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__init__(self,
model,
data,
prior,
noise_covariance=None,
tau=None,
sigma=1.0,
optimizer=<class 'linear_operators.iterative.optimize.FminSLSQP'>,
lanczos={ } ,
fmin_args={ } ,
callback=default_callback,
stop_condition=default_stop)
x.__init__(...) initializes x; see help(type(x)) for signature |
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outer(self)
Outer loop : Lanczos approximation. |
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inner(self)
Inner loop : Penalized minimization. |
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Inherited from algorithms.Algorithm :
__call__ ,
at_exit ,
callback ,
cont
Inherited from object :
__delattr__ ,
__format__ ,
__getattribute__ ,
__hash__ ,
__new__ ,
__reduce__ ,
__reduce_ex__ ,
__repr__ ,
__setattr__ ,
__sizeof__ ,
__str__ ,
__subclasshook__
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