def speedup_analysis(self, N_generator=None, filename=None, **kwargs):
# Perform first the EIM speedup analysis, ...
if ("with_respect_to" not in
kwargs # otherwise we assume the user was interested in computing the speedup w.r.t.
# an exact parametrized functions,
# so he probably is not interested in the speedup analysis of EIM
and
("EIM" not in
kwargs # otherwise we assume the user was interested in computing the speedup for a fixed number of EIM basis
# functions, thus he has already carried out the speedup analysis of EIM
or ("EIM" in kwargs and kwargs["EIM"] is not None
) # shorthand to disable EIM error analysis
)):
EIM_N_generator = kwargs.pop("EIM_N_generator", None)
assert is_training_finished(self.truth_problem)
set_map_from_problem_to_training_status_off(self.truth_problem)
for (coeff,
EIM_reduction_coeff) in self.EIM_reductions.items():
EIM_reduction_coeff.speedup_analysis(
EIM_N_generator, filename)
set_map_from_problem_to_training_status_on(self.truth_problem)
# ..., and then call the parent method.
if "EIM" in kwargs and kwargs["EIM"] is None:
del kwargs["EIM"]
DifferentialProblemReductionMethod_DerivedClass.speedup_analysis(
self, N_generator, filename, **kwargs)
def error_analysis(self, N_generator=None, filename=None, **kwargs):
# Perform first the DEIM error analysis, ...
if ("with_respect_to" not in kwargs
# otherwise we assume the user was interested in computing the error w.r.t.
# an exact parametrized functions, so he probably is not interested in the error analysis of DEIM
and
("DEIM" not in kwargs
# otherwise we assume the user was interested in computing the error for a fixed number
# of DEIM basis functions, thus he has already carried out the error analysis of DEIM
or ("DEIM" in kwargs and kwargs["DEIM"] is not None
# shorthand to disable DEIM error analysis
))):
DEIM_N_generator = kwargs.pop("DEIM_N_generator", None)
assert is_training_finished(self.truth_problem)
set_map_from_problem_to_training_status_off(self.truth_problem)
for (term,
DEIM_reductions_term) in self.DEIM_reductions.items():
for (_, DEIM_reduction_term_q
) in DEIM_reductions_term.items():
DEIM_reduction_term_q.error_analysis(
DEIM_N_generator, filename)
set_map_from_problem_to_training_status_on(self.truth_problem)
# ..., and then call the parent method.
if "DEIM" in kwargs and kwargs["DEIM"] is None:
del kwargs["DEIM"]
DifferentialProblemReductionMethod_DerivedClass.error_analysis(
self, N_generator, filename, **kwargs)
