def store(self, new_s, new_y):
"""
Store a new (s,y) pair. This method takes "small" vectors as
input, i.e., corresponding to the variables participating in
the quasi-Newton update.
"""
InverseLBFGS.store(self, new_y, new_s)
def store(self, new_s, new_y):
"""
Store a new (s,y) pair. This method takes "small" vectors as
input, i.e., corresponding to the variables participating in
the quasi-Newton update.
"""
InverseLBFGS.store(self, new_y, new_s)
def matvec(self, v):
"""
Take a small vector and return a small vector giving the
contribution of the Hessian approximation to the
matrix-vector product.
"""
return InverseLBFGS.matvec(self, v)
def matvec(self, v):
"""
Take a small vector and return a small vector giving the
contribution of the Hessian approximation to the
matrix-vector product.
"""
return InverseLBFGS.matvec(self, v)
def __init__(self, n, npairs=5, **kwargs):
"""
See the documentation of `InverseLBFGS` for complete information.
:keywords:
:vars: List of variables participating in the quasi-Newton
update. If `None`, all variables participate.
"""
self.on = n # Original value of n.
self.vars = kwargs.get('vars', None) # None means all variables.
if self.vars is None:
nvars = n
else:
nvars = len(self.vars)
# This next initialization will set self.n to nvars.
# The original value of n was saved in self.on.
InverseLBFGS.__init__(self, nvars, npairs, **kwargs)
def __init__(self, n, npairs=5, **kwargs):
"""
See the documentation of `InverseLBFGS` for complete information.
:keywords:
:vars: List of variables participating in the quasi-Newton
update. If `None`, all variables participate.
"""
self.on = n # Original value of n.
self.vars = kwargs.get('vars', None) # None means all variables.
if self.vars is None:
nvars = n
else:
nvars = len(self.vars)
# This next initialization will set self.n to nvars.
# The original value of n was saved in self.on.
InverseLBFGS.__init__(self, nvars, npairs, **kwargs)
def store(self, new_s, new_y):
# Simply swap s and y.
InverseLBFGS.store(self, new_y, new_s)
def __init__(self, n, npairs=5, **kwargs):
InverseLBFGS.__init__(self, n, npairs, **kwargs)
def store(self, new_s, new_y):
# Simply swap s and y.
InverseLBFGS.store(self, new_y, new_s)
def __init__(self, n, npairs=5, **kwargs):
InverseLBFGS.__init__(self, n, npairs, **kwargs)