def __init__(self, V, **kwargs):
# Call the parent initialization
ParametrizedDifferentialProblem_DerivedClass.__init__(
self, V, **kwargs)
# Store values passed to decorator
self._store_exact_evaluation_stages(stages)
# Generate offline online backend for current problem
self.offline_online_backend = OfflineOnlineBackend(self.name())
def __init__(self, V, **kwargs):
# Call the parent initialization
ParametrizedDifferentialProblem_DerivedClass.__init__(self, V, **kwargs)
# Storage for EIM reduced problems
self.separated_forms = dict() # from terms to AffineExpansionSeparatedFormsStorage
self.EIM_approximations = dict() # from coefficients to EIMApproximation
# Store value of N_EIM passed to solve
self._N_EIM = None
# Store values passed to decorator
self._store_EIM_stages(stages)
# Avoid useless assignments
self._update_N_EIM__previous_kwargs = None
# Generate offline online backend for current problem
self.offline_online_backend = OfflineOnlineBackend(self.name())
def __init__(self, V, **kwargs):
# Call the parent initialization
ParametrizedDifferentialProblem_DerivedClass.__init__(
self, V, **kwargs)
# Storage for symbolic parameters
self.mu_symbolic = None
# Storage for DEIM reduced problems
self.DEIM_approximations = dict(
) # from term to dict of DEIMApproximation
self.non_DEIM_forms = dict() # from term to dict of forms
# Store value of N_DEIM passed to solve
self._N_DEIM = None
# Store values passed to decorator
self._store_DEIM_stages(stages)
# Avoid useless assignments
self._update_N_DEIM__previous_kwargs = None
# Generate offline online backend for current problem
self.offline_online_backend = OfflineOnlineBackend(self.name())