def __init__(self, *args, **kwds):
ConvergenceBase.__init__(self, *args, **kwds)
self._name = "Eckstein-Combettes (u,v) norm"
# the plugin computes the metric, so we'll just provide
# it a place to stash the latest computed value.
self._last_computed_uv_norm_value = None
def __init__(self, *args, **kwds):
ConvergenceBase.__init__(self, *args, **kwds)
self._name = "Eckstein-Combettes (u,v) norm"
# the plugin computes the metric, so we'll just provide
# it a place to stash the latest computed value.
self._last_computed_uv_norm_value = None
def __init__(self, *args, **kwds):
ConvergenceBase.__init__(self, *args, **kwds)
self._name = "optimality-gap"
def __init__(self, *args, **kwds):
ConvergenceBase.__init__(self, *args, **kwds)
self._name = "optimality-gap"
