (pydtmc.MarkovChain method)

B

backward_committor() (pydtmc.MarkovChain method)

backward_committor_probabilities() (pydtmc.MarkovChain method) birth_death() (pydtmc.MarkovChain static method)

C

closest_reversible() (pydtmc.MarkovChain method) communicating_classes() (pydtmc.MarkovChain property) conditional_distribution() (pydtmc.MarkovChain method)

conditional_probabilities() (pydtmc.MarkovChain method) cyclic_classes() (pydtmc.MarkovChain property) cyclic_states() (pydtmc.MarkovChain property)

D

determinant() (pydtmc.MarkovChain property)

E

entropy_rate() (pydtmc.MarkovChain property) entropy_rate_normalized() (pydtmc.MarkovChain property)

expected_rewards() (pydtmc.MarkovChain method) expected_transitions() (pydtmc.MarkovChain method)

F

fit_function() (pydtmc.MarkovChain static method) fit_standard() (pydtmc.MarkovChain static method) forward_committor() (pydtmc.MarkovChain method) forward_committor_probabilities() (pydtmc.MarkovChain method)

from_dictionary() (pydtmc.MarkovChain static method) from_file() (pydtmc.MarkovChain static method) from_matrix() (pydtmc.MarkovChain static method) fundamental_matrix() (pydtmc.MarkovChain property)

H

hitting_probabilities() (pydtmc.MarkovChain method)

I

identity() (pydtmc.MarkovChain static method) is_absorbing() (pydtmc.MarkovChain property) is_absorbing_state() (pydtmc.MarkovChain method) is_accessible() (pydtmc.MarkovChain method) is_aperiodic() (pydtmc.MarkovChain property) is_canonical() (pydtmc.MarkovChain property) is_cyclic_state() (pydtmc.MarkovChain method)

is_ergodic() (pydtmc.MarkovChain property) is_irreducible() (pydtmc.MarkovChain property) is_recurrent_state() (pydtmc.MarkovChain method) is_regular() (pydtmc.MarkovChain property) is_reversible() (pydtmc.MarkovChain property) is_symmetric() (pydtmc.MarkovChain property) is_transient_state() (pydtmc.MarkovChain method)

K

kemeny_constant() (pydtmc.MarkovChain property)

M

MarkovChain (class in pydtmc) mean_first_passage_times() (pydtmc.MarkovChain property) mean_first_passage_times_between() (pydtmc.MarkovChain method) mean_first_passage_times_to() (pydtmc.MarkovChain method)

mfpt() (pydtmc.MarkovChain property) mfpt_between() (pydtmc.MarkovChain method) mfpt_to() (pydtmc.MarkovChain method) mixing_rate() (pydtmc.MarkovChain property) mixing_time() (pydtmc.MarkovChain method)

O

order() (pydtmc.MarkovChain property)

P

p() (pydtmc.MarkovChain property) period() (pydtmc.MarkovChain property) periods() (pydtmc.MarkovChain property) pi() (pydtmc.MarkovChain property) plot_eigenvalues() (in module pydtmc)

plot_graph() (in module pydtmc) plot_redistributions() (in module pydtmc) plot_walk() (in module pydtmc) predict() (pydtmc.MarkovChain method) prior_probabilities() (pydtmc.MarkovChain method) pydtmc (module)

R

random() (pydtmc.MarkovChain static method) rank() (pydtmc.MarkovChain property) recurrence_times() (pydtmc.MarkovChain property)

recurrent_classes() (pydtmc.MarkovChain property) recurrent_states() (pydtmc.MarkovChain property) redistribute() (pydtmc.MarkovChain method) relaxation_rate() (pydtmc.MarkovChain property)

S

sensitivity() (pydtmc.MarkovChain method) size() (pydtmc.MarkovChain property) spectral_gap() (pydtmc.MarkovChain property)

states() (pydtmc.MarkovChain property) stationary_distributions() (pydtmc.MarkovChain property) steady_states() (pydtmc.MarkovChain property)

T

to_canonical() (pydtmc.MarkovChain method) to_canonical_form() (pydtmc.MarkovChain method) to_dictionary() (pydtmc.MarkovChain method) to_directed_graph() (pydtmc.MarkovChain method) to_file() (pydtmc.MarkovChain method) to_graph() (pydtmc.MarkovChain method)

to_lazy() (pydtmc.MarkovChain method) to_lazy_chain() (pydtmc.MarkovChain method) to_subchain() (pydtmc.MarkovChain method) topological_entropy() (pydtmc.MarkovChain property) transient_classes() (pydtmc.MarkovChain property) transient_states() (pydtmc.MarkovChain property) transition_probability() (pydtmc.MarkovChain method)

V

ValidationError

W

walk() (pydtmc.MarkovChain method)

walk_probability() (pydtmc.MarkovChain method)