def __init__(self,
beta_type=BetaTypes.HestenesStiefel,
orth_value=np.inf,
linesearch=None,
*args,
**kwargs):
"""
Instantiate gradient solver class.
Variable attributes (defaults in brackets):
- beta_type (BetaTypes.HestenesStiefel)
Conjugate gradient beta rule used to construct the new search
direction
- orth_value (numpy.inf)
Parameter for Powell's restart strategy. An infinite
value disables this strategy. See in code formula for
the specific criterion used.
- linesearch (LineSearchAdaptive)
The linesearch method to used.
"""
super(ConjugateGradient, self).__init__(*args, **kwargs)
self._beta_type = beta_type
self._orth_value = orth_value
if linesearch is None:
self._linesearch = LineSearchAdaptive()
else:
self._linesearch = linesearch
self.linesearch = None
def __init__(self,
beta_type=BetaTypes.HestenesStiefel,
orth_value=np.inf,
linesearch=None,
*args,
**kwargs):
"""
Instantiate gradient solver class.
Parameters
----------
Optional parameters
-------------------
:param beta_type: Conjugate gradient beta rule used to construct the new search direction
:param orth_value: parameter for Powell's restart strategy. An infinite value disables this strategy.
See in code formula for the specific criterion used.
:param linesearch: linesearch method
:param args: additional arguments
:param kwargs: additional arguments
"""
super(ConjugateGradientRobust, self).__init__(*args, **kwargs)
self._beta_type = beta_type
self._orth_value = orth_value
if linesearch is None:
self._linesearch = LineSearchAdaptive()
else:
self._linesearch = linesearch
self.linesearch = None
def __init__(self,
beta_type=BetaTypes.HestenesStiefel,
orth_value=np.inf,
linesearch=None,
*args,
**kwargs):
"""Instantiate gradient solver class.
Args:
beta_type (object): Conjugate gradient beta rule used to construct the new search direction.
orth_value (float): Parameter for Powell's restart strategy. An infinite value disables this strategy.
See in code formula for the specific criterion used.
- linesearch (object): The linesearch method to used.
"""
super(ConjugateGradientMS, self).__init__(*args, **kwargs)
self._beta_type = beta_type
self._orth_value = orth_value
if linesearch is None:
self._linesearch = LineSearchAdaptive()
else:
self._linesearch = linesearch # LineSearchBackTracking()
self.linesearch = None